Input: Page 9 of 51 Figure 2: Prevalence of NSE by categories of occupations ISCO. (Mid-2010s) Source: Own calculations based on Household surveys When these results are analyzed by the type of NSE, we find significant differences between the trends in Part-time and Temporary employment. On the one hand, there is a stable or growing prevalence of part-time employment among the salaried employees, where Uruguay is the only exception, characterized by a decrease in the incidence of this type of employment (Figure 3). In the cases of Peru and Bolivia, we find almost the same prevalence of part-time employment as two decades ago while in the remaining countries (Argentina, Brazil, Chile, Mexico, El Salvador and the Dominican Republic) there is a greater prevalence of part-time employment. Likewise, the prevalence of temporary employment shows a downward trend in most of the analyzed countries in the last 20 years (Figure 4). In fact, three of the five countries in which temporary employment could be identified show a significant drop in the prevalence of this type of employment (Argentina, Brazil, and Chile). El Salvador presents a stable incidence of temporary employment, while Mexico is the only country in our sample for which there is an increase in this type of NSE.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: Impacts of Extremism in Refugee ’ s Integration: Evidence from Afghan Refugees in Tajikistan * Laurent Bossavie † Sandra V. Rozo ‡ Mar ´ ıa Jos ´ e Urbina § Keywords: Refugees, Female Education, Extremism JEL Classification: F22, D74, J15, I21, I10 * The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent. All errors are our own. The team is grateful to the project “ Enhancing Government capacity in hosting temporarily Afghan refugees ”, funded under the Rapid Social Response Program (RSR) multi-donor Trust Fund of the World Bank, for funding data collection and allowing us to use the Afghan refugee survey as one of the multiple sources of data for the paper. The purpose of the project and the data it collected was to identify opportunities for refugee integration in Tajikistan. We acknowledge financial support from the Research Support Budget at the World Bank. We also thank Daniel Garrote for his initial support on instrument design and Merve Demirel for supporting data collection. † World Bank, e-mail: lbossavie @ worldbank. org ‡ World Bank, Dev. Usage context: supporting mention, primary mention, background mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: Anderson, J. (2011): “ The Gravity Model, ” Annual Review in Economics, 3 (1), 133 – 160. Angrist and Pischke (2009). Mostly Harmless Econometrics, Princeton University Press. AFAD (Disaster and Emergency Management Presidency of Turkey) (2013). Syrian Refugees in Turkey, 2013: Field Survey Results. Republic of Turkey Prime Ministry Disaster and Emergency Management Presidency. Akgündüz, Y. E., M. van der Berg, and W. Hassink (2015a). “ The Impact of Refugee Crisis on Host Labor Markets: The Case of the Syrian Refugee Crisis in Turkey. ” IZA Discussion Paper 8841. Akgündüz, Y. E., M. van der Berg, and W. Hassink (2015b). “ The Impact of Refugee Crises on Firm Dynamics and Internal Migration: Evidence from the Syrian Refugee Crisis in Turkey, ” mimeo. Aydemir, Abdurrahman and Murat Kırdar (2013). “ Quasi-Experimental Impact Estimates of Immigrant Labor Supply Shocks: The Role of Treatment and Comparison Group Matching and Relative Skill Composition, ” IZA Discussion Paper 7161. Baez, J. (2011). “ Civil Wars Beyond their Borders: The Human Capital and Health Consequences of Hosting Refugees. ” Journal of Development Economics 96 (2) November: 391 – 408. Usage context: supporting mention, primary mention, background mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input:
**Table 8: Flood Risk Classification of Proposed Subproject Sites**

| Site ID | District | Elevation (m) | 50-yr Flood Zone | Design Adjustment |
|---|---|---|---|---|
| S-04 | Rambora North | 312 | Outside | None |
| S-11 | Kalendo East | 287 | Inside | Elevated plinth |
| S-17 | Mwenda Central | 301 | Boundary | Drainage upgrade |
| S-22 | Ngozi West | 318 | Outside | None |

Flood hazard maps used for this classification were prepared by the National Flood Risk Management Authority and validated against historical flood records from the Ministry of Home Affairs' disaster registry.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 11 however, since they cannot distinguish between a country where the population is concentrated in one cluster covering 10 % of the territory and one where the population is concentrated in two clusters of 5 % each, but with a considerable geographical distance between them. Population and conflict geography in the Democratic Republic of Congo (DRC) corresponds to these arguments regarding population concentration and dispersion. Concentrations of language-based minorities are evident throughout eastern DRC. Due to the limited access of the government, the close proximity to international borders, and the dense population concentrations, these concentrated minorities have a higher potential of conflict than other, more accessible, sparsely populated areas of DRC. Figure 1 shows the population concentrations in 1990 (CIESIN data) for Central Africa. Heavily populated areas are shaded in deeper tones of red / grey. Civil conflict in DRC has overwhelmingly occurred in the eastern portion of the state, which is the most densely populated area and also geographically peripheral to the capital, Kinshasa. Of the eleven Congolese rebel groups accounted for in the dataset used in this paper, all have operated either exclusively or partially in the eastern and southern areas of DRC. Usage context: primary mention, supporting mention, background mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input:
more recent data. This suggests that ambiguity about index insurance can fall over time, with

loan restructuring after early flooding. The contract would be underwritten against recorded

water levels at a main river gauge station, using this data as a proxy for flood damage. This

10 This form of cat bond trigger is more analogous to a traditional insurance policy with its loss settlement process.
Other triggers are on _modeled losses_ or _industry losses_ . For _modeled losses_, instead of dealing with Proactive's
actual losses, an exposure portfolio is constructed for use with catastrophe modeling software. When there is a
disaster, the event parameters are run against the exposure database in the cat model. If the modeled losses are above
a specified threshold, the bond is triggered. For _industry losses_, the cat bond is triggered when an entire industry loss
from a certain peril for the insurance industry doing business in this country reaches a specified threshold.

information on renewable policy design was obtained mostly from IEA's renewable policy   database, and cross-checked with government websites, legislative texts and other related

collect generator-level wind installation data from a global wind farm dataset [20] to match

recent data
exposure database
global wind farm dataset

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: reason to believe that the provision of services by donors and non-state actors could either strengthen or weaken citizens ’ deference to government. I will identify the conditions under which these two scenarios are likely to occur. On the one hand, citizens may be less likely to support the government with deference to its laws and regulations when they credit non-state actors or donors for service provision. The provision of services by donors and non- state actors is likely to prompt citizens to question why they should pay taxes to a government that is not providing them with anything in exchange. On the other hand, the provision of goods and services by donors and non-state actors might strengthen citizens ’ legitimating beliefs and their willingness to defer to governmental laws and regulations if citizens view their government as essential to leveraging and managing these external resources. I assess these competing hypotheses using multi-level analyses of Afro- barometer survey data. The sample, drawn from a continuum of developing societies in Africa, allows us to analyze associations between donor and non- state actor service provision and the sense of obligation to comply with the tax authorities. Third, I assess the relationship between the provision of ser- vices by donors and non-state actors and citizens ’ willingness to defer to two additional authorities, the police and courts.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: The initiative includes four components, namely: a) training professionals to work with young men in the area of health and gender-equity using a set of manuals and videos; b) social marketing of condoms; c) promoting health services; and d) evaluating changes in gender norms. In 2002, PROMUNDO and Horizons began a 2-year evaluation to measure the effectiveness of two different approaches, compared to a control site. Researchers have developed a"Gender-Equitable Men"(Leichert) scale with 24 items for measuring attitudes. Methods include pre and post-tests as well as a six-month follow-up community-based survey. In addition, they are gathering qualitative information among men and their female partners. Preliminary results suggest that the program has been successful at increasing gender equitable norms and reducing behavior that puts men at increased risk of HIV / AIDS. ReproSalud (Peru): Manuela Ramos launched ReproSalud in 1995 as a USAID-funded rural reproductive health program. ReproSalud used participatory rural appraisal (PLA) to help women's groups identify women's reproductive health needs and to organize community meetings to design strategies to address those needs. Domestic violence and forced sex within marriage emerged as important problems in those communities. In response, ReproSalud organized workshops for women and men on gender issues, carried out community awareness campaigns and established a microcredit program for women. Usage context: primary mention, supporting mention, background mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: cents. The universe of blocks (“ manzanas ”) was stratified by socioeconomic strata and a representative sample of blocks was selected at random without replacement. To en- sure a sample representative of Colombian children by age group, stratum, and sex, we followed a multi-stage random sampling process. 8 As mentioned earlier, one of the biggest constraints in characterizing the role of forced migration in children ’ s human development within developing countries is the difficulty of finding a representative sample of those migrants. This is specially true in contexts where migrants are not hosted in refugee camps, but are integrated in local communi- ties, which account for 80 % of refugees worldwide (Climate Center 2022). We address these difficulties, leveraging all available information on Venezuelan settlements across the country to construct the largest possible comprehensive listing. The listing included data on Venezuelan settlements from all available sources, such as the 2018 population census, migrant organizations, and settlements identified by iMMAP, a non-profit orga- nization. iMMAP uses multiple sources, including OIM, United Nations, local migrant organizations, and satellite images, to identify Venezuelan settlements geographically. 9 Hence, to create our sampling frame, our field team verified the geographic location of all the Venezuelan settlements in-person and implemented a snowball sampling procedure in all the settlements found. Usage context: supporting mention, background mention, primary mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 3 quest for imaginative and convincing instruments for migration (see the review of the migration and poverty literature by McKenzie and Sasin, 2007, and the references therein). An additional hurdle is the need for panel data to study migration and economic mobility. The costs and difficulties in re-surveying migrants mean that attrition may be relatively high for this group and may also result in the loss of some of the most relevant households to study this process (Beegle, 2000; Rosenzweig, 2003). This paper uses unique data from a region in Tanzania to address this key question: What is the impact of physical movement out of the original community on poverty and wealth? Although we do not have experimental data, the nature of our data allows us to limit the potential sources of unobserved heterogeneity considerably. Building on a detailed panel survey conducted in the early 1990s, we re- interviewed individuals in 2004, making a notable effort to track individuals who had moved. The tracking of individuals to new locations proves crucially important for assessing welfare changes among the baseline sample. The average consumption change of individuals who migrated was more than four times higher than that of individuals who did not moved. Usage context: background mention, primary mention, supporting mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: This paper combines newly available data on the distribution of Syrian refugees across Turkey and the Turkish Labour Force Survey to assess their labor market impact. Syrian refugees are overwhelmingly employed informally, since they were not issued work permits, making their arrival a well-defined supply shock to informal labor. Consistent with economic theory our instrumental variable estimates, which also control for distance from the Turkish-Syrian border, suggest large-scale displacement of natives in the informal sector. At the same time, consistent with occupational upgrading, there are increases in formal employment for the Turkish- though only for men without completed high school education. Women and the high-skilled are not in a good position to take advantage of lower cost informal labor. The low educated and women experience net displacement from the labor market and, together with those in the informal sector, declining earning opportunities. Usage context: background mention, primary mention, supporting mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: Expected location in three years ��������������������������������������������������� iv Figure ES.3: Poverty incidence........................................................................... v Figure ES.4: Food insecurity scale...................................................................... v Figure ES.5: Refugee employment and proximity to resource hubs .................. vi Figure ES.6: Host response to “Refugees are good people” ............................ vii Figure ES.7: Host response to “Would you feel comfortable having a refugee as a neighbor?” ��������������������������������������������������������������� vii Figure 1.1: Refugees and asylum seekers in Ethiopia by country of origin, 1984-2023.................................................................................... 1 Figure 2.1: Refugees by survey domain ���������������������������������������������������������� 10 Figure 2.2: Country of birth............................................................................. 10 Figure 2.3: Refugees arrival in Ethiopia (15 years and above) ..................... 10 Figure 2.4: Age structure................................................................................. 11 Figure 2.5: Gender composition....................................................................... 11 Figure 2.6: Marital status (18 years and above) ��������������������������������������������� 11 Figure 2.7: Education level (18 years and above) ������������������������������������������ 13 Figure 2.8: Youth (15 to 24) education level �������������������������������������������������� 13 Figure 2.9: Refugees’ education outside of Ethiopia (18 years and above) .... 15 Figure 2.10: Children currently attending school ����������������������������������������������� 15 Figure 2.11: Gross Enrollment Rate (GER) �������������������������������������������������������� 16 Figure 2.12: Net Enrollment Rate (NER) ������������������������������������������������������������ 16 Figure 2.13: Share of children and youth above school age in education ....... 16 Figure 2.14: Reasons for not currently attending school ���������������������������������� 17 Figure 2.15:

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: Some data challenges common to refugees and IDPs Irrespective of the specific questions related to refugee and IDP data, there are also general questions that refer to the forcibly displaced in general and that are distinct from data collection of regular populations or even migrant populations. We explore here selected issues including sampling, unit of analysis, welfare measurement, multidimensional aspects, and the measurement of risks and vulnerabilities. Sampling. As mentioned, the UNHCR is really the only statistical agency for refugees and the UNHCR registry the only population census. As for any other populations, sampling requires the preparation of a master sample that derives from the population census. With various degrees of knowledge and accuracy, this is also what happens with refugees. However, the master sample is more difficult to construct than for regular populations because refugees live in camps and outside camps and are diluted in a host population with different types of arrangements. Some households rent, others stay at relatives ’ places, other live in makeshift shacks and others stay in camps. The information available in the UNHCR registry (the census) can also be quite inaccurate, as already discussed, and the degree of accuracy changes for different groups of refugees. Stratification by urban and rural areas, a typical approach in sampling, may mean little for a population that is mostly in urban areas whether in camps or outside camps. Refugees and IDPs are also mobile and more difficult to track over time than other populations. Several statistical institutes worldwide have developed methodologies to track and measure mobile populations such as herders, nomads or homeless people. However, tracking refugees from other countries has been in the Usage context: supporting mention, primary mention, background mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: The UNHCR data identify principal applicants for each household and our analysis examines differences in household poverty between households with a female rather than male principal applicant. 6 The principal applicant is the person who receives assistance from UNHCR for the family and is self ‐ selected or selected by the family. This definition of female headship has advantages over the way that household headship is commonly identified in household surveys. An often ‐ noted drawback of the headship variable is that female headship may reflect the enumerators ’ perception about who should be considered a family head rather than who has the most responsibility for the family ’ s welfare in practice. 7 Social norms can also affect whether female respondents self ‐ identify as household heads. For example, some Eritrean returnees who would in other cultural settings be regarded as de jure female headed (single mothers, widows, divorcees, separated women) reported being male ‐ headed. Other Eritrean female returnees who would be considered de facto heads reported headship by absent husbands or male relatives (Kibreab, 2003). Our approach is therefore to distinguish between different types of female and male principal applicant households, using a typology that reflects some of the indicators of vulnerability used by UNHCR. We find that distinguishing between different types of female principal applicant households is important in the setting of Syrian refugees in Jordan.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: Figure 7.17: Share or refugees involved in a community representative body 70 Figure 7.18: Share or refugees engaged in a community representative body by demographic group ���������������������������������������������������� 70 Figure 7.19: Discrimination and harassment ������������������������������������������������ 71 Figure 7.20: Discrimination and harassment by demographic group ....... 71 Figure D.1: Age group by gender................................................................ 100 Figure D.2: Refugees’ education document ����������������������������������������������� 100 Figure D.3: Share of school-age children in education per household ..... 100 Figure D.4: School-age children currently attending school by gender .... 101 Figure D.5: Reasons for not currently attending school by gender ........... 101 Figure D.6: Average annual household education expenditure (in ETB) ... 101 Figure D.7: Type of health institutions......................................................... 102 Figure D.8: Problems faced in health institutions ��������������������������������������� 102 Figure D.9: Stunting by gender of children ������������������������������������������������� 102 Figure D.10: Childbirth in health institutions (children under five years) 103 Figure D.11: No birth evidence available (children under five years) ......... 103 Figure D.12: Average annual per capita health expenditure ....................... 103 Figure D.13: Types of disability..................................................................... 104 Figure D.14: Rent expenditure (Refugees and hosts in Addis Ababa) ........ 104 Figure D.15: Hand washing facility................................................................. 104 Figure D.16: Top 3 difficulties with being a refugee by survey domains .....

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: Beneficiary assessments were conducted in all 24 target communities between February and May using a structured questionnaire administered by trained community development officers. The assessments captured household composition, livelihood strategies, access to basic services, and self-reported protection concerns. Results from the beneficiary assessments informed the design of component-level activities and the weighting of eligibility criteria used in the targeting formula applied during beneficiary registration.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: As can be seen from both panel A and panel B, non-violent conflicts seem to occur slightly more than violent conflicts. On average, the likelihood of violent conflict stands at about 48 %, while this figure increases to 52 % in refugee-hosting areas. Conflicts among more structured and large groups, as captured by the UCDP data, appear to be less frequent. UNHCR refugee data. To exploit the variation in ethnic diversity induced by the annual variation in refugees (and also to control for the direct effect of refugees on our outcomes), we use data on refugee camps provided by the UNHCR. The dataset contains detailed time-series information on the locations and sizes of 1, 453 refugee camps across the world and 821 refugee camps in Sub-Saharan Africa over the 2000 – 2016 period. To the best of our knowledge, the UNHCR currently provides the most comprehensive information available on refugees at the subnational level, allowing us to assess the ethnic composition of camps, which is key to our research question. First, we use the country of origin of refugees recorded for each year at the camp level to approximate the ethnic composition each camp. Second, we restrict the data on refugees to those aged 18 and above in order to make it comparable to the Afrobarometer- based individual data. Third, we only use data on refugees hosted within the boundaries of the host country. Merging data on refugee camps with the Afrobarometer, we end up with information on 172 camps 12

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input:
Several of the refugees interviewed for this research indicated that no one wanted to give them
work because of their status as a refugee in Cameroon. When discussing the treatment they
received from the host population and the ability to find a job, all refugees interviewed explained
that it was difficult for them “because I am a stranger”, “from the outside” or because “I am
different”.

Although there are many similarities between the refugee population and the host community,
there is also a clear distinction that exists; all refugee interviewed indicated that they experienced
some sort of harassment and/or discrimination because they were refugees, and most connected
this directly to their ability to find wage-earning work in Yaoundé. However, several refugees
stated that the discrimination they face is not experienced with all Cameroonians, in some cases
they indicated that the locals supported them and treated them well; simply put by one refugee
from CAR, “some Cameroonians are nice, some are not.”

As discussed previously, identity documentation is a big problem for refugees living in
Cameroon, as many authorities and institutions do not recognise UNHCR identity cards and

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: the intensity of conflicts, and iv) population density in refugee host countries by region. Appendix B presents the list of variables along with description and summary statistics. 5. Empirical strategy To estimate the impact of refugee inflow19 on host community ’ s livelihood strategy choice, we use the following basic econometric model: 𝑌𝑌𝑖𝑖 = 𝛼𝛼 + 𝛽𝛽𝑅𝑅𝑅𝑅𝑖𝑖 + 𝛾𝛾𝑋𝑋𝑖𝑖 + 𝜈𝜈 + 𝜀𝜀𝑖𝑖 (1) Where, 𝑖𝑖 indexes a household, 𝑌𝑌𝑖𝑖 is an outcome variable of interest (livelihood diversification or commercialization of agriculture), 𝑅𝑅𝑅𝑅𝑖𝑖𝑖𝑖 is the measure of refugee inflow, i. e., the refugee population (average of 2017 and 2018) in the nearest refugee camp weighted by the inverse of distance of the household to the refugee camps, 𝑋𝑋𝑖𝑖 is a set of household controls, 𝜈𝜈 is kebele fixed effects, and 𝜀𝜀𝑖𝑖 is the error term. Several variables, from the DRDIP data set, were used as controls in our model. Usage context: background mention, primary mention, supporting mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 14 3. Refugees as Agents of Their Own Destiny 3. 1 The Composition of Africa ’ s Refugee Population and Its Consequences One of the first elements that catch the eye in Figure 6 is the difference in the composition of the refugee population in Africa compared to the rest of the world. The share of children and women among refugees is higher in Africa than elsewhere, in particular East and West Africa stand out here. This is, at least partly, a consequence of Africa ’ s younger, general population, but other forces could be at work as well, e. g. higher mortality of adult males in Africa or adult males staying behind or being separated from the rest of the household. It does mean however that, relative to other areas, more attention should be going to the needs and capacities of women and children in Africa. This means, for example, adaption of and increased supply of schooling and health services. Figure 6. The composition of refugees by age and gender, 2013 Source: Note: UNHCR statistics (UNHCR 2014). Asia excludes Australia, Japan and New Zealand. Americas exclude Canada and the United States. These percentages have been calculated by country when demographic data are available for at least 30 % of the total. Usage context: supporting mention, background mention, primary mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 3 The main contributions of this article lie in identifying and overcoming these challenges in order to construct a consistent and complete set of origin – destination matrices of international migrant stocks for 1960 – 2000, disaggregated by gender. The starting point is a master set of 226 origin or destination countries and regions. Despite border changes, all migrants are assigned to this master set so that migrations can be meaningfully tracked over time. These assignments, especially in cases where only aggregate data are available, are made using several alternative propensity measures based either on a destination country ‘ s propensity to accept international migrants or on an origin country ‘ s propensity to send migrants abroad. Cases of omitted data occur when destination countries do not collect or publicly disseminate the information on migrants. When data from census rounds are missing altogether, the approach taken depends on the extent of the omission (see appendices 3 and 4). When sufficient data are available for other decades, interpolation is used. When not enough data are available, propensity measures are used to generate bilateral data. When a gender breakdown is missing, gender splits are calculated based on supplementary statistics or other data in the matrices (see appendix 5). Usage context: background mention, primary mention, supporting mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input:
The novelty is that a new, more spatially and temporally detailed data set for nightlights, the Visible Infrared Imaging Radiometer Suite (VIIRS) product from the National Oceanic and Atmospheric Administration (NOAA), following the work of Elvidge et al. (2017), is employed. In addition, settlement layers have been used to remove nightlight cells with zero population to reduce the impact that "empty" cells could have on the analysis.

This paper utilizes a newer nightlight data set, the VIIRS Day/Night Band (DNB) provided by
The Earth Observations Group (EOG) at NOAA/NCEI. The data are produced following the
methodology of Elvidge, et al.

The VIIRS data have a number of advantages over the widely used, but now discontinued,
Defense Meteorological Satellite Program (DMSP). Firstly, they have a higher resolution,
450m by 450m compared to 1km by 1km for the DMSP.

The WorldPop data sets have been used to identify settlement areas in Myanmar and Vietnam
(WorldPop 2013) (Worldpop 2016). These data sets have a spatial grid cell resolution of
approximately 100 meters at the equator and estimate the number of persons per square.

\n<!-- PAGE 13 -->\nFor Indonesia, the Philippines and Thailand high resolution settlement layers from Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University was used.

Visible Infrared Imaging Radiometer Suite (VIIRS) product from the National Oceanic and Atmospheric Administration (NOAA)

Defense Meteorological Satellite Program (DMSP)

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: by the migration episode. These include the minors age and sex, the parent ’ s and grand- parent ’ s education pre-migration, and a wealth index constructed with retrospective in- formation on the household conditions pre-migration. 14 Grandparent ’ s education is used a proxy for living standards that is unaffected by the migration episode from Venezuela to Colombia and the Venezuelan crisis, which intensified in 2016. ϵij depict the standard errors clustered at the household level to correct for intra-household correlation. For robustness, we will present the estimates of equation 1 with and without controls. As further robustness, we use propensity-score weights (Hirano and Imbens 2001, Hirano, Imbens and Ridder 2003). 15 V. A Physical development: Body Mass Index and health status In our study, we examine disparities in nutritional and health status among Colombian and Venezuelan children aged 5 to 10 years, focusing on standardized body mass index (BMI), instances of overweight and underweight, and overall health status. The BMI serves as an indicator of nutritional status for both adults and children, calculated as an individual ’ s weight in kilograms divided by their height in meters squared, according to World Health Organization (WHO) guidelines.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: However, we can- not exclude the possibility that refugees would sort non-randomly into areas with particular ethnic characteristics. 19 In order to address this potential endogeneity, we implement an instrumental variable (IV) ap- proach. We are particularly concerned about certain ethnic groups from certain countries of origin moving to destination countries with similar ethnic characteristics. Such endogenous selection would be reflected in the EPR-ER data. To deal with the plausibly endogenous nature of the resulting refugee EF and EP indices, we implement a gravity model to predict the number of refugees of a certain ethnic group e moving from country o to d at time t, based on EPR-ER data. The predicted (and plausibly exogenous) number of refugees by ethnic group e is then used to create other (plausibly exogenous) diversity indices to be used as instrumental variables. More specifically, we estimate the following gravity model: 17We also use this method to link data from EPR-ER on the ethnicities of refugees with data from the Murdock Atlas on their historical homeland (Section 4. 3). 18As a robustness check (Section 5. 3), we use an alternative linkage based on the relations between sets of language nodes associated with two groups. 19Another source of selection may come from the fact ethnic groups are more likely to be displaced when they share territory with regime supporters in their countries of origin (Lacina et al., 2017). Since similar ethnic groups are likely to share common borders (Michaelopoulos and Papaioannou, 2016), it is not impossible to think conflict might spill over through this channel. 19 Usage context: supporting mention, background mention, primary mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: First, most of the studies only consider a subset of occupation or livelihood activities (mainly employee-based) and do not provide a full picture of the livelihood impacts of refugee presence on host communities. We consider an exhaustive set of livelihood activities in which households (individuals) in the impacted communities may engage. 7 Second, prior studies tend to focus on the different livelihood activities separately (i. e., whether the individual adult members or the household engage in each of the livelihood activities). 8 Therefore, they are unable to infer whether households are diversifying or specializing their livelihoods or are engaging more on the commercialization of activities. 9 The current paper goes beyond the allocation of labor to individual (specific) 7 As the data we used does not have a good welfare indicator (e. g., income, consumption, and assets), we could not explore the welfare impact of refugee inflow. 8 We examined households ’ engagement in individual livelihood activities as a mechanism for household livelihood strategies. 9 Generally, households tend to diversify their livelihood when facing negative shocks (e. g., conflicts, droughts) to minimize risk (Ellis 2000a, b). In the case of refugee inflow, households may either diversify or specialize as refugee inflow could be both a negative shock (through increase competition for resources, services, and employment) and a positive shock (through creating opportunities, such as high demand agricultural products, provision of cheap labor). Usage context: background mention, primary mention, supporting mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 10 Figure 3: Level of education age 25 +; compared with regional average (%) (*) INSTAT refers to census 2009 Source: Listening to Displaced People Survey, 2014. With regards to ownership of consumer durables, IDPs, refugees and returnees were better endowed than the average citizen of the North (see Figure 4). As was the case for education, they are more comparable to the average citizen in Bamako than to the average citizen in the regions of Gao, Timbuktu and Kidal. Figure 4: Asset ownership compared with regional average Source: Listening to Displaced People Survey, 2014 and EMOP 2011 (INSTAT). The main occupation of IDPs, refugees and returnees before the crisis was commerce (Table 5). This held for over half of the IDPs, 37 % of refugees and 34 % of returnees. 18 % of the refugees 51 85 60 47 85 89 87 15 6 18 29 11 8 8 34 9 22 25 5 3 5 IDPs Refugees Returnees Bamako (INSTAT) Gao (INSTAT) Timbuktu (INSTAT) Kidal (INSTAT) Secondary or Higher Primary None 0 100 200 300 400 500 600 IDPs Refugees Returnees Bamako (Instat) Gao (Instat) Timbuktu (Instat) Kidal (Instat) Percentage Mobile Phone Car / Motorized Vehicle Motorbike / scooter Bicycle Refridgerator TV CD Usage context: primary mention, supporting mention, background mention.

Displaced People Survey
Listening to Displaced People Survey

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: cope with the emergencies that arise all too often. 20 To facilitate successful coping and provide a safe place to save, the EPAG program assisted each participant to set up a savings account at a local bank if she did not already have one. Table 5 presents midline survey results that indicate that the treatment group were nearly 50 percentage points more likely to have savings than the control group, and were saving on average LD 2500 (nearly US $ 35) more than the control group. EPAG graduates were also twice as likely as the control group to have outstanding loans (six percent v. three percent), and have loans from formal lenders (five percent v. two percent), 21 although the overall rate of obtaining credit remains extremely low. 4. 3. Empowerment The Adolescent Girls ’ Initiative is based on the hypothesis that livelihood and life skills training for young women will improve their lives in more than just narrowly-defined economic dimensions. In addition, evidence is increasing that these soft skills are also essential for success in employment (Borghans et al. 2008). Usage context: supporting mention, primary mention, background mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 2 Over the past three or four decades, the Arab world has experienced a massive expansion in educational attainment. According to the Barro and Lee educational attainment dataset, seven out of the top 20 countries in terms of increase in number of years of schooling from 1980 to 2010 were Arab countries (Barro and Lee 2013). 1 Jordan, the subject of this paper, had the seventh highest increase in educational attainment in the world, with an increase of about five years in the average years of schooling over the period. This increase is widely believed to be attributable to a massive public investment in the supply of schooling in the postindependence period in the context of a state-led development model, which virtually guaranteed employment in the public sector for graduates (Assaad 2014; Saleh 2016). The rapid increase in educational attainment has continued unabated despite the fall in returns to education that accompanied the demise in the state-led model and its employment guarantee schemes (Pritchett 2001). A slew of recent literature on the drivers of the Arab Spring protests, some of which occurred in Jordan, has identified the low economic returns to this massive increase in education as the single most important cause of the uprisings (Goldstone 2011; Campante and Chor 2012a, 2012b, 2014; Sanborn and Thyne 2014). Usage context: background mention, primary mention, supporting mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 19 children and 61 % of caregivers prefer to remain in Italy. Adolescents between the ages of 15 and 19 express a greater desire to continue living in Italy compared to children aged between 9 and 14. Another survey conducted across Europe from June to December 2022 shows that only 8 % of Ukrainian refugees planned to settle outside Ukraine (Adema et al., 2024). Compared to other foreign children in Italy, the aspirations of Ukrainian refugees to return to Ukraine seems signiϐicantly higher: indeed, a recent study from ISTAT on children 11 to 19 years old shows that only 11 % of foreign children wish to return to their home country (ISTAT, 2024). The relatively strong desire to return to Ukraine can have negative effects in refugee parents'educational decisions, particularly in encouraging their children to learn the language of the host country and in enrolling in school (Dryden-Peterson et al., 2019; Zengin and Atas-Akdemir, 2020). Figure 6- Aspirations and identity of refugee caregivers and students (Source: World Bank Survey on Ukrainian refugees in Italy) Many students facing uncertain futures try to stay connected to both educational systems. Findings from the World Bank survey indicate that 25 % of children are engaging in online Ukrainian schooling while being enrolled and attending Italian schools.

World Bank Survey on Ukrainian refugees in Italy

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input:
- Advocacy vis-à-vis allied, Government and AGEs with regards to the use of weaponry that may
leave ERW in heavily populated areas;

- Advocacy on the need to clear battle sites post kinetic engagement, especially in populated
areas;

- Strengthen resource mobilization efforts to ensure the sector can function at full capacity. The
total funding for mine action requested through the HRP is $3,080,676 (across MRE,
EOD/survey and coordination), of which 80% ($2,485,695) has been mobilised.

**Child protection**

During displacement and emergencies and conflict, violations of child rights occur in multiple forms.
The increased insecurity caused by violence and conflict has exacted an increasing toll on children in
terms of the number of civilian casualties along with serious child protection concerns.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: not the Zone capital or Woreda city, and 17 percent of in-camp refugees live in remote areas far from a Zone capital city, Woreda city, or a border. When looking at accessibility, as defined by a market accessibility index, more than one-third of the refugees are located in areas with low market accessibility (Figure 6.1b). The analysis measures the nearest Zone and Woreda capital cities and the closest international border from refugee camps using straight-line distance in a projected coordinate system (Euclidean distance). The study indexed refugees’ proximity to resource hubs by classifying their presence to a combination of distance to cities and borders. Level one is the presence of refugees within a radius of 20km from a Zone capital city. Level two is 10km away from a Woreda city but not within a radius of 20km from the Zone capital city. Level three is for refugees located 30km from the nearest international border but not within a radius of 20km from the Zone capital city and 10km from Woreda city. We classify level four as “remote”; that is, not located 30km from the nearest international border, not within a radius of 20km from the Zone capital city, and not

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 11 Figure 3: Location of refugee camps in Ethiopia and the Ethiopia Development Response to Displacement Impacts Project (DRDIP) sample households Source: Authors ’ compilation using the database of the Global Administrative Areas (GADM) (https: / / gadm. org / data. html, accessed November 20, 2020) and the Humanitarian Data Exchange (HDX) database for the refugee location (https: / / data. humdata. org / dataset / ethiopia- refugee-camp-locations, accessed November 20, 2020). From the Ethiopia DRDIP data set, we derive two measures of livelihood diversification and two measures of agricultural commercialization (all at household level). The measures of diversification include: (i) the degree of labor diversification in different productive livelihood activities (e. g., farming, wage employment) as a primary activity (occupation), and (ii) the degree of labor diversification in different livelihood activities as a secondary activity (occupation). 13 These two outcomes were constructed using the inverse Simpson diversity index as 1 ∑ 𝑛𝑛 𝑖𝑖 𝑆𝑆𝑖𝑖 2, where 𝑆𝑆𝑖𝑖 is the share of the number of adult labor engages in 𝑖𝑖𝑡𝑡ℎ livelihood activity to total active adult household labor and 𝑖𝑖 ranges from 1 to the number of livelihood activities that a household engages in (Valdivia et al. 1996). Usage context: background mention, primary mention, supporting mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: Thirty-eight percent of the sample was already engaged in at least one income-generating activity (IGA) at baseline. This is consistent with the national figures from the 2007 DHS survey, which found labor force participation rates of 34 % for women aged 15-19 and 49 % for women ages 20-24. It is also consistent with the Liberian 2010 Labor Force Survey, which found labor force participation rates of 25 % for women aged 15-19 and 47 % for women aged 20-24. For the purposes of this study, to be consistent with program objectives and the Liberian context, our definition of income-generating activity encompasses the full range of activities through which people earn money, including paid employment, either formal or informal, and self-employment in small business or through petty trade. The most common types of IGAs reported at baseline were petty trade, including 15 The balance tests are run on the same sample as will be used in the impact analysis in Section 4, that is, the subset of individuals for whom we have a panel. Balance tests run on the full sample of baseline survey respondents, regardless of whether they also participated in the midline survey, confirm the same findings. A report summarizing the balance tests on the full sample, including comparisons to nationally representative data, is available upon request from the authors. 9

2007 DHS survey
Liberian 2010 Labor Force Survey

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: Following the approach used for the Global Costing of Refugee Inclusion, successful inclusion is defined as earning sufficient income to be no longer poor and to consume more than the (international) poverty line. This definition opens two tracks for investigation: first, how much aid would be needed if the policy objective were to bring refugee consumption up to the poverty line. The answer to this question is found by identifying the poverty gap for refugees. This opens the second track which explores the factors that determine, or at least that are associated with, the size of the poverty gap. The note is organized as follows. The next section discusses data and presents some key descriptive statistics on refugees and host communities in Uganda. This is followed by a methodological section discussing how own income and aid are complements and how an analysis of poverty gaps informs about the need for assistance. This is followed by two analytical sections. The first identifies refugee poverty gaps, and assistance needs for refugees with distinct characteristics. The following section estimates how much has been saved by including refugees in the economy and explores how more could be saved. Conclusions follow. 2 The poverty numbers in World Bank (2019) are based on the official poverty line adopted in Uganda in 1997. There was a need to update this line as it was too old and producing a very low poverty rate. For example, using this line produced a national poverty rate of about 21 percent in 2019 / 20 compared to more the than 40 percent international poverty rate using the USD 2. 15 2017 PPP daily poverty line. In order to address this criticism, the poverty line was revised by the Uganda Bureau of Statistics in 2021, but it is not available for the 2018 Refugee and Host Communities Household Survey used in this note. Instead, we are using the international poverty line throughout. Usage context: primary mention, supporting mention, background mention.

2018 Refugee and Host Communities Household Survey

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input:
Annual grid-level GDP data between 1990 and 2014 at a 0.5-degree resolution come from Kummu, Taka and

Guillaume (2018a). The data are primarily based on sub-national GDP per capita data constructed by Gennaioli,

Is the relationship between rainfall and GDP explained by agriculture? We use data from the ESA CCI project

to determine the share of cropland within each cell at the beginning of the period (ESA starts in 1992) and split

different weights. Population is taken from HYDE 3.2 (Klein, Beusen and Janssen 2010).

The work compares food prices subnationally and finds that increasing prices are the most significant factor driving recent food insecurity but documents strong spatial heterogeneity in both market price dynamics, as well as relations to food insecurity, and provides examples of markets where prices are more sensitive to localized shocks. 4For instance, the International Finance Statistics (IFS) data base of the IMF reports monthly price data at Consumer Price Index (CPI) component level, but few developing countries report food price data without substantial delays.

International Finance Statistics (IFS) data base of the IMF

grid-level GDP data
sub-national GDP per capita data

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input:
scholarship program, and data on school enrollment and attendance from an unannounced school visit.

<!-- PAGE 5 -->
random sample of 6 [th] grade girls in the primary feeder schools to the JFPR secondary schools, or even of

Local Management Committee (LMC) of the relevant JFPR secondary school. The LMCs were then

The second source of data for this evaluation is based on an unannounced school visit to each one

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: The World Bank's online screening tool was used to determine the project's environmental and social risk classification. Based on the nature and scale of proposed activities, the risk was classified as Substantial, triggering the application of ESS1 (Assessment and Management of Environmental and Social Risks and Impacts), ESS2 (Labor and Working Conditions), ESS4 (Community Health and Safety), and ESS10 (Stakeholder Engagement and Information Disclosure). The findings informed the scope of the Environmental and Social Assessment and the Stakeholder Engagement Plan.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: Combining almost 50, 000 responses to 11 cross-sectional surveys between 2017 and 2021, displacement is negatively associated with perceptions of social cohesion in aggregate. But at the individual level, those who report hosting displaced populations in their communities often have higher perceptions of social cohesion. These results are strongest among respondents who self-report hosting IDPs as opposed to refugees, but important heterogeneity across indicators, local context, and gender should guide policy meant to promote social cohesion in forced displacement. This paper is a product of the Social Sustainability and Inclusion Global Practice. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world. Policy Research Working Papers are also posted on the Web at http: / / www. worldbank. org / prwp. The authors may be contacted at ppham @ hsph. harvard. edu. Usage context: supporting mention, background mention, primary mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input:
**Table 6: Flood Hazard Classification and Infrastructure Design Standards**

| Return Period | Design Standard Required | Additional Measures |
|---|---|---|
| < 10-year zone | Standard design | None |
| 10–50 year zone | Elevated foundation | Drainage upgrade |
| 50–100 year zone | Flood-proofing required | Emergency access route |
| > 100-year zone | Avoid siting | Relocate |

Flood hazard maps were provided by the national meteorological and hydrological service. All school and health facility sites were verified against the 100-year flood hazard boundary before final design approval.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 41 Note: Refugee data are from the UNHCR statistical population online dataset, accessed in September 2014. Refugee data from 2007 to 2013 include people in refugee ‐ like situations (see note, Figure 1). IDP data from 1990 to 2008 are aggregated based on Center for Systematic Peace (http: / / www. systemicpeace. org /). UNHCR assisted ‐ IDP are compiled based on several UNHCR (1995, 1996, 2007, 2008, 2009, 2010, 2011, 2012, 2013, and 2014) reports. UNHCR ‐ assisted IDPs are only IDPs who are protected / assisted by UNHCR. These are also not necessarily representative of the entire IDP population in a given country. Many of the world's IDP situations are not covered by UNHCR and are thus not reflected. Since some adjustments could take place over time, we always use the figures from the last available report. Usage context: background mention, supporting mention, primary mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: (2009) have shown that, in Nepal, subjective welfare is negatively associated with geographical isolation. Census data on total population and population density in each district are used as proxies for urbanization and geographical proximity: the denser the population, the less geographically isolated individuals are likely to be. We also include data on the average elevation in each district. Nepal being a mountainous country, the higher the average elevation of a district, the more costly it is to build roads, raising transport and delivery costs to the district. Ceteris paribus, we expect migrants to seek out districts with a higher population density and a lower elevation. 4 Econometric results 4. 1 Univariate analysis We now investigate the choice of migration destination. We begin with simple univariate analysis. Variables are of the form ∆ h is = xh s − xh i where i is the district of origin of migrant h and s is each of 74 possible districts of destination. We examine the average value of ∆ h is for the destination district and compare it to the value of ∆ h is for alternative destinations. For instance, let xh s be population density in district s. The average value of ∆ h is for the actual destination of the migrant tells us whether the destination district is more densely populated than the district of origin.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 5 3. Data The data used in this paper have been collected through the Listening to Displaced People Survey (LDPS). 4 The baseline face-to-face interviews were executed between June and August 2014. The following 12 monthly interviews – from August 2014 until August 2015- were conducted using mobile phones. 5 The original sample comprised 501 respondents (51 % Male, 49 % Female) and was divided between internally displaced people (IDPs) located in the capital city Bamako, 6 refugees living in refugee camps in Mauritania and Niger, as well as returnees living in the regional capitals Gao, Timbuktu and Kidal in Northern Mali. This survey did not collect information on individuals who were never displaced. The attrition rate was very low, always around 1-2 % per wave. We need to stress that the locations were not randomly selected. Bamako was selected because it hosted a large number of IDPs. Furthermore, the main cities in the north of Mali were chosen to obtain a large sample of returnees given the funds available. Finally, a refugee camp was located in Niger since bureaucratic issues did not allow the inclusion of a camp in Burkina Faso. Nevertheless, households were selected randomly within each location.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: The ESMF classifies project activities in five environmental risk tiers. Tier 1 activities — routine administrative operations with no physical footprint — require no screening documentation. Tier 2 activities — minor civil works in existing built-up areas — require completion of the ESMF screening form. Tiers 3 through 5 require progressively more detailed ESMPs. All civil works under Component 2 were classified as Tier 3 or above, and individual ESMPs for each site have been disclosed to affected communities and uploaded to the Bank's Operations Portal.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: and refugees. 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3 3.1 Eritrean Somali South Sudanese Addis Ababa All Hosts Figure 7.10: Host attitudes Index Source: World Bank Staff based on SESRE 2023. Note: This index is an average of ten questions regarding beliefs about refugees’ character, the rights they should receive, and their impact on the host community. The scale ranges from 1-4, where more positive indicates better attitudes. 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 3.1 Male Female Male Female Male Female Male Female Male Female Eritrean Somali South Sudanese Addis Ababa All Hosts Figure 7.11: Host attitudes index by gender Markets and Opportunities 68 framework. This is presented in Annex D, Table D.18. While attitudes are less positive for men, as we have seen, this difference is not statistically significant after controlling for age and education. There is no clear pattern in attitudes by age and education. Based on regression analysis, the most significant predictor of positive host attitudes and trust is whether they think the presence of refugees has improved local infrastructure or services. This hints at the importance of local service delivery in driving host attitudes. On average, controlling for other characteristics and regions, hosts

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: Produced by the Research Support Team Abstract The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development / World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent. Policy Research Working Paper 6832 This paper presents findings from the impact evaluation of the Economic Empowerment of Adolescent Girls and Young Women (EPAG) project in Liberia. The EPAG project was launched by the Liberian Ministry of Gender and Development in 2009 with the goal of increasing the employment and income of 2, 500 young Liberian women by providing livelihood and life skills training and facilitating their transition to productive work. The analysis in this paper is based on data collected during two rounds of quantitative surveys in 2010 and 2011, the second of which was conducted six months after the classroom-based phase of the training program ended. Usage context: supporting mention, primary mention, background mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: 15% 25% 12% 71% Participation (relaxed) 30% 22% 54% 60% Unemployment (relaxed) 30% 57% 21% 82% Employment-to-population ratio 21% 9% 43% 11% Source: World Bank Staff based on SESRE 2023. Note: Labor force participation ratio is the share of working-age people who are engaged in the labor market, either employed or unemployed. Unemployment is the share of people participating in the labor force who are not employed. The “relaxed” definition of labor force participation includes anyone who is available to work. The “strict” definition of labor force participation includes only those who are available to work and also actively searching for work. Employment-to-population ratio is the share of working-age people who are employed. 0 20 40 60 80 100 Camp Hosts Male Camp Refugees Male Addis Hosts Male Addis Refugees Male Employed Unemployed, searching Unemployed, not searching Inactive not in school Inactive in school Percent Figure 3.28: Male youth work status Source: World Bank Staff based on SESRE 2023. Employed Unemployed, searching Unemployed, not searching Inactive not in school Inactive in school Percent 0 20 40 60 80 100 Camp Hosts Female Camp Refugees Female Addis Hosts Female Addis Refugees Female Figure 3.29: Female youth work status Source: World Bank

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: prior to the pandemic, a period characterized by less distinct time trends in the labor market. Since the focus of the paper is on the impact of COVID on labor market stock and dynamics, we also restrict the sample of interest to include only prime-aged working adults (aged 20 to 59). The dataset contains standard variables expected of a labor force survey, including those denoting employment, unemployment, and inactivity. It also contains information on the intensive margin of the labor supply, including hours worked and full-time and part-time status. Information on employment sector, industry, contract status, health insurance coverage, and mode of work (distinguishing between employees and self-employed, for example) is also available, allowing us to construct indicators of formality and to differentiate different modes of employment. Information on occupation is also available, but only at the level of 2-digit ISCO-08 classification. This information is enough to distinguish between white- and blue-collar occupations but it is not enough to observe additional relevant pandemic-related job characteristics such as the degree of contact with the public. 3. 2 Descriptive statistics Figure (1) tracks the evolution of labor market stocks in the West Bank and Gaza respectively over time. Usage context: background mention, primary mention, supporting mention.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source


Input: that are at a maximum distance of 80 km from the 7, 547 clusters. 12 Figure 1 shows the locations of these refugee camps and clusters. Clusters are represented in green, while clusters in the vicinity of a refugee camp are represented in red. Refugee camps are designated with a red + sign. There are some important limitations associated with this data. First, the data only provides information on refugees residing in camps monitored by the UNHCR. In Figure B. 7, we combine the UNHCR refugee camp data on the annual number of refugees and the UNHCR official statistics on refugees (which includes people in refugee-like situations) at the country level. 13 Although the overall trends match, our constructed dataset clearly underestimates the true refugee population in Africa, which is not surprising since our camp-specific data does not contain dispersed refugees or refugees living outside of camps. While our data seem to represent quite fairly the number of refugees in camps, there is significant heterogeneity across countries. Based on the visual inspection of Figure B. 8, the quality of the refugee data appears to be less reliable for the following countries in our sample: Gabon, Mali, Senegal, and Togo.

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a dataset, survey, database, index, census, registry, or information system with a specific proper name that can be cited, queried, or downloaded as a data source

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a data source described by its characteristics or producer rather than a proper name, containing a data noun and at least one identifying descriptor

A data mention (a data-bearing mention) is text that talks about or is referenced as data. Specifically, a general reference to data, information, or statistics that contains a data noun but lacks enough specificity to identify the exact source