Input: Produced by the Research Support Team Abstract The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development / World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent. Policy Research Working Paper 10100 This paper explores the impact of refugee return on social cohesion using data from Burundi, a country that experienced high levels of repatriation during the 2000s. It uses a nationwide survey conducted in 2015 and relies on geographic features of the communities for identification purposes. The results suggest varying impacts of refugee return on different aspects of social cohesion. The stronger effects, suggest that refugee return has a negative impact on the feeling that community members help each other, could borrow money for emergencies from non-household members and feeling that the community is peaceful. Usage context: primary mention, supporting mention, background mention.

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Input: Papaioannou, 2016; Berman et al., 2017; Harari and Ferrara, 2018; Eberle et al., 2020; McGuirk and Burke, 2020b). As a further robustness check, we also use data on conflict incidence and intensity from the UCDP, which uses a more conservative definition of conflict. The UCDP dataset is manually curated and compiled with automated computer assistance (Sundberg and Melander, 2013). The UCDP defines an armed conflict event as “ an incident where armed force was used by an organized actor against another organized actor, or against civilians, resulting in at least one direct death at a specific location and a specific date ” (Pettersson et al., 2020). We extract daily event observations from the UCDP dataset if the location of the actual event is exactly known, the event location is within a radius of less than 25 km around a known point, or at least the administrative district where the event happened is known. As pointed out by Eberle et al. (2020), the UCDP events are more likely to capture violence between large-scale and more structured groups. Table B. 2 shows that on average, conflict events seem to occur more in refugee-hosting areas. This is of course not a causal interpretation but a simple correlation. Usage context: background mention, supporting mention, primary mention.

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Input: Specifically, a 1 percent increase of the refugees ’ presence5 leads to a 2. 7 and 15. 9 percent increase in the diversification of livelihood activities as a secondary occupation and value of livestock product sale, respectively. It should be noted that this analysis is taking place during a period where refugees in Ethiopia were prohibited by law from seeking work outside designated camps. This has changed after 2019 because of the revised Ethiopian Refugee Law. These effects tend to be heterogeneous across regions and to a limited extent, vary depending on the gender of the household head. The negative effects tend to be concentrated in Gambella, a region that hosts most of the refugee population in Ethiopia and where the refugee population is as large as the population of the region. Overall, compared to women-headed households, households with a male head seem to benefit through increased diversification of activities as a secondary 4 Region refers to the administration level 1 from the Database of Global Administrative Areas (GADM). The nearest region to the refugee camp is identified as the one that has the shortest straight distance to the refugee camp among all neighboring regions in the major refugee source countries. 5 As explained above, refugee presence is the number of refugees (population) in the nearest refugee camp to the household location weighted by the household ’ s inverted distance to the camp.

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Input:
random variation, seasonal variation, and measurement error. Furthermore the FAO forces any CV to lie

motivation for this second approach, which is purely illustrative, is that the FAO derives this mean from

The third and final component needed to replicate the FAO calculations is to use the sample average of

daily energy requirement (2068 kcal per person per day). Using these estimates, the FAO approach

11 This is the last FAO report on which we have a detailed description of the exact mechanisms used. The
methodology used has been modified slightly since then, as explained Annex 2 of FAO (2012) and footnote 4.

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Input: 10,000 15,000 20,000 25,000 30,000 35,000 Hosts Refugees Hosts Refugees Hosts Refugees Eritrean Somali South Sudanese Figure D.28: Value of productive assets in households with business Source: World Bank Staff based on SESRE 2023. 0 10 20 30 40 50 60 Percent 70 80 90 100 Hosts Refugees Hosts Refugees Hosts Refugees Eritrean Somali South Sudanese Employed Unemployed, searching Unemployed, not searching Inactive not in school Inactive in school Figure D.30: Youth work status by survey domains Source: World Bank Staff based on SESRE 2023. 0 10 20 30 40 50 60 70 80 90 100 Hosts Refugees-Current Refugees-COB Hosts Refugees-Current Refugees-COB Hosts Refugees-Current Refugees-COB Eritrean Somali South Sudanese Salary (employment/casual labor) Crops/livestock Donations(NGO/gov) Remittances (local/international) Other (rental income, PSNP, pension) Percent Figure D.29: Primary source of income pre-post migration by survey domains Source: World Bank Staff based on SESRE 2023. Annexes 111 Results on Refugees’ Aspirations Table D.10: Refugee intention to migrate abroad (1) (2) Camp-Based Refugees OCP Refugees Male 0.022 -0.001 (0.019) (0.008) Age Under 30 - - Age 30-44 -0.000 -0.007 (0.020) (0.008) Age 45-64 -0.082*** -0.088** (0.027) (0.036) Education: Primary incomplete - - Education: Completed primary -0.008 0.004 (0.036) (0.009) Education: Completed secondary 0.016 0.006 (0.064)

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Input: than 500, 000 refugees, together accounting for half of all refugees and people in refugee-like situations (excluding Palestine refugees). Major refugee hosting countries are typically the neighbors of countries of origin. For example, Syria ’ s neighbors (Turkey, Lebanon, and Jordan) together accounted for 27 percent of total refugee numbers; Afghanistan ’ s neighbors (Pakistan and the Islamic Republic of Iran) together accounted for 16 percent; and Somalia ’ s and South Sudan ’ s neighbors (Ethiopia, Kenya and Uganda) together accounted for 11 percent. Some countries (Lebanon, Jordan and Turkey) are hosting a particularly large share of refugees relative to their population (see Figure 10). 45 However, in all other countries, the number of refugees as a percentage of the population is 3 percent or lower, and most often below 1 percent. Figure 7: Top 15 Host Countries as a Share of Total Refugees and Asylum-Seekers 1991 – 2015 Source: UNHCR Statistical Online Population Database Note: Includes refugees, people in refugee-like situations and asylum-seekers. Excludes Palestinian refugees under UNRWA ’ s mandate. 45 Nauru is a special case since the Australian government funds the offshore processing center where refugees and asylum-seekers intercepted at sea are detained pending determination of their status. Usage context: background mention, supporting mention, primary mention.

UNHCR Statistical Online Population Database

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Input: Surveys of employers consistently find that more than hard, technical skills, employers value these harder-to-quantify skills of honesty and integrity, problem-solving ability, work ethic, communication skills, the ability to work productively with others, responsibility and dependability (Blom and Hobbs 2007). The AGI program has focused on the development and measurement of these softer attributes that matter for employment as well as those that matter more to the individual, such as self-confidence and empowerment. Despite the challenges of measuring such subjective outcomes, the survey instruments included panels of questions designed to elucidate a nuanced picture of the personality and psychosocial characteristics that are most relevant for labor market success. Table 6A presents results on empowerment and decision-making. The first series of questions have to do with control over resources, spending decisions and earnings. Respondents were asked how much control they had over how to spend their own earnings; also, whether they had money of their own for basic uses that they alone could decide how to use, without having to ask for permission. The EPAG baseline survey found that respondents reported a high degree of control over resources even before the program started.

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Input: In aggregate, we expect to observe a negative relationship between the percentage of the population that reports displacement, but at the individual level we expect that experience with hosting may, in certain circumstances, be positively associated with perceptions of social cohesion, regarding perceptions of relationships and solidarity. 4 Displacement and Social Cohesion: Survey Evidence To empirically evaluate the relationships between hosting displaced populations and social cohe- sion, this paper analyzes a series of surveys of civilian adults conducted in eastern DRC. 8 Each survey uses a multi-stage cluster sampling strategy capturing all territoires9 in North Kivu, South Kivu and Ituri provinces. The ﬁnal sampling units are randomly selected adults above the age of 18 to avoid bias toward men and / or heads of households. Multiple attempts are made over the course of one day to contact selected respondents and if necessary, appointments are made for in- terview. Surveys are enumerated by Congolese college students or professionals and interviews are conducted by members of the same gender and ethnicity as respondents to minimize enumerator- induced response bias. Further methodological details have been published (Vinck, Pham, Bindu, Bedford & Nilles 2019) elsewhere and additional details and sample size calculation are detailed in Appendix. Usage context: primary mention, background mention, supporting mention.

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Input: 10 Last, specific adjustments are made in the case of Germany and the Republic of Korea. For Germany, bilateral data are available only by nationality. However, these data fail to take adequate account of the large number of ethnic Germans who arrived from other countries between 1944 and 1950 (mainly expellees) and those who arrived after1950 (mainly resettlers). Material from the German 2005 micro-census was therefore used to supplement the data for Germany (see appendix 3). In the case of Korea, data by nationality are readily available for each census round. However, these data fail to account for the large numbers of migrants from the People ‘ s Democratic Republic of Korea living in the Republic of Korea. Since the United Nations Trends in International Migrant Stock details the total migrant stock in the Republic of Korea by the country of birth definition and because citizenship is rarely granted to people from outside, it is simply assumed that the nationality data were comparable to the foreign-born definition. The nationality total was then subtracted from the UN total and the remaining migrants were assigned to the People ‘ s Democratic Republic of Korea.

United Nations Trends in International Migrant Stock

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Input: In a mortality study in Iraq, Galway et al. (2012) used GIS and Google earth imagery for household sampling. The method used gridded population data for selection of clusters. The first cluster sampling stage of their study used the ‘ Create Spatially Balanced Points ’ (CSBP) function in the ArcGIS (v10) software. Boo et al. (2020) introduces a sampling design based on gridded population estimates as their sampling frame to implement a PPS design and derive sample size estimates for the number of grid cells. Assuming the grid square method is applied to the area itself rather than a selected PSU, the weights for the grid method are similar to those for segmentation, where the cells are the PSUs, but without the additional step of selecting segments. The weights can therefore be represented as 𝑤𝑤𝑖𝑖 ′ = (𝑁𝑁𝑘𝑘) ൫𝑁𝑁𝑘𝑘𝑘𝑘൯൫𝑁𝑁𝑘𝑘𝑘𝑘𝑘𝑘൯ 𝑘𝑘𝑘𝑘𝑘𝑘. 2. 4. North Method The “ Qibla method ” described in Himelein et al. (2017), or what is called in this paper the “ North method ” method, is an attempt to assign probability weights to random point selection methods. Several random point selection methods can be found in the literature, particularly in relation to epidemiological studies. Usage context: background mention, supporting mention, primary mention.

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Input: 33 recommendations (Jewkes, 2000). Their efforts contributed to the Employment of Educators Act and new Department of Education guidelines, both of which were introduced in 2000. These regulations mandate dismissal of educators found guilty of sexual or physical assault, or of having a sexual relationship with a student. They also define penalties for failing to report abuse. It remains to be seen whether these measures will have the intended impact. After the act was passed, Human Rights Watch (2001) suggested that the South African government needed to do more to increase awareness of the law among school principals and to strengthen enforcement. Institutional reform Efforts to improve the institutional response to gender-based violence range from sensitization and training of staff, sexual harassment policies, curriculum reform, school-wide anti-violence awareness campaigns, counseling and referrals, and broader efforts to reduce discrimination against girls and improve school safety. Initiatives to increase female enrolment by improving girls ’ safety at and on the way to school As mentioned earlier, parental concerns about girls ’ safety in school appears to lower female school enrolment in settings such as South Asia, Africa and the Middle East.

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Input: 2 1. Introduction The most common sampling approach for cross-sectional household surveys in the developing world is a stratified two-stage design (Grosh and Munoz, 1996). Following stratification based on administrative boundaries, clusters are selected in the first stage with probability proportional to size from a national census-based frame. In the second stage, a canvassing operation is conducted in the selected clusters to compile an updated list from which households are randomly selected. While this methodology is straight forward to implement in the field and reliably produces unbiased estimates, there are several downsides. The first downside is cost. The World Bank ’ s Living Standards Measurement Study team, which provides technical assistance on large-scale household surveys around the world, estimates the field listing operation increases the overall budget for data collection by 25 percent. Due to confidentiality concerns, the data collected during a field listing operation, typically the name of the household head and address or location description of dwellings, does not have any analytical applications beyond as a component of the weight calculations. 2 At a time when typical survey costs are in the USD millions, reducing a significant cost component will increase the financial sustainability of data collection. The second drawback to the traditional design relates to timeliness. Usage context: primary mention, background mention, supporting mention.

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Input: vices. Our findings reveal significant delays in the physical and cognitive development of Venezuelan minors compared to their Colombian peers. Specifically, we observe a 0. 3 standard deviation difference in Body Mass Index (BMI), indicative of nutritional status, and a 12-percentage point difference in the Peabody Vocabulary Test scores, which as- sesses receptive vocabulary and verbal ability. Surprisingly, our analysis does not identify any disparities in socio-emotional and mental health between the two groups. This out- come is unexpected, given the high incidence of socio-emotional and mental health chal- lenges among forcibly displaced populations. The absence of discernible gaps in these areas could be attributed to the non-exposure of Venezuelan migrants to warfare, or it may reflect the vulnerabilities of the Colombian population, which has its own extensive history of internal forced displacement and violence. When examining the role of time of settlement, regularization status, and service access on the developmental disparities between Venezuelan and Colombian minors, we un- cover two significant facts. On the one hand, the gaps in both cognitive and physical development are diminishing over time. Usage context: primary mention, background mention, supporting mention.

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Input: stipend money, and they were formed into small groups or"EPAG teams", each with a coach or mentor, to foster support networks and boost attendance. 3. Methodology 3. 1. Research design The impact evaluation of the EPAG project uses a randomized controlled trial, in which eligible applicants to the program were randomly assigned to participate in one of two cohorts (or “ rounds ”) of training. The treatment group is defined as those who were offered a space in the first round of training and the control group comprises those assigned to the second round. Selection into the training rounds was performed on a computer (using Excel) and was stratified by the track choice of the applicant (job skills versus business development skills), community, and service provider. Data were collected using three quantitative household surveys (baseline, midline, and endline) and two sets of qualitative focus group discussions (one after each round of training). A timeline of the impact evaluation is depicted in Figure 1. During both the baseline and midline surveys, the head of the household in which the EPAG participant was residing was also interviewed, in order to examine potential spillover effects of the program on non-treated household members. Usage context: supporting mention, background mention, primary mention.

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Input: Nevertheless, censuses are the only nation-wide source of population data for potentially providing estimates of displaced populations, especially those in non-camp settings, and often provide a basis for sampling frames for survey instruments (UNHCR 2016). Capturing displacement situations in official statistics also increases their visibility. Sample surveys Sample surveys can potentially provide a rich source of data on forcibly displaced populations. Compared with censuses and registers, sample surveys allow more detailed questions to be asked about the characteristics and situations of households. If survey instruments identify displaced populations based on individuals ’ and households ’ self-reported migration history (including patterns and causes) they can enable the disaggregation of detailed data by displacement status (UNSD 2014). There are opportunities to mainstream forced displacement into international survey instruments, but this has only been done in a handful of cases. Several standardized international sample surveys have been designed for special purposes including the Living Standards Measurement Study (LSMS), 75 Labor Force 71 The UN census recommendations for the 2010 World Population and Housing Census Programme stipulate that refugees and IDPs living in camps should be counted and their numbers disaggregated in population statistics, however there is no requirement to separately distinguish displaced people living outside of camps (UNHCR 2016).

World Population and Housing Census Programme

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Input: 5. 5 Ethnic diversity at different levels Despite the use of sampling weights in the construction of the diversity indices, we have no guarantee that our diversity indices are representative at the local level. Although similar ethnic diversity indices have been used at the local level (Nunn and Wantchekon, 2011; Rohner et al., 2013; Robinson, 2017; Desmet et al., 2020; Gomes, 2020b, a; Hodler et al., 2020), we cannot exclude the possibility that a lack of representativeness at the local level introduces some noise into our estimates. Ideally, we would have liked to construct our local diversity indices based on census data. However, such data are not available on an annual basis and only a minority of African countries include ethnicity questions on their censuses (Robinson, 2017). Robinson (2017) highlights other benefits but also warns against the risk of using non-random samples or of the size of samples introducing significant errors.

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Input: In 2008, trained enumerators conducted face-to-face interviews in local languages with 26, 513 respondents across 19 countries. 5 The sample is designed as a representative cross-section of all citizens of voting age in a given country. The dataset used for this paper has a multilevel structure; individuals are nested within primary sampling units (PSUs), which are nested within countries. The PSUs are the smallest, well-deﬁned geographic units for which reliable population data are available and they tend to be socially homoge- nous, thereby producing highly clustered data. In most countries, these will be Census Enumeration Areas (Afrobarometer, 2005, 37-38). Although re- spondents were not sampled based on their ethnic aﬃliation, there is likely to be a high level of clustering in the dataset around ethnicity. In other work, I discuss the advantages of multilevel modeling (Levi and Sacks, 2009). Treating the dependent variable as a binary outcome and taking into account the multilevel nature of our data, I estimate random intercepts for 5I excluded Zimbabwe from the analysis because of missing data on key variables. 9

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Input: their earnings on household expenses than men. Most of these studies have focused on adult women, specifically married women with children. It is not known whether the same holds true for young women, who may have other spending priorities, have less experience in managing households, and have younger children. Given the large increases in employment and earnings documented above, the EPAG program serves as a good setting to examine these types of spillovers. The evaluation included detailed interviews with the heads of the household in which EPAG participants were residing. The purpose of the household questionnaires was precisely to examine the hypothesis that investing in young girls would benefit her household. A secondary hypothesis was that EPAG participation may change gender-related attitudes in the participants ’ households. Household data was collected for 1601 out of the 1622 individuals who were interviewed at both baseline and midline; this same sample of 1601 individuals serves as the basis for both the individual and household level analysis in this paper. The estimated impact of the program on a broad range of household outcomes is summarized in Tables 8 and 9. Panel A of Table 8 examines the household size.

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Input: Chew et al. (2018) use a baseline convolutional neural network model on a gridded population sampling frame to select a sample of households in Nigeria and Guatemala. The authors found this technique to be on par with human canvassing in terms of accuracy, and to outperform other machine learning models based on crowdsource or remote sensing data. Grais et al (2007) compared an unweighted random point selection methodology to a random walk in their study of vaccination rates in urban Niger. The authors do not find statistically significant differences between the methods, though the sample size was limited and both methods were non-probabilistic. 3. Design and Field Protocols 3. 1. Experiment Design This paper makes use of a dataset from the purposefully designed methodology experiment conducted in one section of the Protection of Civilians site 1 (PoC1, Figure 1), one of the largest IDP camps in Juba, South Sudan. To generate a gold standard as the basis of comparison, a household census was conducted between August and September 2017. During this exercise, 2, 655 households were interviewed using a questionnaire designed to collect demographic information, dwelling characteristics, household consumption, and perception data. At the end of each census interview, households received a unique barcode that could be used to identify them later in the experiment. Usage context: background mention, supporting mention, primary mention.

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

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Input:
150 P. B. Spiegel & P. V. Le

situations and lack of epidemiological expertise in many humanitarian agencies,
the data provided are often unreliable (Boss et al. 1994, Spiegel et al. 2004). To
assess the quality and standardization of BSSs, and its predecessor, the KAP
survey, undertaken in conflict and post-conflict situations, we evaluated the
methodological quality and use of internationally-accepted indicators of these
surveys conducted among refugee, IDP, host community, returnee, conflict and
post-conflict populations. Recommendations were then provided to humanitarian
agencies and governments on how to improve the quality and standardization of
BSSs among conflict and post-conflict populations.

Methods

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Input: Page 19 of 51 Source: Own calculations based on Household surveys Finally, we analyze the trends in the task content performed by non-standard workers following the task methodology following the methodology proposed by Acemoglu and Autor (2011). Figure 13 presents the variation in the task content index by non-standard workers vis-a-vis standard workers. A first general view suggests that non-routine cognitive task content of jobs (both analytical and interpersonal) increased in both NSE and SE even though we have some exceptions. Indeed, the only countries where non-standard employment shows a less intense profile in non-routine cognitive analytical tasks are Peru and the Dominican Republic. Additionally, Chile and El Salvador show a virtually null change in the intensity of this kind of tasks. In the case of standard employment, the change in the profile towards non-routine cognitive analytical tasks is even more obvious (the Dominican Republic is the only exception). A similar scenario is recorded in the case of the intensity of non-routine cognitive interpersonal tasks, even though in this case the trend is more pronounced in both, standard and non-standard employment. Additionally, the trends in SE and NSE are more correlated for this type of tasks. The evolution of the intensity in the routine cognitive tasks in the last two decades in NSE presents a much more heterogeneous picture. Usage context: background mention, primary mention, supporting mention.

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Input: This paper analyzes data from the initial wave of VenRePS-Kids, conducted from Oc- tober to December 2022, to outline key demographics and stylized facts about forcibly displaced children and adolescents. Initially, we examine the human development dis- parities of forcibly displaced Venezuelan children and adolescents in comparison to their Colombian counterparts. Our approach to human development is broad, covering physi- cal, cognitive, socio-emotional, and mental health aspects. Additionally, we complement our analysis by exploring differences in food security, social cohesion, and the economic status of parents. Although our analysis is descriptive, it represents a crucial initial step 2Venezuelan households are defined as those where both parents and their children have a Venezuelan nationality. Colombian households are composed of Colombian citizens only. 3

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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: primary mention, supporting mention, background mention.

Administrative Venezuelan Migrant Registry

Administrative Venezuelan Migrant Registry (RAMV)

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Input: Produced by the Research Support Team Abstract The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development / World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent. Policy Research Working Paper 9533 Refugee camps are believed to represent safe havens for forcibly displaced persons, but studies looking at refugees ’ quality of life in camps are few. This paper explores how Syrian refugees ’ quality of life in camps in Jordan differs from that of Syrian refugees residing outside camps. Using data from the Syrian Refugee and Host Community Survey, the study measures life quality through indicators of subjective life experience and material living conditions. Data are analyzed using advanced statistical methods (difference-in-difference and propensity score matching) to control for selection bias that could skew estimates of causal effects. Usage context: primary mention, background mention, supporting mention.

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Input: This distinction is also applied to foreign students, with those entering the system after February 2022 referred to as “ Migrant post-Feb 2022 ” and others referred as “ Migrant pre-Feb 2022 ”. 7 Administrative data from MoE. The Ministry data includes information for all students who enrolled at any point during the academic year. 8 This information covers academic year, grade, gender, birth date, birthplace, citizenship. They also include school-speciϐic information such as the name and identifying code of the institution where the student is enrolled. Furthermore, the dataset includes a variety of school outcome variables, including grades in English, Italian, Mathematics, overall GPA calculated as the average across all subjects, behavior scores from grade 9 to grade 12, guidance council evaluations from lower secondary school, records of absences, late entries, and early exits. Given the timing of this study, data for academic year 2022-23 are the most complete. For academic year 2022-2023, school enrollment data at the provincial level was provided for 4, 269, 348 enrolled students across the 8 years of Italian lower and upper secondary school, encompassing both public and private institutions. The dataset includes nearly all students in the country irrespective of their citizenship. 9 Table 1 shows the distribution of the different groups of students by grade. In the 7 For ease of reference, we refer to non-Italian and non-Ukrainian students as migrants. However, we acknowledge that some of these students may be refugees or displaced students. 8 At the time of writing this paper, both MoE and INVALSI data were not fully available and, as such, only the information on enrollment was used for the academic year 2023-24. 9These numbers do not include students enrolled in Provincial centers for adult education (CPIA). See footnote 5. Usage context: background mention, supporting mention, primary mention.

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Input: 2 Background Information 2. 1 Characteristics of West Bank and Gaza ’ s labor markets The labor markets of the West Bank and Gaza exhibit features typical of the broader Middle East and North Africa (MENA) region, but also have attributes that are highly unique. Additionally, important differences exist between the West Bank and Gaza. This section provides an overview of these characteristics. We use data from the Labor Force Surveys (LFS) of the West Bank and Gaza and we focus on 20-59 years old men. In Section 3. 1, we provide more information about the data sources and sample selection. We divide each labor market into five mutually exclusive and jointly exhaustive states: public sector employment, private formal sector employment, private informal sector employment, unemployment, and out of labor force. 1 We focus our discussion exclusively on men, as women ’ s labor force participation in both the West Bank and Gaza is very low, never reaching values above 25 %. This low participation rate is common in MENA countries and makes the role of the pandemic on women ’ s labor market outcomes relatively less important than other, more relevant structural factors.

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Input: The third proxy for economic activity is given by per capita growth of night light, computed using satellite data from the National Oceanic and Atmospheric Administration (NOAA). 6 Night light data has the beneﬁt 6Satellite data is available for a shorter time period, 1992-2013. 9 Usage context: background mention, primary mention, supporting mention.

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Input:
- Promote meaningful participation of persons with disabilities in humanitarian action, seek advice and collaborate with
national and local organizations of persons with disabilities in coordination structures and build their capacities.

- Prioritize the integration of disability inclusion and Mental Health and Psychosocial Support (MHPSS) services into the
overarching humanitarian response framework. This involves incorporating MHPSS elements into needs assessments and
program planning.

- Encourage the recruitment of persons with disabilities as staff at all levels of humanitarian organizations, including as
front-line workers and community mobilizers.

- Enhance age, gender and disability disaggregated data collection and analysis to develop risk mitigating measures and
appropriate indicators and use them to monitor the inclusion of persons with disabilities in all phases of humanitarian
action. When possible, collect data and information on the risks, barriers and needs of persons with disabilities,
particularly in remote regions that are difficult to access.

- Address the attitudinal and other barriers within the humanitarian community and perceptions of disability as an
‘additional complexity’ in an already complex context, and include it from the onset as part of human diversity.

#### RISK 2 Gender-based violence

**PROTECTION SECTOR AND PARTNERS**

age, gender and disability disaggregated data

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Input: The endogeneity of refugee inflow is addressed by exploiting differences in factors that influence refugee arrival in the host communities. Specifically, the analysis uses potential refugee inflow as an instrument, which is the product of population density and intensity of conflicts (number of fatalities per event) in the closest region of the origin country to the refugee camp weighted by the distance of the refugee camp to the closest region. The paper also constructs an aggregate index to proxy households ’ livelihood diversification strategies. The findings show that refugee inflow brings substantial benefits to host communities by creating significant jobs, in which people engage as secondary occupations, and triggers an increasing demand for livestock products. Specifically, while no effect was found on diversification of activities such as a primary occupation and crop product sales, a 1 percent increase in refugee inflow leads to a 2. 7 percent rise in diversification of livelihood activities as a secondary occupation and a 15. 9 percent increase in the value of livestock product sales. These effects tend to be heterogeneous across refugee hosting regions and the gender of the household head: negative effects were mainly observed in Gambella region, which hosts the largest refugee population in the country, and male-headed households were more likely to benefit from the refugee presence for the whole sample.

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Input: Eritrean Somali South Sudanese In camp Addis Ababa Total Female Male Percent Figure D.9: Stunting by gender of children Source: World Bank Staff based on SESRE 2023. a. Faced any problem b. Types of problems faced Annexes 103 - 500 1,000 1,500 2,000 2,500 3,000 3,500 Hosts Refugees Hosts Refugees Hosts Refugees Hosts Refugees Hosts Refugees Hosts Refugees Eritrean Somali South Sudanese In camp Addis Ababa Total Average household annual expenditure on health Average per capita annual expenditure on health Figure D.12: Average annual per capita health expenditure Source: World Bank Staff based on SESRE 2023. 0 10 20 30 40 50 60 70 Eritrean Somali South Sudanese In camp Addis Ababa Total Hosts Refugees Percent Figure D.11: No birth evidence available (children under five years) Source: World Bank Staff based on SESRE 2023. 0 10 20 30 40 50 60 70 80 90 100 Hosts Refugees Hosts Refugees Hosts Refugees Hosts Refugees Hosts Refugees Hosts Refugees Eritrean Somali South Sudanese In camp Addis Ababa Total Health institutions (health center/hospital) Home Other Percent Figure D.10: Childbirth in health institutions (children under five years) Source: World Bank Staff based on SESRE 2023. Annexes 104 Hearing Walking or climbing steps Percent Refugees

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Input: 3 MPI, constructed in Admasu et al. (2021), to capture the deprivations of forcibly displaced individuals and their gendered lives. The paper proceeds as follows. Section 2 reviews the existing literature to provide the background and motivation for the analysis, including a summary of the different country contexts covered by the case studies in this paper. Section 3 outlines the measurement strategy for deconstructing the MPI used for analysis and its limitations, followed by Section 4, which introduces the data. Section 5 presents the findings, first for deprivation results at the individual level and then results evaluating intrahousehold inequalities. Concluding remarks are discussed in Section 6. 2 Background and Literature Review 2. 1 Individual-level measures of gender and multidimensional poverty Individual-level analyses of multidimensional poverty have mostly centered around children, with various studies analyzing the relevance of indicators for children (aged 0- 17 years), 2 as well as other age ranges. The MPI has also been used to better understand gender issues, for example, Batana (2008) implemented a women ’ s MPI in Sub-Saharan Africa. Bhutan ’ s Gross National Happiness measures (2010, 2015), Vijaya et al. (2014), and Klasen and Lahoti (2016) are implemented at the individual level. Usage context: supporting mention, background mention, primary mention.

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Input: there are approximately 30 refugee camps in Ethiopia, this report refers to the 24 camps included in SESRE. vii Hosts tend to support refugees’ right to work and move to locations with better economic opportunities. Hosts support increasing refugees’ economic opportunities in Ethiopia, but some perceive that refugees increase insecurity and are taking their land. Hosts’ perceptions of adverse effects from refugees are low, but they indicate the impact on economic competition, price increases, deforestation, and security issues. Trust between refugees and hosts is similar, with refugees being more trusting. Refugees are more likely to trust a host if they are culturally similar. Cultural proximity and positive perceptions of economic benefits improve the co-existence of refugees and hosts. Still, additional effort is required to improve the social integration of refugees for enhanced economic integration. Policy Recommendations Addressing challenges refugees face in Ethiopia requires a concerted effort to promote their self- reliance, economic integration, and access to education and health. By leveraging data from initiatives like SESRE and adopting a comprehensive approach that considers the needs of both refugees and host communities, Ethiopia can maximize the benefits from hosting refugees while minimizing associated costs. The Government of Ethiopia has committed to

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Input: 12 though somewhat lower than that of the Turkish at 30- 50 percent. Child labor is also quite prevalent, though there have been extensive efforts made to ensure that refugee children attend school. 19 Publicly available information on refugees comes from an AFAD survey of 2, 700 households in June and July 2013. Figure 2, using data from AFAD (2013), provides an overview of the Syrian governorates from which the refugees to Turkey originated. The refugees primarily come from northwest Syria. The largest source regions are Aleppo (36 percent), Idleb (21 percent) al-Raqqah (11 percent), Lattakia (9 percent), and Hamah (8 percent). Consistent with travel distance being a good predictor of refugee flows to Turkey, 80 percent of respondents report that they chose to flee to Turkey, instead of another country, due to the ease of transportation. The refugees in Turkey, unlike the later 2015 refugee flows to Western Europe, are nearly 50 percent female. Slightly over 50 percent are minors (under the age of 18). These facts reflect that to large extent Syrian families fled to Turkey together. Usage context: primary mention, background mention, supporting mention.

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Input: 21 Table 6: Percentage of displaced individuals deprived in selected indicators by gender Ethiopia South Sudan Sudan Male Female Male Female Male Female Years of schooling 55 78 * * * 36 63 * * * 32 46 * * * School attendance 16 19 * * 21 29 23 23 Early marriage 3 13 * * * 8 75 * * * 6 50 * * * Unemployment 7 5 * * * 2 0 * 3 3 Legal id 45 46 48 74 * * * 10 10 Source: Authors ’ calculations based on data from the High Frequency Surveys of Ethiopia (2017), Nigeria (2018), Somalia (2017), South Sudan (2017) and Sudan (2017). Asterisks indicate statistical significance of mean differences between male and female at 1 % * * *, 5 % * * and 10 % * levels. Returning to patterns of household headship, Figure 5 breaks down the variation in censored headcount ratios among refugee households in Ethiopia, depending on the gender of the household head.

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Input: of Return Migration, Human Capital Accumulation, and Wage Assimilation. The Review of Economic Studies, 89(6), 2841-2871. Alix-Garcia, J., Walker, S., Bartlett, A., Onder, H., and Sanghi, A. (2018). Do Refugee Camps Help or Hurt Hosts? The Case of Kakuma, Kenya. Journal of Development Economics, 130, 66-83. Alkire, S., Kanagaratman, U., and Suppa, N. (2021). The Global Multidimensional Poverty Index (MPI) 2021, OPHI MPI Methodological Note 51. Oxford Poverty and Human Development Initiative, University of Oxford. Altindag, O., Bakls, O., and Rozo, M. S. (2020). Blessing or Burden? Impacts of Refugees on Businesses and the Informal Economy. Journal of Development Economics, 146. https://doi.org/10.1016/j.jdeveco.2020.102490 Andersen, H.L., Osland, L. and Zhang, M.L. (2023). Labour Market Integration of Refugees and The Importance of the Neighborhood: Norwegian Quasi-experimental Evidence. Journal of Labour Market Research 57, 16. https://doi.org/10.1186/ s12651-023-00341-y Aracl, D., Demirci, M., and Klrdar, M. (2022). Development Level of Hosting Areas and the Impact of Refugees on Natives’ Labor Market Outcomes in Turkey. European Economic Review, 145. https://doi.org/10.1016/j.euroecorev.2022.104132 Atamanov, A., Hoogeveen, J., and Reese, B. (2023). The Costs Come Before the Benefits Follow. Why Should Donors Invest More in Refugee Autonomy in Uganda? 1–11. Azlor, L., Damm, A. P., and Schultz-Nielsen, M. L. (2020). Local

Global Multidimensional Poverty Index (MPI) 2021

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Input:
Data sources: UNHCR PRIMES.  For more information or to contribute, please contact UNHCR RBSA DIMA (rsarbdima@unhcr.org)

The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations

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Input: 12 Survey design and administration Designing a socio-economic survey including consumption measures for non-displaced households is challenging as the interview time is limited and one has to be very selective to restrict the number of questions in surveys. For FDPs, the challenge is exacerbated given the need to understand not only their present socio-economic well-being, but also their displacement trajectory as well as their aid dependency. In this context, spending 90 or more minutes on an elaborate consumption module might not be a priority. Instead, detailed information on displacement and aid is crucial and something that is not properly assessed in non FDPs surveys. Fatigue from over-surveying is often cited as an anecdotal challenge in the context of FDPs, leading to survey non-response. Even though FDPs are often subject to intensive surveying by multiple agencies, survey non-response is not as high as for regular populations and the likelihood for a household to be interviewed multiple times is limited. Only censuses interview everyone in the population, they are often prohibitively expensive, and suffer from low data quality outstripping their size advantage. Thus, only few censuses – with very short questionnaires – are necessary for verification exercises. Hence, the chance of multiple interviews for the same households in a short period of time is low. Usage context: background mention, supporting mention, primary mention.

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Input: Looking also at the impact of IDPs in Colombia on wages, Morales (2017) uses a labor force survey, census data and registry data to study short and long-term effects as follows: 𝑆ℎ𝑜𝑟𝑡 െ 𝑟𝑢𝑛: 𝑦 ௜ ௠ ௧ ൌ 𝛼 ൅ 𝛽𝑑 ௠ ௧ ି ଵ ൅ 𝜆 ௜ 𝑋 ௜ ௠ ௧ ൅ 𝜆 ௠ 𝑋 ௠ ௧ ൅ 𝛾௧ ൅ 𝛿 ௠ ൅ 𝛿 ௠ 𝑇 ൅ 𝜀 ௜ ௠ ௧ 𝐿𝑜𝑛𝑔 െ 𝑟𝑢𝑛: 𝑦 ௜ ௠ ൌ 𝛼 ൅ 𝛽𝑑 ௠ ൅ 𝜆 ௜ 𝑋 ௜ ௠ ൅ 𝜆 ௠ 𝑋 ௠ ൅ 𝛿 ஽ ௠ ൅ 𝜀 ௜ ௠ where y is the log of wages, i, m, and i are individuals, municipalities and time respectively, 𝑋 ௜ ௠ ௧ are individual controls, 𝑋 ௠ ௧ is the log of total population or other municipality controls, 𝛾௧ and 𝛿 ௠ are time and municipality fixed effects, 𝛿 ௠ 𝑇 are municipality time trends, 𝛿 ஽ ௠ are department fixed effects and d is the inflow of IDPs defined as 𝑑 ௠ ௧ ൌ 100 𝑝𝑜𝑝 ௠ ௧ 𝑓 ௠ ௧ where 𝑓 ௠ ௧ is the total number of IDPs arriving in municipality m at time t. The same variable without the t subscript is used for the long-run effects equation. Usage context: primary mention, background mention, supporting mention.

labor force survey
census data
registry data

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Input: A recent global hazard analysis generated a comprehensive database of hazard events during 1975- 2007 from observed data and of event probabilities from geo-physical models (ISDR 2009). We combined this hazard information with city-specific population projections 2 It should be noted that well-documented evidence for such externalities is quite scarce. Their importance is usually taken as given: “ A building collapse may create externalities in the form of economic dislocations and other social costs in addition to the economic loss suffered by the owner. The owners may not have taken these consequences into account when evaluating specific mitigation measures. Consider the following example. A building toppling off its foundation after an earthquake could break a pipeline and cause a major fire, which would damage other homes that had not been affected by the earthquake in the first place. “ Kuenreuther and Roth (1998). See also www. quakesmart. org / index. php? option = com_content & view = article & id = 92 & Itemid = 209. But some experiences have been documented: “ As shown by research on the Great Hanshin-Awaji Earthquake, including that conducted by the Architectural Institute of Japan, Architectural Institute of Japan (1997), houses with inferior earthquake-resistant quality triggered large negative externalities in the neighborhood. For example, broken fragile houses blocked transportation networks, thereby preventing effective fire fighting and, by severing lifelines, they made recovery more difficult. ” (Nakagawaa et al. 2007). Usage context: primary mention, supporting mention, background mention.

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Input:
They indicate that a 10% increase in Germany's export share is associated with a 8% increase in German ownership (0.04 percentage points over the average ownership of 0.5%). We do not find evidence of border regions receiving more FDI from Germany (Figure A.8 of the Appendix). As a falsification experiment, we employ the same specification on similar data for Romanian firms, also from the Orbis database. Since Romania acceded the EU in 2007, we would not expect to observe a significant effect in this case.

It is worth noting that the sharp increase in foreign acquisitions was not likely driven by the lift of restrictions on FDI. OECD data on FDI restrictiveness for Poland show that screening and legal restrictions on FDI in manufacturing sectors had already been greatly removed by the time of accession.

Table 2 presents summary statistics from the pooled 2013 and 2018 Demographic Health Surveys for our child health outcomes, parental and household characteristics in the oil producing states

Our child health data come from the 2013 and 2018 Nigerian Demographic Health Survey (DHS). These nationally representative cross-sectional surveys have demographic and health details for women aged (15-49) and for children aged (0-5).

of flare volumes. These come from the Visible Infrared Imaging Radiometer Suite (VIIRS) on-board the

Orbis database
Nigerian Demographic Health Survey

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Input: 12 Table 1 provides on overview of the definition and data source of all conflict exposure proxies discussed in the following. a) Child and sibling mortality A first proxy that captures replacement effects is whether or not a woman lost a child during the genocide (CHILDDEATH). The RDHS questionnaires record child mortality in great detail and even ask for the month of death. This allows us to precisely code CHILDDEATH to take the value one if a woman lost one or more children between April and July 1994. Moreover, we differentiate child death by gender in two further conflict proxies: SONDEATH indicates the death of at least one son during the genocide; DAUGHTERDEATH the death of at least one daughter. Fig. 2 displays the occurrence of child deaths over time as calculated from the 2000 and 2005 RDHS. Child deaths peak during the 1994 genocide, although child mortality remains relatively high in the immediate post-war period. Given that many mothers would have been killed in the genocide at the same time as their (young) children, this proxy somewhat underestimates the effects of genocide on child mortality. We interpret this proxy as capturing also the negative effects of conflict on health, sanitation and nutrition, leading to (even) higher child mortality. A second proxy indicating replacement effects uses sibling mortality during the genocide (SIBLINGDEATH). Usage context: supporting mention, primary mention, background mention.

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Input:
|Strategic
priorities
Modalities|Protection of civilians|Displacement|Access to services|
|---|---|---|---|
|
**Advocacy**| Monitoring and reporting
(civilians casualties, MRM)
 Engagement with parties
to the conflict
 Support to the NUG to
publish and implement its
National Policy on Civilian
Casualty Prevention and
Mitigation (Cf. PoC key
advocacy areas)| Support to DiREC
 Information products
 Briefing notes to
HC/HCT, GPC, Donors
 Adherence to refugee
law especially with
regard to refoulement| Access to civil
documentation and
policies for the affected
population to be able to
access justice, education,
finance and inheritance
rights in the interim
 Linkage with Citizen
Charter CDCs|
|
**Advocacy**|Protection monitoring|Protection monitoring|Protection monitoring|
|
**Advocacy**|HCT Protection strategy

|HCT Protection strategy

|HCT Protection strategy

|
|
**Access**| Conflict and stakeholder
analysis| Protection integration
in Health, FS,
Shelter/NFI,WASH,
cash based
programming| Communication and
information strategy|
|
**Access**|HAG - Negotiated access strategies of international actors|HAG - Negotiated access strategies of international actors|HAG - Negotiated access strategies of international actors|
|
**Access**|Partnership and capacity building of local actors|Partnership and capacity building of local actors|Partnership and capacity building of local actors|
|
**Access**|Establishment of Community Network|Establishment of Community Network|Establishment of Community Network|
|
**Access**|Mobile outreach and remote monitoring

|Mobile outreach and remote monitoring

|Mobile outreach and remote monitoring

|
|
**Protection **| Mine action| Protection assessment
and analysis
 Alert system
 Gender analysis
 Preparedness| PSN Network
(Identification and
referral)
 linkage with AIHRC to
address areas of human
trafficking, lack of access
to essential services and
justice through a human
rights lens|
|
**Protection **|Community Based
Measures
|Protection Mainstreaming in Health, FS, Shelter/NFI,
WASH, cash based programming

|Protection Mainstreaming in Health, FS, Shelter/NFI,
WASH, cash based programming

|
|
**Protection **| UNAMA PoC
 Local advocacy| Assistance and
Mediation to issues
related to HLP| Child Protection (support
to CPANs, CFS, packet of
services)
  GBV capacity
(Identification and
referral),legal assistance
 Access to tazkera|
|
**Protection **|Call center|Call center|Call center|

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Input: except biscuits. Refugee households still report lower quantities, even when valuing the food ration quantities indicated as sold in markets. Possible explanations for lower food quantities are that food rations are only received once a month, which may not coincide with the interview date. Moreover, SESRE asks what food people consumed (not based on a pre-set list of food items), not food received as aid. Refugees may sell more than indicated. Valuing quantities of food aid with prices from SESRE suggests that if UNHCR food aid quantities were received/reported by refugees, refugees’ food expenditures would be much more comparable to those of hosts. Using WFP food aid information, we found a picture similar to UNHCR’s. Quantities consumed in SESRE are lower than food aid, as reported by WFP, except for CSB+ and salt (See Annex E for details of the disparity in food aid between the admin data disparity SESRE report). Box 5.2: Disparity between refugee ration aid and reported consumption quantities 0 10 20 30 40 50 60 70 80 90 100 Hosts Refugees Hosts Refugees Hosts Refugees In Camp Addis Ababa Total Own production Market purchase Transfers/gifs Hosts Refugees Hosts Refugees Hosts Refugees In Camp Addis Ababa Total

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Input: status Source: World Bank Staff based on SESRE 2023. Employed Unemployed, searching Unemployed, not searching Inactive not in school Inactive in school Percent 0 20 40 60 80 100 Camp Hosts Female Camp Refugees Female Addis Hosts Female Addis Refugees Female Figure 3.29: Female youth work status Source: World Bank Staff based on SESRE 2023. Jobs and Livelihoods 39 T his chapter looks at how low sociodemographic and labor market outcomes shape how refugees perceive their future prospects and aspirations. While “resettlement” to a high-income country is an attractive solution, the share of refugees resettled globally is marginal. Resettlement is considered one of the three “durable solutions” for refugee protection under the 1951 Refugee Convention, alongside naturalization and return. Yet, the share of refugees resettled globally—including private sponsorship and other complementary pathways of refugee admission to third countries outside of UNHCR processes—was below 2 percent over the past twenty years (World Bank, 2023). According to government statistics, there has also been a downward global trend in the number of resettlement opportunities, fluctuating from 99,000 in 2010 to just 34,000 in 2020, even as the number of forcibly displaced persons increases globally. In Ethiopia, resettlement numbers are similarly low; in 2022,

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Input: 10 statuses in February 2020, right before the pandemic. We deemed the SYPJ data to be more suited to our question since it allows to look at the trend of employment outcomes before the pandemic as well as right after the shock in the summer of 2020 and therefore allows investigating the effect of the pandemic on the two populations. The CMM data would be better suited to capture the recovery from the pandemic (Krafft et al., Forthcoming). The overlapping portion of the CMM data with the SYPJ data (February 2020 to February 2021) did not allow for a comparable analysis to the one we did in this paper. The overlap is not perfect. CMM data was collected a few months after the bulk of the SYPJ data only allowing for a comparison between the first half of 2021 (CMM) to the second half of 2020 rates (SYPJ). This is not a reasonable comparison especially in a period with rapidly changing events like the pandemic time. In addition, the time intervals are different as CMM data allows for examining annual change (February 2020 to February 2021) as opposed to semi-annual, and that is only one period which does not allow to compare the trend. In our analysis we focus on young males aged 15 and above who ever worked. Usage context: primary mention, supporting mention, background mention.

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Input: high informality. Some of these studies also ﬁnd that women and young workers were disproportionately aﬀected. More recently, researchers have shifted the focus to other dimensions of the eﬀects of Syrian refugee inﬂows into Turkey. Altindag et al. (2020) argue that refugee inﬂows had a positive impact on ﬁrm production, both in terms of the volume of production and the introduction of new product varieties. Akgunduz and Torun (2020) examine other channels by which Turkish workers and ﬁrms accommodated the inﬂows of Syrian refugees. The authors ﬁnd that skilled native workers increased their specialization in complex tasks, moving away from manual tasks, and domestic companies took advantage of the increased abundance of labor by reducing capital intensity. As shown in earlier studies, both mechanisms contribute to mitigate the eﬀects of immigration on the wages of the receiving country (Lewis (2005), Peri and Sparber (2009), Gonzalez and Ortega (2011) and Dustmann and Glitz (2015)). In the last few years, some researchers have begun to analyze the economic eﬀects of the exodus of Venezuelans on the surrounding countries but progress has been slow due to the diﬃculty of analyzing Venezuelan migrants equipped solely with government- provided data or the standard labor force surveys. Usage context: primary mention, supporting mention, background mention.

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Input: First, I include a measure of whether citizens believe that a large portion of tax administrators is corrupt. Second, I in- clude a variable indicating whether citizens approve of how well their local government is handling the collection of license fees on bicycles, carts and barrows. 8 Third, both the size of a country and the size of the government may aﬀect a government ’ s ability to detect and punish evaders. I include the 7I also include a country-level indicator of government performance, the World Bank Governance indicator of government eﬀectiveness, in the model. This indicator measures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implemen- tation, and the credibility of the government ’ s commitment to such policies (Kaufmann, Kraay and Mastruzzi, 2006, 4). This variable is not signiﬁcant at the p <. 05 level. 8I included two additional measures in the model neither of which were signiﬁcant at the p < 0. 05 level. One is a measure of citizens ’ approval of how well their local government council provides citizens with the information about the councils budget (i. e. revenues and expenditures). The other, the World Bank governance indicator, control of corruption, measures the extent to which public power is exercised for private gain, as well as capture of the state by elites and private interest (Kaufmann, Kraay and Mastruzzi, 2006, 4). 13 Usage context: background mention, primary mention, supporting mention.

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Input: thirty years of autocratic rule that followed the Congolese independence from Belgium colonial rule paved the way to a violent transition, culminating in two internationalized wars from 1996 to 1997, in the aftermath of the Rwandan genocide, and from 1998 to 2003. Since the end of the Second Congo War in 2003, eastern Congo has remained unstable and violent, with many domestic and foreign-backed armed groups – including elements of the state military, FARDC – using violence against civilians and each other (Autesserre 2010). The violence and instability have resulted in poor living conditions and regular forced displacement for Congolese civilians. This project focuses on three provinces of eastern DRC that are especially impacted by forced displacement and political violence: North Kivu, South Kivu, and Ituri. 4 These three provinces account for 4. 5 million out of an estimated 5. 268 million total (85 %) IDPs in DRC 2020 (UNHCR Operational Data Portal: Democratic Republic of Congo 2021). Other provinces not included in this study but hosting IDPs include southern and central provinces such as Kasai, Kasai-Central, Kasai-Oriental, Lomani, Sankuru, and Tanganyika. The analysis in this paper focuses exclusively on dynamics in eastern Congo where the authors collected data. Usage context: supporting mention, primary mention, background mention.

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Input: Refugees Hosts Refugees Hosts Refugees Hosts Refugees Eritrean Somali South Sudanese In camp Addis Ababa Total Health institutions (health center/hospital) Home Other Percent Figure D.10: Childbirth in health institutions (children under five years) Source: World Bank Staff based on SESRE 2023. Annexes 104 Hearing Walking or climbing steps Percent Refugees Eritrean Somali South Sudanese In Camp Addis Ababa Total Hosts Seeing Diﬀiculty with selfcare Communicating Remembering or concentrating Refugees Hosts Refugees Hosts Refugees Hosts Refugees Hosts Refugees Hosts 50 40 30 20 90 100 80 70 60 10 0 Figure D.13: Types of disability Source: World Bank Staff based on SESRE 2023. - 10,000 20,000 30,000 40,000 50,000 60,000 Hosts Refugees Addis Ababa Total annual rent expenditure Per adult equivalent rent expenditure Figure D.14: Rent expenditure (Refugees and hosts in Addis Ababa) Source: World Bank Staff based on SESRE 2023. 0 20 40 60 80 100 Eritrean Somali South Sudanese Addis Ababa Eritrean Somali South Sudanese Addis Ababa Eritrean Somali South Sudanese Addis Ababa Has hand washing place/item Water available Detergent available Hosts Refugees Percent Figure D.15: Hand washing facility Source: World Bank Staff based on SESRE 2023. Annexes 105 Table D.5: Labor force statistics by survey domains Eritrean Somali

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Input: Figure 1 ‐ Number of Forcibly Displaced Persons (1951 ‐ 2015) Source: Constructed from UNHCR population data (http: / / popstats. unhcr. org / en / time_series). Note: 2015 data are mid ‐ year and lower than end of year data. 5 http: / / www. unhcr. org / en ‐ us / figures ‐ at ‐ a ‐ glance. html. 0 10000000 20000000 30000000 40000000 50000000 60000000 70000000 1951 1953 1955 1957 1959 1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015

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Input: Figure 18: Significant Refugee Returns by Country of Origin 1991 – 2015 Source: UNHCR Statistical Online Population Database, UNHCR Global Trends 2015 Note: Countries selected based on their cumulative returns of refugees over the period 1991-2015. Return does not necessarily lead to the full reintegration of a person into their home country or area of origin. In the absence of global data on the success of reintegration following return, data on returns appear to be taken as indication of sustainable return. In reality, many returnees face impediments to reintegration and continue to have specific economic and social vulnerabilities linked to their displacement. They may not be able to reclaim land, access sufficient financial resources (e. g. accumulated during their displacement) or reestablish social networks in areas of origin, which are critical factors for successful reintegration (World Bank 2015). Sustainable refugee return is therefore not a one-off event but a process that provides returnees with adequate safety, housing, livelihoods and services that address their specific vulnerabilities and reduce the likelihood of secondary displacement (World Bank 2015). Figure 19: Voluntary Returns of Refugees 1991 – 2015 Source: UNHCR Statistical Online Population Database, UNHCR Global Trends 2015 Note: Includes returns of refugees and people in refugee- like situations protected or assisted by UNHCR. Usage context: supporting mention, primary mention, background mention.

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Input: The United Nations Economic Commission for Europe ’ s (UNECE) guidelines include a question on reason for migration, population with a refugee-like background and IDPs as non-core topics / questions (UNHCR 2016). 72 While most countries include questions on country of birth and citizenship, only about 40 percent include a question on year of migration, less than a quarter include a question on reason for international migration, and about a fifth include a question on the reason for internal migration (UNHCR 2016). 73 E. g. Kyrgyz Republic 1999 (refugee status), West Bank and Gaza 2007 (refugee status), Zambia 2000 and 2010 (purpose of stay), Germany 1970 (federal refugee identity card), Greece 2001 (reason for settling in Greece), Sudan and South Sudan 2008 (type of household including IDP and refugee), Liberia 1990 (ever displaced by war since 1990), Uganda 2014 (refugees). 74 UNHCR is collaborating with the Statistics Norway on systematically embedding forcibly displaced peoples in national statistics exercises and collaborates with national authorities and with UNFPA in various countries on the design of census exercises that include refugees, IDPs, returnees and stateless persons. 75 LSMS is a household survey program housed in the Bank's Development Research Group that provides technical assistance to national statistical offices in the design and implementation of multi-topic household surveys covering household behavior, welfare and interactions with government policies. All data gathered through the LSMS is published online in the Bank ’ s Central Microdata Catalog. Usage context: supporting mention, background mention, primary mention.

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Input: Excluding respondents who have relocated would omit those with the higher rates of income growth and poverty reduction. Table 5 reports confidence intervals for the incremental samples (which are not mutually exclusive); it gives a more detailed picture of how inference on consumption growth and poverty reduction would have changed if we had not tracked movers. It is apparent that inference from a ‘ simple ’ panel survey of respondents continuing to reside within the original communities would have produced underestimates of actual consumption growth and poverty reduction in this population. These conclusions are robust across the distribution of consumption, as well as at the mean and poverty line. Panel A in Figure 2 depicts the cumulative density function for consumption per capita for those people who remained living in the same community. Panels B, C and D make the same graph for respondents found residing in neighboring communities, elswehere in Kagera Region and outside Kagera Region. As respondents were located further from their location in 1991, so the difference between the 1991 and 2004 graphs becomes more pronounced. Note how, for people who remained in the baseline community, the 1991 and 2004 distributions lie close to each other under the poverty line and diverge above it, while for other mobility categories there is more divergence at the bottom of the graph. Usage context: primary mention, background mention, supporting mention.

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Input: The comparison between ∆ h is for actual and hypothetical destinations tells us whether the actual district of destination is more densely populated than alternative destinations. Results are presented in Table 3 for all variables used in the analysis. We begin with district log income eδs. We have two estimates of eδs, one obtained using reported income data, and the other based on reported consumption data. Given that most respondents to the NLSS survey are self-employed, measurement error is typically larger for income than for consumption. We see that our estimates of log income and consumption eδs are on average 20 % and 8 % higher in 20 Usage context: supporting mention, primary mention, background mention.

reported consumption data
reported income data

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Input: Figure 3 also shows that there is considerable variation in both indexes within our sample when averaging these indexes at the regional level over the period of investigation. 16It is possible that our approximation is noisy and could potentially induce non-random measurement errors. In Section 4. 3, we propose an instrumental variable approach and estimate Shareodet from the EPR-ER data using a gravity model. Our findings concerning the number of ethnic groups across time for a given origin – destination pair are in line with the EPR-ER data. It seems that refugees of a given origin – destination pair mainly belong to two major ethnic groups. This also means that the variation in diversity in refugee-hosting areas is coming from the refugee composition at the camp level. Figure B. 5 shows the movements of refugees from origin to destination countries under scrutiny. Somalia, the Democratic Republic of Congo, Liberia, South Sudan, and Sudan are major source countries for refugees, while Kenya, Tanzania, Uganda, Zambia, and Ghana appear to be countries hosting most refugees. Representing refugees in camps per ethnic group for the top 5 asylum countries over the sample period, Figure B. 9 shows that there is considerable variation in ethnic composition across camps. 17 Usage context: background mention, supporting mention, primary mention.

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Input:
_UNHCR
 Discussion
 Paper
 –15
 June
 2013_

from
 the
 temporary
 shelters
 in
 Thailand
 to
 their
 place
 of
 origin,
 the
 majority
 of
 whom
are
 single
 males
 who
 stated
 that
 they
 had
 returned
 to
 assess
 the
 security
 situation
 and
start
 re-‐establishing
 their
 livelihood
 before
 the
 return
 of
 other
 family
 members.
 The
dimensions
 of
 this
 spontaneous
 return
 movement
 have
 been,
 so
 far,
 negligible.

While
 the
 dimensions
 of
 IDP
 return
 movements
 remain
 extremely
 difficult
 to
 assess,
some
 37,000
 IDPs
 are
 estimated
 by
 the
 The
 Border
 Consortium
 (TBC)
 to
 have
 returned
home
 or
 resettled
 in
 surrounding
 areas
 between
 August
 2011
 and
 July
 2012 [3] .

If
 the
 current
 trend
 of
 political
 and
 socio-‐economic
 reforms
 continues
 and
 as
 larger
political
 events
 draw
 closer,
 such
 as
 the
 ASEAN/AEC
 agenda
 with
 Myanmar
 as
 Chair
 in
2014,
 a
 national
 census
 in
 2014,
 and
 national
 elections
 in
 2015,
 then
 the
 momentum
 to
translate
 cease-‐fire
 negotiations
 into
 peace
 agreements
 may
 increase.
 This
 may
 lead
 to
an
 increase
 in
 the
 number
 of
 spontaneous
 returns
 and
 the
 possibility
 of
 sudden
demands
 upon
 UNHCR
 to
 facilitate
 the
 voluntary
 repatriation
 of
 refugees.

**2.2.
 Protection
 environment**

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Input: First, I include a measure of whether citizens believe that a large portion of tax administrators is corrupt. Second, I in- clude a variable indicating whether citizens approve of how well their local government is handling the collection of license fees on bicycles, carts and barrows. 8 Third, both the size of a country and the size of the government may aﬀect a government ’ s ability to detect and punish evaders. I include the 7I also include a country-level indicator of government performance, the World Bank Governance indicator of government eﬀectiveness, in the model. This indicator measures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implemen- tation, and the credibility of the government ’ s commitment to such policies (Kaufmann, Kraay and Mastruzzi, 2006, 4). This variable is not signiﬁcant at the p <. 05 level. 8I included two additional measures in the model neither of which were signiﬁcant at the p < 0. 05 level. One is a measure of citizens ’ approval of how well their local government council provides citizens with the information about the councils budget (i. e. revenues and expenditures). The other, the World Bank governance indicator, control of corruption, measures the extent to which public power is exercised for private gain, as well as capture of the state by elites and private interest (Kaufmann, Kraay and Mastruzzi, 2006, 4). 13 Usage context: primary mention, background mention, supporting mention.

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Input:
race or ethnic group as the majority (ESS). _Education_ is the average number of years of full-time education completed (ESS).   _Age_ is the median age of all respondents (ESS). All summary statistics use design and population size weights.

The estimates are small area estimations
based on the 2014 Demographic and Health Survey and

the latest population census. It is shown that small area
estimations are powerful predictors of undernutrition, even
controlling for household characteristics, such as wealth and
education, and hence a valuable targeting metric.

**Keywords:** Child malnutrition, Small Area Estimation, Demographic and Health Survey, Targeting, Ethiopia

2014 Demographic and Health Survey
Demographic and Health Survey

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Input:
Total Consumption (percent, Production) 66 66 66 73 81 78 77 1.2 _Source:_ Publications of and contacts with Public Services Regulatory Commission, Republic of Armenia

_Source:_ International Energy Agency, _Energy Statistics, 2007_

The 2008 ILCS data is used in the simulation of the impact of gasp price hike on April 1, 2010.

3 For detailed description of the 2008 ILCS, please refer to NSS (2009).

The ILCS collects data from nearly 8,000 Armenian households surveyed year round. It is based

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Input: 36 7. Conclusions To make progress in promoting equality and improving the living standards of the population in Uganda, it is necessary to understand the effect of Uganda ’ s fiscal policy on inequality and poverty. This report uses the internationally comparable CEQ methodology to assess the individual and combined effects of taxes and public social spending, based on the microdata from the UNHS 2016 / 17 household survey. The main objective is to provide considerations for policy makers in terms of which fiscal instruments or, more specifically, which mix of fiscal instruments can contribute to reduce poverty and inequality. Overall, our results show that Uganda ’ s fiscal system is modestly equalizing. As a whole, taxes and transfers in 2016 / 17 reduced inequality by approximately 3. 23 Gini points. This result is comparable to Ghana, moderately lower than in Kenya and Tanzania, and much lower than the result observed for South Africa. The largest contributive factor to this equalizing effect is direct taxation (personal income tax or PAYE), followed by the education in-kind transfers (net transfers). This is not surprising, given the size of these fiscal interventions as a proportion of pre-fiscal income and their progressiveness. Direct transfers and social protection programs more generally contribute to the redistributive effect and are simulated as highly concentrated among the poorest households. Usage context: primary mention, background mention, supporting mention.

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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

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Input: are combined. The surveys follow a repeated cross-sectional design and are not panels (i. e. the same administrative units, not the same people, are re-sampled), so responses are aggregated to the groupement level, the lowest level at which the project consistently collect representative data. Table 2 provides a summary of the dates, sizes, and percent of respondents who report being displaced within each survey wave. This aggregated temporal analysis can show, associations between ﬂuctuations in displacement and perceptions of social cohesion over space and time at the groupement level. Question coverage varies across survey waves, but a battery of core questions enables consistent observation of how many individual respondents self-report being displaced at the time of the survey and being involuntarily moved within the past year. Poll Date N % Currently Displaced % Displaced Last Yr % Hosting Displacees # 11 July 2017 5834 4. 35 7. 42 – # 12 September-October 2017 4013 1. 62 2. 62 – # 13 December 2017 4883 3. 50 7. 97 – # 14 March-April 2018 1933 4. 97 8. 85 31. 35 # 15 June-July 2018 5951 3. 70 8. 35 30. 33 # 16 October 2018 1112 6. 47 4. 68 – # 17 December 2018 5918 5. 86 11. 20 – # 19 July-August 2019 5961 5

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