Input: Most importantly for the purpose of the analysis is the fact that the survey provides individual-level data on own schooling and parents ’ schooling for all adults in the sample, which is quite rare in household surveys from developing countries. Also, the survey provides the actual years of schooling completed and not only the highest educational degree attained, which allow observing the schooling variable with precision.

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 database lists seven categories: refugees, asylum-seekers, returned refugees, internally displaced persons (IDPs), returned IDPs, stateless persons and others of concern. For each group the database provides yearly information about their composition by loca- tion of residence and origin. We exploit only the data on “ refugees ”. 22 In particular, we are interested in the annual stock of refugees for each country of residence, i. e. how many people with refugees status have left their home country each year. We focus on these numbers as they appear to be the most comparable across time and countries. However, this is likely to capture only the tip of the iceberg in some cases. The number of IDPs is extremely high in some instances but cannot be captured with the same level of conﬁdence as refugees generally. 23 Cross-country data about conﬂict is provided by the UCDP / PRIO. As for the index of country-level economic activity, we use again information provided by the Penn World Table and World Bank databases. As mentioned above, our aim is to explore the dynamics of refugees during conﬂicts. In other words, we attempt to answer several questions. 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: Without army protection most parts of the North, especially Kidal remain inaccessible to those working for the central and local government. 3 Armed bandits are active and IED explosions as well as violent attacks on the MINUSMA peacekeeping forces are regular occurrences. Under these circumstances, data collection is very difficult. INSTAT, the National Bureau of Statistics, has not been in a position to collect information from northern Mali since the beginning of the crisis. To our knowledge, our surveys implemented by a private survey entity, GISSE, are the only systematic and representative effort to collect data in north Mali since the crisis. They offer a unique database providing a crucial perspective that would otherwise not be reflected in academic analyses and policy level decision-making, and a perspective that is indispensable in any attempt at understanding the situation in Northern Mali. 4 Preceding the Accord on Peace and Reconciliation in Mali (Accord pour la paix et la réconciliation au Mali) (hereafter, the Peace Accord) of May and June 2015, four peace accords had been signed between the government and Toureg and Arab armed groups in 1 Kel Tamasheq (those who speak Tamasheq) is synonymous for Tuareq. 2 Francis David (2013): The regional impact of the armed conflict and French intervention in Mali. NOREF, Norwegian Peacebuilding Resource Centre. 3 Assessing Recovery and Development Priorities in Mali ’ s Conflict-Affected Regions. Draft Report of the Joint Assessment Mission for Northern Mali (January 2016), p. 15-16. 4 All data can be downloaded from www. gisse. org. 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:
Firms listed in the NBS registry without a contact telephone number were also excluded from the sampling
frame. Hence, all survey results should be interpreted as representative of more formal business activities.

To ensure that robust estimation results can be obtained for different subpopulations, the survey used a
dedicated sampling strategy. Based on information from the NBS, all registered firms were divided into
five distinct strata, depending on their reliance on transport systems. Ordered from low to high transport
reliance, these strata contain firms from the following sectors:

Direct asset losses are the most tangible impact of disasters on firms. In high-income countries, a range
of institutions, such as insurance companies or governmental organizations, collect data on direct losses
(for the United States, see, for example, Smith and Katz 2013). In developing countries, where insurance
markets and data collection are limited, less is known about the direct losses that firms incur. While
databases such as EM-DAT provide some data on aggregate direct disaster losses, few quantitative firmlevel studies have been conducted. One exception is De Mel et al. (2012), who analyze the impact of the

Firms incur a wide range of losses due to disasters, both in terms of direct damages and indirectly
transmitted costs. Based on the data collected for this study, Appendix B offers a full discussion of the
scale and type of firms' disaster losses.

The survey data reveals that flood risks are high throughout most of Tanzania and confirm that firms face
substantial recurring losses.

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: restricted to workers with completed secondary education. Among workers with completed secondary, 30 percent of refugees and 50 percent of hosts are in high-skill occupations (Figure 3.25). Among only women, these numbers are 20 percent and 50 percent, respectively. Instead, refugee men and women in Addis Ababa are over- represented in crafts and related trades (typically classified as medium-skill occupations). 0 20 40 60 80 100 Addis Hosts Addis Refugees Current Addis Refugees COB Salary (employment/casual labor) Crops/livestock Donations(NGO/gov) Remittances (local/international) Other (rental income, PSNP, pension) Percent 0 20 40 60 80 100 Percent Addis Male-Headed Addis Female-Headed Figure 3.21: Household primary income source Source: World Bank Staff based on SESRE 2023. Note: “COB” refers to livelihood strategies in their country of birth. a. Pre-post migration b. By gender of head Table 3.2: Labor force statistics Addis Hosts Addis Hosts Labor force participation rate (strict) 66% 46% Unemployment rate (strict) 12% 63% Labor force participation rate (relaxed) 72% 67% Unemployment (relaxed) 19% 75% Employment-to-population ratio 58% 17% 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

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: FE remove the effect of individual-specific time-invariant characteristics so as the net effect of the predictor variable on outcome variables can be assessed, per the following equation: 𝑌 ௜ ௧ ൌ 𝛼 + 𝜇 ௡ + 𝛽𝑇௧ + 𝛾𝐷 ௜ + 𝛿ሺ𝑇 ∗ 𝐷ሻ ௜ ௧ + 𝜃ଶ𝐸ଶ ൅.. ൅ 𝜃 ௡ 𝐸 ௡ ൅ 𝜀 ௜ ௧ (3) where 𝐸 ௡ is entity n (i. e. the individual volunteer). Since they are binary (dummies), there are n-1 included in the model (i. e. 758 individual volunteers). 𝜃ଶ is the coefficient for the binary regressors (the 758 volunteers). Additionally, we propose dealing with attrition in two ways. First, we utilize the standard “ Manski Bounds ” approach (Horowitz and Manski, 2000) by imputing upper and lower bound estimates for missing data on estimated outcomes of interest at follow-up, where lower bound estimates take the lowest possible value and upper bound estimates take the highest possible value for individuals who could not be tracked over time. This allows us to provide the two extreme possible scenarios for estimated impacts had data been successfully collected for attritors. Second, we use the Inverse Probability Weighting (IPW) procedure to establish narrower bounds that might provide a better sense of whether there is a robust treatment effect. This entails first estimating a probit model that predicts the probability of data being observed (i. e. not attrition) using a set of covariates at

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: Due to the variations in weight and height ratios among children and adolescents according to gender and age, the benchmarks for determining nutritional status are specifically tailored to these factors. We adhere to WHO guidelines to calculate the standardized BMI values for minors. A BMI exceeding one standard deviation (SD) from the mean suggests overweight, while a BMI less than minus one SD indicates underweight. 16 Health status is assessed through a binary variable, assigned a value of one if the caregiver has reported any health issues such as disease or chronic pain, accidents, dental pain, surgical interventions, or preg- 14For the Colombian households the wealth index is measured with contemporaneous data. 15This procedure restricts the sample to the common support of the propensity score for being a forced migrant and weights observations for Colombian kids by a non-parametric function of the propensity score. This procedure has been shown to increase the estimate ’ s efficiency. 16Furthermore, a BMI greater than 2SD is indicative of obesity risk, and less than- 2SD signals a risk of severe thinness. 33

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:
Data on the structural and cyclical characteristics of national economies comes from the World Bank's World Development Indicator Database [9] and UNCTAD-STAT; [10] the figures on education are sourced from Barro & Lee (2013); [11] those on the real effective exchange rate (REER) are taken from Darvas (2012); [12] and metal- and oil-price figures are sourced from the IMF's Primary Commodity Prices database. [13] Referring to the original datasets will provide further details on the methodology and sources used.

We need first to describe inequality and poverty levels in the affected region. We define the poor as the individuals in the bottom quintile in terms of consumption or income. Therefore, the parameter �� is equal to 20%. To estimate �� and ��, we use the World Development Indicators database, which provides the income share of the bottom 20%. Figure 3 shows the result, highlighting the large variability - and lack of correlation - between inequality and national income level.

In this national-level analysis, and consistent with our focus on the socioeconomic drivers of resilience, we use a very simple methodology. We use the Global Building Inventory database from PAGER, by USGS, which provides a distribution of building types (buildings only, not contents) within countries across the world (USGS 2015). This typology has been developed to assess vulnerability to earthquakes but here we use it for all hazards.

UNCTAD-STAT
Primary Commodity Prices database
World Development Indicators database

Global Building Inventory database from PAGER

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: III THE VENREPS-KIDS STUDY In this section, we offer a detailed overview of the VenRePs-kids Study, covering its de- sign, implementation, the questionnaire utilized, and the primary outcomes that will be employed to evaluate the human development disparities between forcibly displaced children and adolescents and their peers in host communities. III. A Design Location. Our study is conducted in Medell ´ ın, Colombia ’ s second-largest city, following Bogot ´ a. Medell ´ ın was chosen for this study because it hosts the third-largest Venezue- lan migrant population in the country, trailing only Bogot ´ a and C ´ ucuta, as indicated by the 2018 population census data. Additionally, previous research has demonstrated that survey response rates among migrants in Medell ´ ın are notably high. For instance, a na- tionally representative survey of Venezuelan migrants conducted in 2018 — which was representative across Colombia — revealed that Medell ´ ın had the highest response rates among migrants, whereas Bogot ´ a recorded the lowest (Ib ´ a ˜ nez et al. 2022). This finding supports the decision to focus our study exclusively on Medell ´ ın, also considering the challenges and high costs associated with tracking a highly mobile population longitu- dinally in previous research efforts.

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 top 5 protection incidents reported in the region are homicide (30 per cent), assault and battery (29 percent),
extortion of property (16 per cent), destruction of properties (13 per cent), and looting (12 per cent). Also, those
protection incidents affected 99.88 percent of Internally displaced persons (IDPs), 0.11 percent of refugees, and 0.01
per cent of asylum-seekers. The protection incidents affected more males (53 per cent) than females (47 per cent),
and the protection incidents affected the age group (0 to 17), children, who represent 44 percent of all victims
reported in September 2022. In addition, the perpetrators of those protection incidents are armed groups (46 per
cent), host communities (26 per cent), others (23 per cent), and unknown (5 per cent). It is worth mentioning that 1.3
percent of the regional population, compared to September 2022 regional data, was affected by the protection
incidents reported in September 2022.

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 consumption or expenditure is measured in per-capita terms and has implications for other indicators of well-being such as housing, rents, or crowding. The Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS) and Living Standards Measurement Surveys (LSMS) are the most common household surveys used to produce comparative statistics on well-being across time and countries. The DHS and MICSs define household members as (i) usual residents or people who slept in the dwelling the previous night and who (ii) share living arrangements and (iii) share food (ICF International, 2012; UNICEF, 2013). The LSMSs define household members as (i) people who slept in the dwelling three or more months of the last 12 months and (ii) share food (Grosh and Munoz, 1996). 7 While the definitions differ, they are defined on similar concepts and are unlikely to lead to major differences in key household characteristics. The UNHCR has definitions for household that resemble the definitions used by MICSs and LSMSs but uses the concept of “ case ” as unit of observation. The UNHCR defines a case as: “ A processing unit similar to a family headed by a Principal Applicant. Usage context: primary mention, background 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: 8 agreements that did not fully satisfied either party (Ndayirukiye and Takeuchi 2014). This tension related to land, and who has a claim to the land, can lead to social tensions in communities with higher levels of return. Figure 3 – Refugees in Tanzania in 2005 by province of origin in Burundi Note: The number in brackets is the number of refugees in Tanzania in 2005 which was originally from the given province in Burundi. This information comes from (UNHCR 2021b). The number in parenthesis is that number as a percentage share of the population of the provinces as estimated in 1990 Burundi Census. An important question for our hypotheses is the degree to which there is evidence of migration-related societal divisions in the country. There is no direct quantitative evidence on identity issues (i. e. returnees versus stayees), but we have data on attitudes towards emigration, remittances and return that can provide insights on these identities and even be a proxy for migration-related identity in some cases. Overall, attitudes towards emigration and return are mixed and show that there is scope for the existence of migration-related divisions. In Table 1 we report the share of respondents who agreed with different statements regarding emigration, remittances and return. Usage context: background mention, supporting mention, primary mention.

data on attitudes towards emigration, remittances and return

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:
`o` They also pushed for career rotation and continuous support for **education** as a foundation for
society. While both groups shared a commitment to youth empowerment, the female group
leaned more toward social and psychological well-being, whereas the male group prioritized
leadership, structure, and legal safeguards.

## **HEALTH AND DISABILITY**

**Health and disability**

A small percentage (7%) identify as having a disability [2] according to the
Washington Group classification. Within youth with disabilities, **males**

**constitute the majority** (72%) compared to females (28%).
Disproportionate impact of disability on young men should be the driver
of additional data collection to develop specific programs to address
their needs and exposure to risks.

**Person with disabilities by**

**gender**

**Male**

**72%**

 The majority of young people in northwest Syria, (84%), do not
face any health problems conditions. However, a significant 16%
reported facing health issues, with varying levels of access to
health services and medication.
 Regarding access to health services, the results indicate that only 47% of those with health problems,
conditions or disabilities have access to health services, while 53% do not.
 56% of youth with health problems, conditions or disabilities **do not have access to adequate medication** .

---
[2] https://www.washingtongroup-disability.com/question-sets/

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: month placement and support phase in which the trainees were supported in their transition to self or wage employment. Upon recruitment, the participants are assigned to a"Job Skills (JS)"track or a"Business Development Services (BDS)"track. When possible, the participant's track preference was honored; however, the demand for the Job Skills track greatly exceeded the supply, so the remaining trainees were placed into the BDS track. In the first round of training, the proportion of Job Skills track places was limited to 35 % of the total training places available given the expectation that few wage jobs will be available in the Liberian job market. The Job Skills track provided training in six areas: 1) hospitality, 2) professional cleaning / waste management, 3) office / computer skills, 4) professional house / office painting, 5) security guard services, and 6) professional driving. These areas were determined based on independent labor market assessments, a review of the available market data, and input from EPAG ’ s private sector partners. All Job Skills trainees received training in entrepreneurship skills as well. The BDS training taught young women how to identify micro-enterprise opportunities based on an assessment of market needs, and how to grow and manage any existing businesses they already had. 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: Second, there are cases where the current study reports data by nationality, but the corresponding figure in the Trends in International Migrant Stock refers to the foreign born. This situation generally arises when a census does not report the number of foreign-born migrants on a bilateral basis. Examples include Austria and Côte d ‘ Ivoire. Third, differences in the years to which the data refer can generate large disparities. For example, this study uses the 1966 data for Australia, whereas Trends in International Migrant Stock reports data for 1970. Overall, however, the fact that the totals are remarkably close in every decade adds credence to the estimates here. IV. THE EVOLUTION OF GLOBAL BILATERAL MIGRATION The greatest strengths of the global migration matrices are their bilateral coverage, the number of decades covered, and the disaggregation by gender. These data are too rich for a full analysis of all movements between all pairs of countries. Instead, this section summarizes the major trends in the evolution of bilateral migrant stocks, based primarily on World Bank regions. 25 Global Trends The migration matrix for the 1960 census round reflects a realigning world in the postcolonial era. Over the 1960-2000 period, the composition of world migration 25 Appendix 1 details the World Bank regions: South Asia, East Asia and Pacific, Sub-Saharan Africa, Latin America and the Caribbean, Europe and Central Asia, and Middle East and North Africa. High-income Middle East and North Africa refers to the predominantly oil producing countries in the Persian Gulf (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) and to Israel. 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: 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. 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:
### 7.2 Monitoring and Evaluation Framework

The M&E framework distinguishes between process indicators, tracked through the MIS on a monthly basis, and outcome indicators, measured through periodic surveys. Process indicators cover outputs such as number of beneficiaries registered, cash transfers disbursed, and community infrastructure works completed. Outcome indicators are measured at baseline, midterm, and endline using a structured household survey instrument administered to a representative sample drawn from the beneficiary and comparison populations.

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 observations of positive events contain more information than the non-event observations We therefore sample asymmetrically: We sample all of the transition events and 1. 0 % of the non-transition events. 3. 4 Disaggregated Independent Variables Local level data on land, population, and elevation is available in the geospatial format of raster files with a resolution of 1km. Using Geographic Information systems (GIS), attributes from raster and point data are associated with the grid square in which they lie. In this way, spatial data is georeferenced to a location that is defined by the grid cell. This process results in a data structure in which each row has within it combined information on a square defined by the grid, the national level information in which is it located, and () () () ⎟ ⎠ ⎞ ⎜ ⎝ ⎛ ∑ ∑ ⎟ ⎠ ⎞ ⎜ ⎝ ⎛ ∑ = = ∉ = t X t X t d d j j p j R i d j j p j w w t β β 1 1 exp exp at out breaks war a | square a in war Pr 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: Using the NLSS data we begin by estimating a regression of the form: yk s = δs + α (ak s − a) + βs (Ek s − Es) + χs (Hk s − Hs) + vk s (4) where yk s is the log of income (or consumption) of household k residing in district s, coeﬃcients δs, βs and χs vary by district, ak s stands for the age and age squared of the household head, Ek s is the education level of the head measured in years of completed education, and Hk s = 1 if the head belongs to what we have earlier classiﬁed as a high caste (i. e., Brahmin, Chhetri or Newar). Since income or consumption are expressed in logs, βs and χs can be thought of as education and high caste premia, respectively. Female headed households are excluded from the regression since the focus is on migrant males. Vector a denotes the average age and age squared of observations across the sample. Variables E and Hs denote the district-speciﬁc averages of Ek s and Hk s. By demeaning regressors, we ensure that eδs measures the unconditional, district- speciﬁc average of yk s. Marital status, household size, and other household characteristics are 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: 4 Internal Conﬂicts and Refugees A particularly serious aspect of internal conﬂicts is the human suﬀering they generate. This is not only those who are killed or injured in conﬂict but the large number of people who are forced to leave their homes. The issue of refugees has received particular attention in Western media in recent years as refugee ﬂows from Northern Africa, the Middle East and Afghanistan are increasingly reaching Europe. These refugee streams are linked to a severe humanitarian crisis with considerable funding needs for international donors and heavy strains on host countries. 21 The current refugee crisis, however, is in no way unique. Civil war has always been closely linked to humanitarian crisis and refugee streams are one way to capture this. In this section we provide a cross-country analysis aimed at investigating how the stock of refugees evolves when a civil conﬂict hits a country. In the analysis we will focus entirely on showing changes in the stock of refugees across time to illustrate the dimensions involved. We will base our later analysis on these population movements. We exploit country-level data gathered from several sources. Data about refugees is provided by the UNHCR Population Statistics Database. The database provides in- formation about UNHCR ’ s populations of concern from the year 1951 up to 2014. 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: representative sample of undocumented migrants in Colombia ’ s major cities as of 2020. 10 This survey encompasses information on the socioeconomic status, health, well-being, access to services, and labor market outcomes of adult undocumented migrants. Second, we compare our sample with the Administrative Venezuelan Migrant Registry (RAMV), a nationwide census of undocumented Venezuelan migrants conducted by the Colom- bian government in 2018. 11 This census surveyed Venezuelan households regarding their socioeconomic conditions and the labor market characteristics of the household head. We compare the household characteristics and the labor market outcomes of the house- hold heads in our sample with those in VenRePS and RAMV surveys in Table A. 3. 12 We observe that households in the VenRePS-Kids survey are smaller on average and have a greater number of children living in the household. The latter is anticipated since one of the eligibility criteria to participate in our survey is the presence of at least one child in the household. Furthermore, the household heads in our sample are disproportionately female and more likely to be married, aligning with the family structure targeted in our sampling frame. Regarding labor outcomes, household heads in our sample are more likely to be employed and engaged in the informal sector compared to those surveyed in VenRePS and the RAMV census. Usage context: supporting mention, background mention, primary mention.

Administrative Venezuelan Migrant Registry

Administrative Venezuelan Migrant Registry (RAMV)

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: Bank branches in El Fasher have limited capital for small businesses as their headquarters in Khartoum regard the area as too great a risk and IDPs themselves as riskier investments than their host community peers (UN- HABITAT 2009: p. 8). Exposure to unclean cooking fuels and inadequate housing can lead to poor health outcomes, while lack of access to electricity and a bank account further excludes individuals from labor market integration and livelihood opportunities that would empower forcibly displaced persons to overcome their multiple, overlapping deprivations. Clearly, displacement status puts individuals at a greater risk of poverty than their host community neighbors, and we can unpack those risks in greater detail using the MPI. Results can also be broken down to show the percentage contribution of each indicator to multidimensional poverty (see Figure 2). Among refugees in Ethiopia, lack of a bank account is the largest contributor to poverty, while among host communities, the largest contributor is years of schooling. 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: One of the main contributions of this paper is the use of panel data which allows us to examine the effect of the pandemic on labor market transitions — job loss and job gain rates — in addition to the effect on labor market stocks. Studying both stocks and flows provides a comprehensive framework to analyze the impact of the pandemic on labor markets and allows for a better understanding of the underlying mechanisms 30

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: 21 Lebanon. It was the obvious step forward in overcoming these problems and the answer to the increasing demand for evidence around the Syrian crisis. The study benefitted from a unique and unprecedented set of data. The UNHCR registry data in Jordan and Lebanon were among the better quality registry data available worldwide and the UNHCR also conducted home visits in Jordan that, at the time of the study, covered over a third of all refugees. There were also sample surveys in both Jordan and Lebanon that were small in size but representative of the population present in the registry. The home visits and the surveys included questions on income and expenditure that could be used for the welfare assessment. Using these data, the study addressed ten questions defined as follows: 1) Who are the refugees?; 2) How different are refugees from “ regular ” populations?; 3) How poor are refugees?; 4) What are the main predictors of refugees ’ welfare and poverty?; 5) How vulnerable are refugees from a monetary and non ‐ monetary perspective?; 6) Do poverty and vulnerability statuses overlap?; 7) How effective are refugee assistance programs?; 8) What is the potential for alternative policies?; 9) How does welfare compare across countries and data sets?; 10) How transferable are 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: We measure livelihood diversification using two main variables: the degree of diversification of activities as a primary occupation and the degree of diversification of activities as a secondary occupation. 3 The degree of agricultural commercialization is also measured using two variables: the value from the sale of crop and livestock products. We measure refugee inflow (presence) as the number of refugees (population) in the nearest refugee camp to the household location weighted by the household's inverted distance to the camp. The impact of refugee inflow on household livelihood strategies can be causal if there are no confounding factors that affect livelihoods in host communities when refugee inflow changes. This is unlikely as refugee flow and the location of refugee camps are not random (see e. g., Baez 2011). Refugee camps are often situated close to international borders, among others, to allow for easy repatriation of the refugees when stability is restored in their countries of origin. In addition, refugees often seek shelter in the nearest refugee camp once they arrive in the host country, which is arguably true in most hosting countries as refugees often travel on foot for 2 According to UNHCR, a protracted refugee situation is a situation in which at least 25, 000 refugees from the same nationality have been in exile for at least five years in a given host country. 3 Diversification of activities is calculated using the inverse Simpson diversity index. In constructing the index, we considered both agricultural and non-agricultural livelihood activities. Usage context: primary mention, background 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: 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: / / econ. worldbank. org. The author may be contacted at asacks @ worldbank. org. and managing these resources. The author assesses these competing hypotheses using multi-level analyses of Afrobarometer survey data. The sample, drawn from a continuum of developing societies in Africa, allows for analysis of associations between donor and non-state actor service provision and the sense of obligation to comply with the tax authorities, the police and courts. The findings yield support for the hypothesis that the provision of services by donors and non-state actors is strengthening, rather than undermining, the relationship between citizens and the state.

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: 40 60 80 100 Hosts Refugees Hosts Refugees Hosts Refugees In camp Addis Ababa Total Electricity (meter) Electricity (meter, generator, solar) Percent Figure 2.24: Source of lighting Source: World Bank Staff based on SESRE 2023. 0 20 40 60 80 100 Hosts Refugees Hosts Refugees Hosts Refugees In camp Addis Ababa Total Improved source of drinking water Improved bathing facilities Percent Figure 2.22: Access to drinking water and hygiene Source: World Bank Staff based on SESRE 2023. 37 Improved toilet facility includes toilets flush to septic tank/pit latrine/piped sewer system, pit latrine with slab, or composting toilet. 38 Improved waste disposal refers waste not thrown to field or yard, into river and burnt. 24 T his chapter presents findings on labor market outcomes and livelihood choices of refugees and hosts. It discusses how sociodemographic characteristics such as age, gender, education level, and location of residence relate with labor market outcomes. Ethiopia has experienced steady economic growth for much of the last two decades, but even before the country’s concurrent crises, economic growth did not transform the labor market structure. Between 2004 and 2020, Ethiopia’s GDP annual growth averaged 10 percent, helping to reduce the poverty by about ten percentage points.

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 surveys funded under the previous project cycle provided panel data tracking changes in household income, agricultural production, and child schooling from 2017 to 2021. The annual surveys were administered by the same field firm across all rounds, ensuring consistent interviewer training and questionnaire interpretation. The final annual survey in 2021 achieved a response rate of 96 percent, with non-response concentrated among households that had migrated seasonally for employment, which may slightly understate income recovery among the most economically mobile households.

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: 21 Lebanon. It was the obvious step forward in overcoming these problems and the answer to the increasing demand for evidence around the Syrian crisis. The study benefitted from a unique and unprecedented set of data. The UNHCR registry data in Jordan and Lebanon were among the better quality registry data available worldwide and the UNHCR also conducted home visits in Jordan that, at the time of the study, covered over a third of all refugees. There were also sample surveys in both Jordan and Lebanon that were small in size but representative of the population present in the registry. The home visits and the surveys included questions on income and expenditure that could be used for the welfare assessment. Using these data, the study addressed ten questions defined as follows: 1) Who are the refugees?; 2) How different are refugees from “ regular ” populations?; 3) How poor are refugees?; 4) What are the main predictors of refugees ’ welfare and poverty?; 5) How vulnerable are refugees from a monetary and non ‐ monetary perspective?; 6) Do poverty and vulnerability statuses overlap?; 7) How effective are refugee assistance programs?; 8) What is the potential for alternative policies?; 9) How does welfare compare across countries and data sets?; 10) How transferable are

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: 26 education Turkish to a subregion. In sum, there is some evidence that the inflow of Syrian refugees results in a decrease in the number of Turkish living in a subregion. The evidence, however, is weak and the impact unlikely to be very large. 5. PLACEBO TESTS AND ROBUSTNESS CHECKS 5. 1 Placebo Tests The key threat to the validity of our instrument is that there are subregion specific economic trends that are correlated with the instrument, and not fully controlled for by the inclusion of the log distance of a Turkish subregion from the Syrian border. A priori this seems unlikely since the instrument is also based on travel distances, but we can test for the existence of such trends in a pre-period. Specifically, we run regressions that are analogous to those reported in Tables 5, 6 and 7 using data from the LFS 2009 and 2011. As a placebo test we pretend that the Syrian refugees had arrived between 2009 and 2011, rather than between 2011 and 2014, to see if the instrument is correlated with Turkish outcomes in this pre-period. Table 10a presents the results of our placebo tests. For the overall sample there is no statistically significant trend that is correlated with subsequent (instrumented) refugee flows in formal or informal employment, or in log wages. 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:
For rainfall data, I use a historical daily grid of rainfall, which is interpolated based on readings

that suddenly drop to zero purchasers is suspicious, especially since the BASIX data does not contain

error I run simulations where I assume that the BASIX data has been matched completely correctly,

I start by examining whether there is actual autocorrelation in the rainfall data. To test for

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: location in the past, interacted with the year of observation. This is a semi-parametric ver- sion of the traditional migrant network instrument as recommended by Goldsmith-Pinkham et al. (2020) and it allows the strength of the network eﬀect to potentially vary in each year. An overidentiﬁcation test can be used to examine whether the instrument has a consistent relationship over time. We ﬁnd robust evidence that increased immigration from Venezuela has a positive impact on labor market outcomes for Peruvians, with increased employment rates, incomes and expenditure in locations that receive more Venezuelans. Additionally, locations that receive more immigrants have lower levels of reported non-violent crime, improved reported quality of local services, greater reported trust in neighbors and higher reported community quality. On the other hand, we ﬁnd evidence that in locations with more Venezuelans, Peruvians report that their community likes diversity less. There are a number of potential explanations for these ﬁndings that we plan to explore in future work. 1 The arrival of Venezuelans may have expanded the economic opportunities for Peruvian because of their higher levels of potential productivity, due to higher human capital, and their concentration in low wage jobs. 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: tionnaire from Falk et al. (2022), along with a question on how much do the subjects in our sample trust the Colombian government. Additionally, we inquired about the ado- lescents ’ social networks by asking about their number of friends of each nationality and whether they have felt discriminated in school. While these outcomes were not the pri- mary focus of the VenReps Kids survey, they collectively provide a general assessment of social cohesion, a crucial aspect in understanding the overall well-being of children and adolescents. We measure the average differences in altruism between Venezuelan and Colombian ado- lescents following the estimation of equation 1. Table 8 presents the results for altruism, trust, discrimination and social ties in panels A, B and C respectively. As in the previous tables, the first column for each outcome reports the results of the estimates of equation 1 without controls, and the second and third columns report the results of the estimation with all controls and the propensity score matching respectively. As for altruism, we see that Venezuelan adolescents are on average willing to donate 17 % more of their imagi- nary money endowment to a good cause relative to Colombian adolescents. As for trust, the results are mixed when analyzing the trust items separately.

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: They contain a rich source of information on various attributes of datasets, including the country and dates of data collection, sampling strategy, survey modules, and other related aspects. While submission of datasets to the libraries is voluntary and thus does not guarantee an exhaustive list of all publicly available existing datasets on FDP, they are considered to be among the largest databases of microdata concerning development and forced displacement (Thompson 2010; EGRISS 2023). For the purpose of this study, microdata are defined as primary data collected from household surveys. Our focus lies in identifying micro-level datasets that are publicly available and designed to have a representative sample6 of FDP so that collected data can be disaggregated for refugees and / or IDPs specifically. By studying the geographical and thematic coverage of existing FDP microdata, we seek to also shed light on critical data gaps that remain to be filled with further data collection efforts. The paper identifies critical gaps in geographical and thematic coverage as well as compliance with international recommendations for proper identification of displacement status. The paper highlights that microdata is comparatively rich in Sub-Saharan Africa in contrast to other regions. However, data scarcity is notably pronounced in countries facing fragility and conflict and also among IDPs. There are also certain topics that are relatively lacking in the FDP microdata. Usage context: primary mention, background 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: 16 Investors actively trade-off disaster risk with gains from economic density. In addition to the city or location specific analysis, we examine how investors value risk from natural disasters. Data from a recently compiled dataset of a sample of global cities provides some insights. Gomez-Ibañez and Ruiz Nuñez (2006) constructed a dataset of central business district office rents for 155 cities around the world in 2005 to identify cities where rents seem elevated or depressed by poor land use or infrastructure policies. Their dataset also includes information on many factors that determine the supply and demand for central office space such as construction wage rates, steel and cement prices, geographic constraints, metropolitan populations and incomes. We link this information to the natural disasters hotspot dataset (Dilley et al. 2005), and examine if city demand – as reflected in office rents, is sensitive to risk from natural disasters. Gomez-Ibañez and Ruiz Nuñez (2006) focus on offices in the primary business district, which they define as the district having the highest density of employment; a very large, if not the largest, concentration of offices; and the highest rents in the metropolitan area. As we are interested in the tradeoff between economic density and disaster risk, using the central business district works well for our analysis.

dataset of central business district office rents for 155 cities around the world

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 LFS reports employment status for individuals aged 15 to 64. The LFS does not cover institutionalized populations, individuals in collective living arrangements (dormitories, military barracks), or the de facto homeless population. These exclusions are standard for household-based labor force surveys and are unlikely to materially affect our estimates, since the excluded populations represent a small fraction of the working-age total and their labor market outcomes are not correlated with the shocks we study.

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: 18 the local data on physical geography and population from the raster data. These data can then be imported into statistical programs for analysis. We aggregate all data up to a grid of 8. 6x8. 6km squares. Each grid square is assigned attributes of the country it is in along with information from data disaggregated to the level of the individual squares. Figure 3 illustrates this grid as a fictive country somewhat smaller than the average size in our dataset (50x50 squares, or 430x430 km) with a fairly representative but stylized population distribution. The country has three major cities, one of which is the capital, and two smaller ones. A rebel group has its headquarters at the Eastern border. The ACLED data for the Central African conflicts were aggregated up to the 8. 6x8. 6km squares and merged with information on other explanatory variables aggregated to the same level.

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:
 Despite the challenges, the survey also reveals a positive trend of **youth engagement in their communities**
(20%), however, 17% are not accessing any form of work-related activity, situation that can also lead to
risks of recruitment or engagement in illegal activities (including smuggling), as well as drug abuse.

The results also show that a significant majority of young people, (82%), **do not believe that newly graduated**

**youth have the same working opportunities** as those who have already graduated or have previous work
experience. Lack of job opportunities represent the biggest barriers for recently graduated youth, most likely, in
the case of NWS, humanitarian organizations constitute the biggest employment alternative, however, lack of
experience can also represent a barrier for youth to access.

FDGs showed that:

 **Young women are especially vulnerable to sexual exploitation, harassment, and early or forced**

**marriages**, leading to social exclusion and lack of support, particularly for divorced women. Femaleheaded households and displaced individuals also face discrimination.

 The male group highlighted that **corruption, regionalism, and favoritism in employment** and resource
distribution exacerbate discrimination, with young people often being excluded from opportunities. They
also noted that the continuation of armed conflict increases vulnerability to exclusion.

**10**

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:
**Return intention survey**

**Shalozan Tangi, Kurrum agency**

**June 2014**

**I.** **Background**

Kurrum Agency is the only tribal region in the country’s semi-autonomous seven tribal
territories which has a large number of Shiites - the rest of the six tribal agencies are
overwhelmingly inhabited by Sunni Muslims. According to official figures, its total
population is 500,000, with 58 percent Sunni and 42 percent Shiite. The majority of the
Shiites live in the upper part of the Kurrum Agency, while Sunnis inhabit lower and central
Kurrum. The population of Kurrum valley consists of a number of tribes, namely Turi,
Bangash, Parachamkani, Massozai, Alisherzai, Zaimusht, Mangal, Kharotai, Ghalgi and
Hazara. There was also a sizeable Sikh population but most of them have left the valley.
Sectarian violence is not a new phenomenon in Kurrum Agency where well over 4000
people have been killed in clashes between the Sunni and Shia tribes since the decade of
1980s. Kurrum Agency is divided into three tehsils: upper Kurrum, lower Kurrum and central
Kurrum.

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 1 provides descriptive statistics for the years 2011 and 2014. 18 Labor force participation is very low in Turkey, around 54 percent of the working-age population in 2011, though it has been rising. The reason is that female labor force participation is particularly low at about one-third. The majority of employment is private sector, around one-third of the working-age population, compared to 6 percent employed in the public sector. There are a large number of unpaid workers (7 percent) and unemployment is at 5 percent of the working-age population, an unemployment rate of about 10 percent. School attendance has been rising over the period, from 12 to 16 percent of the working-age population, and the fraction retired has been steady at about 5 percent. Correspondingly, educational attainment has been rising though still 13 percent of the working-age population has no formal education, 57 percent at least completed primary education but not high school, and high school completion has risen from 30 to 34 percent. 17 Of those who have an irregular workplace 60 percent are agricultural workers, 14 percent work in construction, 7 percent in transportation and 5 percent in retail and in manufacturing each, and 3 percent as household employees. 18 Note that in 2014 new regulations for the Household LFS were carried out within the framework of European Union criteria. Consequently, statistics are not necessarily entirely comparable across years. Since we do not use aggregate time-series variation for identification this does not affect our empirical strategy, see Section 3. For those interested, the Turkish Statistical Institute provides consistent time-series on their website. Usage context: primary mention, background 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 degree to which the global response should include a development element. We ﬁnd that the average stood at around 10. 3 years at the end of 2015, with a median duration of 4 years, and signiﬁcant sensitivity to a few situations. Such numbers re-emphasize the importance of effective humanitarian interventions on the right scale. They suggest that development actors have a role to play but that they need to focus their interventions on a set of discrete protracted situations. To produce these numbers, we rely on the Population Statistics Database compiled and main- tained by UNHCR. The database records the number of “ persons of interest ” to UNHCR in each year since 1951 and for each situation, where a situation consists of a pair host-origin countries. The calculation of duration of exile is obtained under a no-turnover assumption, whereby a de- crease in the number of refugees for any given situation is fully attributed to exits from refugee status, while increases are assumed to be fully accounted for by new cases. Although such ap- proach tends to over-estimate the true duration of exile, the lack of individual-level data on regis- tration precludes reﬁning the estimate further. Attempts to estimate similar statistics have been limited. 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:
Furthermore, the Ministry of Education continues to collect data on refugee and asylum-seekers students for the
education management information system. The same applies with the Ministry of Health; data on refugee and
asylum-seekers are included in the national health information system. The government is working on releasing
breakdowns of pupils by legal status (nationals and refugees). Additionally, the Government continues to work
to include refugees in the national civil registry database. However, the technical and financial prerequisites
for this are not yet in place. Furthermore, UNHCR has long been advocating for refugees and asylum-seekers
to be included in the future national population and household census, and there is now apparent agreement
from the government on this principle.

national population and household census

education management information system
national health information system
national civil registry database

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: If many people migrate to a speciﬁc location, such as the capital city, this is likely to aﬀect wages, incomes, and access to amenities in that location. 7 This would generate a potential endogeneity bias due to the fact that incomes and amenities in that location result in part from the decision of many migrants to locate there. To eliminate this bias, we use past data to estimate the income regression. More precisely, let T be the period for which we have income information and T + t the period at which we 5The dropped observation corresponds to the location of origin M h ii which, as explained earlier, we do not include in the analysis since including M h ii would mean de facto including the decision of whether to migrate or not. 6McFadden (1974) has shown that, in multiple choice problems of the kind studied here, the application of logit estimation is justiﬁed if (1) the errors in each latent choice equation follow the extreme value distribution and (2) errors are independent across choices. See Train (2003), Chapter 3 for a detailed discussion. The estimation of models with correlated errors across choices requires either multiple integration or the use of Bayesian estimation techniques relying on Gibbs sampling. With a choice of over 70 possible destinations, multiple integration is out of the question. Gibbs sampling remains a possibility but would require extensive programming. We choose instead to keep the logit approach but to correct the standard errors for possible correlation in errors across choices. In our case the possible eﬃciency gain achieved by Bayesian methods does not appear to justify the programming cost. 7The eﬀect could be negative — e. g., congestion — or positive — e. g., agglomeration externalities. 10 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:
The data for this paper come from the European Social Survey (ESS) for the survey years 2002,

observations per country/year. The ESS covers 36 countries, 24 of which are included in our

Card et al (2012) investigates the drivers of attitudes towards immigrants in Europe using,

among others, the following variables of the ESS:

European Social Survey (ESS)
ESS
European Social 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: An alternative version of the database that has been mapped to the United Nations (2006, 2009) Trends in International Migrant Stock database is available from the authors. These data are standardized over time in terms of the years to which they refer. { Table 3 here} Calculating Missing Gender Splits Although common in the underlying data, bilateral migration data disaggregated by gender are sparser than aggregate migrant totals (see table 1). An important contribution of the current work is in estimating the gender breakdown of all migrants in destination countries in the global migration matrices. Similar to the allocation from aggregated categories in the Global Migration Database to specific origins in the master list, two measures are used for calculating gender splits; they are described in appendix 5. Combining Migrant Definitions Only a single definition of a migrant (foreign born or foreign citizen) can be applied to each destination country in the final matrices. Switching definitions over time 17 The subregions used for the disaggregations are the 21 UN regions (see http: / / unstats. un. org / unsd / methods / m49 / m49regin. htm, with the countries of Oceania aggregated into a single subregion. They do not match the large World Bank regions used in the analysis in section IV. 18 While this propensity measure is clearly inappropriate, less than 1 percent of all migrants and observations are assigned on this basis. This method is included so that every migrant in the underlying data is accounted for. Usage context: primary mention, background mention, supporting mention.

Trends in International Migrant Stock
Global Migration Database

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: These findings were also echoed in the context of other developing countries such as India (Allard et al., 2022) and Zimbabwe (Mabugu, Maisonnave, Henseler, Chitiga-Mabugu, & Makochekanwa, 2023). In the MENA economies ’ context, the evidence is considerably sparcer. Early work on the impact of the COVID-19 pandemic on labor markets in the MENA region re- lied on high-frequency phone surveys and highlight important job losses among wage workers and an uneven impact across industries (Krafft, Assaad, & Marouani, 2021, 2022). Providing evidence from Labor Force Surveys in the Islamic Republic of Iran, Dang and Salehi-Isfahani (2023) find that the pandemic exacerbated the pre-existing low participation of females in the labor force. Wahby and Assaad (2023), on the other hand, focus on the impact of the pandemic on Syrian refugees in Jordan and find a divergence in job finding and separation rates of Syrian refugees relative to their Jorda- nian hosts after the onset of the pandemic. Focusing on cross-border commuters in the West Bank and Gaza, Adnan and Etkes (2022) find that undocumented commuters benefited relative to their documented peers after the pandemic, as Israeli policies inadvertently created incentives for employers to favor the former. This sharply con- trasts the results by Borjas and Cassidy (2020) on the impact of the pandemic on immigrants in the United States. The rest of this paper is organized as follows. Section 2 provides background information on labor markets in the West Bank and Gaza, as well as background in- formation on the COVID-19 pandemic and government responses. Section 3 describes the data. Section 4 discusses our methodology. Section 5 presents the main regression results and investigates heterogeneous effects. Section 6 provides robustness checks. Finally, we provide concluding remarks in Section 7. 4 Usage context: primary mention, supporting mention, background mention.

Labor Force Surveys
high-frequency phone surveys

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: Typically, registers have evolved over time (from parish records, for example). They were never developed specifically to record international migration information, and they vary considerably across countries. For example, the laws under which individuals are classified as migrants and the conditions under which they are inscribed or deregistered differ greatly (Bilsborrow and others 1997). The Raw Data The Global Migration Database is a vast collection of destination country data sources detailing migrant stocks from numerous origin countries and regions (United Nations [2008]). Compiling and maintaining the underlying primary sources require herculean efforts to scour the key census collections of the world and enter the data manually. In total, the database comprises records from some 3, 500 separate censuses from more than 230 migrant destination countries and territories, by sex and age.

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: such as education and caste. We also construct measures of social proximity between a migrant ’ s place of birth and each possible destination, using detailed available data on ethnicity, caste, language, and religion. We also investigate a number of factors that may inﬂuence the choice of migration destination but have not received much attention in the existing literature. Fafchamps and Shilpi (2009) have shown that the subjective welfare cost of geographical isolation is high. To investigate this issue, we include regressors controlling for population density and for the average distance to various amenities. Fafchamps and Shilpi (2008) have further shown that migrants are concerned with their welfare relative to that of their birth district as well as to that in their destination location. We examine whether relative welfare considerations inﬂuence the choice of migration destination. Additional controls include distance and prices. The empirical analysis is conducted using LSMS survey data as well as the 2001 population Census data from Nepal. The diverse terrain of Nepal along with geographical variation in amenities makes it ideal for our study. The mountainous nature of Nepal means that the country faces daunting challenges in the provision of transport and energy infrastructure. These challenges are unique to Nepal, however. Similar constraints are faced by many developing countries — or regions within such countries. 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:
3 The exact list of socioeconomic variables in the DHS is not identical to that on the JFPR application form. We
derive the index of socioeconomic status in the DHS from variables describing: the ownership of a bicycle, cart,
boat, motorbike, car, truck, radio, television; the conditions of the dwelling such as hard roofing and finished
flooring; the availability of electric lighting; the main source of drinking water; the type of toilet facilities; and the
main type of cooking fuel used.

beneficiaries was done by the Local Management Committee (LMC) of a JFPR _secondary_ school. In

The JFPR scholarship program established a cut-off in the maximum number of scholarships

Finally, the paper presents evidence of heterogeneity in the JFPR program effects. For this

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