ai4data/datause-dataset-rechunked huggingface dataset:
Beneficiary assessments revealed significant differences in protection concerns between newly arrived and long-staying refugees: new arrivals cited documentation and freedom of movement as primary concerns, while long-stayers reported livelihood insecurity and access to education as more pressing. These findings from the beneficiary assessments were used to differentiate the intensity and content of case management services offered to households by time-since-arrival cohort. Cohort-specific program designs are reflected in the operational manual's guidance for intake officers.
Table 2 presents summary statistics for the ENILEMS-ENLACE panel dataset. Columns

12 ENLACE scores than individuals out of college (by around 0.38 SD), but they are also

We are interested in the predictive power of ENLACE test scores over future schooling

individual's ENLACE test score in Grade 6 as a predictor of future education outcomes or

We use the ENLACE panel to study the relationship between Grade 6 test scores
Several studies have examined the benefits of rural electrification in India. For example, van de Walle et al. (2015) estimate the long-run effects of electrification on household consumption in rural India based on data for 1981-98; Burlig and Preonas (2016) investigate the effect of India's national rural electrification program on labor force participation, living standards, and other village-wide outcomes using census data for 2001 and 2011; and Khandker et al. (2014) estimate the benefits of electrification projects in rural India based on cross-sectional data for 2005.

For example, using night lights data, Min and Gaba (2016) show that many villages in India that were officially classified as electrified under the RGGVY program remained in the dark for years after the completion of electrification projects.

This paper estimates the welfare impact of rural electrifi cation in India using nationally representative household panel survey data for 2005 and 2012.
labor markets shape the employment trajectories of refugees. Restrictions on land access for refugees restrict their access to rural labor markets, primarily shaped by agricultural activities. Livelihood activities in cities or work similar to that found in urban areas are most promising for refugees to utilize their labor and skills. Yet, many refugee camps are in more agrarian locations, and local labor market characteristics and connectivity drive refugees’ labor market outcomes (Hedberg and Tammaru, 2013; Kalter and Kogan, 2014; Kogan and Kalter, 2020; Schuettler and Caron, 2020; Dorian and Burmann, 2023). The GoE vision to create sustainable livelihood opportunities and build refugees’ self-reliance and resilience has yet to be fully implemented; roughly 88 percent of refugees in Ethiopia remain in camps based on SESRE data. Globally, approximately one- quarter of all refugees live in camps, a proportion that varies widely by country income status. Roughly half of refugees hosted in low-income countries live in camps (UNHCR, 2022b), but this share is much higher in Ethiopia (88 percent). Long-term encampment policies leave refugees isolated with limited or no economic rights, a situation that wastes their human capital and capacity for work (World Bank, 2017; Ibáñez et al., 2022). Although it may
cash transfer value from Oct 2022_refugee camps” file received from the WFP document that helps to get information regarding the changes in cereal cash equivalent – data on cereal cash equivalent for cash camps which is used to calculate cereals provided in those camps and cash transfer value per year. Based on this information, we compare how the list shared with us on what refugees should have received to what they reported regarding food consumption. Table E.4: Food aid data/information received from WFP Item Remark Assumptions Cereal Not clear Mapped to wheat* Pulse Not clear Mapped to peas* Vegetable oil Mapped to edible oil CSB/famex (CSB+) Not in SESRE Average of other cereals/pulses Salt Matched Cash - - Source: UNHCR Note: Rice was distributed for some months in Afar and Somali Dollo area camps, though wheat remained the main cereal distributed. YSP (Yellow Split Pea) was the main pulse distributed among refugees and their best-preferred pulse. CSB is a corn soya blend with added essential micronutrients and vitamins called super cereal. Based on this information, we compare how the distribution list shared what refugees should have received to what they reported regarding food consumption. The results show that refugees reported
9 where a government might be a real or perceived contributor to displacement or is harboring an overt or covert policy to reduce the number of refugees in the country. With limited results in including FDPs in national sampling frames, alternative approaches remain necessary. The UNHCR, the World Bank and numerous scholars and practitioners worldwide are experimenting with satellite images and phone surveys to try detecting refugee and IDP populations that may escape the UNHCR and national registers with some initial encouraging results. In Lebanon, Jordan and the Kurdistan region of Iraq, Aguilera et al. (2020) designed sampling strategies for Syrian refugees with known ex-ante selection probabilities. They used a variety of data sources, including data collected by humanitarian agencies, and also employed geospatial segmenting to create enumeration areas where they did not exist. Systematic field experiments are also underway to test different sampling approaches for IDPs living in camps. For example, Himelein, Pape and Wild (forthcoming) compare the performance of five alternative sampling approaches (satellite mapping, segmentation, grid squares, “ Qibla method, ” and random walk). Different indicators are assessed including household size, consumption, poverty and ownership of assets.
**5.2 Geospatial Data Integration in M&E**

Geospatial data from the national statistics office's 2020 census cartographic database have been integrated into the MIS to enable automatic generation of geographic coverage reports. When a community is registered in the MIS, its geographic code is linked to the corresponding census enumeration area boundary in the geospatial data layer, allowing the M&E team to produce maps of beneficiary coverage against the total population of each target district without additional data processing.
Figure 17: Peace and Foreign Inﬂow Across Cut-oﬀs and Data Sources The basic results are in Table 8 which shows results for equation (9) using the threshold of 0. 008 battle-related deaths per 1000 population. According to this the investment from OECD countries was almost 70 percent larger in peacetime than during conﬂict. The ﬂows from other data sources shows an increase of between 35 and 50 percent. The consistency of this result across very diﬀerent datasets is striking. Note also that the average change in inﬂows implied by these rates is very large. In 2012, average inﬂows in the World Bank dataset were over 9. 5 billion USD and over 3 billion USD in the OECD data. Our estimates therefore imply a gain of between 2 billion and 4 billion USD in yearly inﬂows for countries which emerge from conﬂict. In order to understand the dynamics of recovery it is useful to understand the dynamics of this change around the end of conﬂict. For this purpose we add a set of dummies to the equation above. We construct a dummy that indicates the start of recovery and add three forward and lag dummies to trace average investment around this date. As before we always lag the explanatory variables by one year. Results for the OECD data are shown in Figure 18.
Institutional arrangements would need to delineate data collector and data compiler roles, as well as reflect the following principles to ensure sustainability: (a) Pursue additional activities within the overall framework of existing initiatives to ensure coherence with the activities of other actors. (b) Primary responsibility for data collection rests with national statistical agencies (with adequate arrangements in the case of IDPs to mitigate political risks). (c) Definitions and methodologies should be harmonized across countries, through a process managed under the auspices of the UN Statistical Commission. (d) Agencies such as UNHCR and IDMC can play a leading role in ensuring quality, providing technical assistance as may be needed, and aggregating data for global analyses. 102 See http: / / www. internal-displacement. org / database. 103 See http: / / unstats. un. org / unsd / statcom / doc15 / 2015-9-RefugeeStats-E. pdf. 104 See conference documentation at http: / / www. efta. int / seminars / refugee. 105 See http: / / unstats. un. org / unsd / statcom / 47th-session / documents / 2016-14-Refugee-statistics-E. pdf.
3 trust in the government and its institutions and perspectives on conflict resolution. By analyzing the impact of the crisis on welfare, the consequences of returning home versus remaining in displacement and by comparing immediate with longer term impacts, this paper contributes to the literature on refugee, IDP and returnee populations. The paper combines data from a face-to-face baseline survey with information collected via mobile phone interviews from respondents identified during the baseline. This innovative approach to data collection makes it possible to collect welfare data with high frequency (monthly) – important in a volatile crisis situation – and allows measuring changes over time. It also permits following displaced and refugee households once they return, even if they return to areas that are inaccessible to enumerators. The remainder of this paper is organized as follows. Section 2 provides a brief overview of the methodology, the sample and sample selection. Section 3 discusses the characteristics of the displaced and returnees, looking specifically at ethnic composition, place of origin, household size, education, asset ownership and employment status. Section 4 considers how the crisis affected food consumption, employment, assets and school attendance. Section 5 is devoted to the specificities of returnees who turn out to be, on aggregate, less affected by the crisis and better off than IDPs or refugees.
Expenditure). In the calculation, values for the measuring poverty rate (P) and design factor (deft) 1.5, the expected Relative Standard Error (RSE) of 4.63%, and finally, an adjusted Response Rate of 99% at a 95% Confidence level used to represent the expected precision is acceptable at the domain level. To select a representative sample from this population, first, the initial sample size was determined by using the following scientific formula: where the deft is the design factor defined as the ratio between the square root of standard error using the given sample design and the standard error resulting from a simple random sample used. Based on the above scenario, total sample size =3,456 Households, and EAs = 288 . An equal allocation method was used to ensure that the survey precision was comparable across domains, where 36 EAs were selected from each domain. Based on a fixed sample take of 12 households per cluster, Equal Allocation formula Where: = total number of sample households and = Number of sample households allocated to stratum Table C.1: The distribution of sampled and surveyed households by domains EA HH Sampled Covered Sampled Covered Eritrean refugee domain 36 36 432 432 Somalian refugee domain
15 We followed Anginer, Demirgüç-Kunt, and Zhu's (2013) methodology and computed the index by aggregating the answers to 14 selected questions on supervisory powers that were collected in the 2003, 2007 and 2011 surveys conducted by Barth, Caprio, and Levine (2008). 16 The methodology for assessing central banks' FSRs was introduced by Čihák (2006) in the first worldwide survey of FSRs. 17 Alternatively, one could use as the control the availability or even better the actual implementation of macroprudential tools prior to the 2008 crisis.

It derives from the database developed by Melecky and   Podpiera (2013) and the Bank Regulation and Supervision Surveys carried out by the World Bank in

empirical link between a simple publication of FSRs and financial stability. The data on FSR publication

are available for only 78 countries, covering 22 of the 25 crisis countries. The data on the quality of FSRs
Sarvimaki (2011) uses the elements of the government ’ s placement policy as instruments (i. e. the proportion of a municipality ’ s population speaking Swedish and the hectares of potential agricultural land). Other authors focus instead on the counterfactual group testing alternative designs of the control group, sometimes including placebo groups and other times recurring to matching methods. The choice of matching methods varies from ordinary methods such as nearest neighbor to more recent advances such as Synthetic Control Methods (Abadie and Gardeazabal, 2003). The inclusion of fixed effects is common to almost all papers although the choice of fixed effects can be very different, as described above. Only one paper uses Fixed Effects (FE) and Random Effects (RE) formal models in conjunction and tests for differences (Esen and Binatli 2017). Cross-section econometrics is, by far, the method of choice even if time is included into the equations but we also found three papers employing time-series models (Carrington and de Lima 1996, Makela 2017, Fakih and Ibrahim 2015). Only few papers are able to exploit panel data (Foged and Peri 2015, Depetris-Chauvin and Santos 2017) and several of them use the same data set (Maystadt and Duranton 2018, Maystadt and Verwimp 2014; Ruiz and Vargas-Silva 2015, 2016, 2017).
**Annex 9: Implementation Support Plan**

World Bank supervision missions will be conducted biannually and will focus on: (i) review of implementation progress against the results framework; (ii) fiduciary compliance, including review of IFRs and audit reports; (iii) environmental and social risk management, including field visits to at least two active subproject sites; and (iv) assessment of data quality for MIS-generated indicators. Between missions, task team members will maintain monthly contact with PIU coordinators via video conference and review outputs from the activity monitoring dashboard.
Figure A2: Refugees a burden for SSA? Panel A: Not weighted by economic capacity
hinders future prospects. Globally in 2019, almost half of all refugee children were out of school (UNHCR, 2020d). Of those attending school, most do not make it past basic education; gross enrolment in primary education stood at 77 percent in 2019. Yet, the contrast between primary and secondary school enrolment remains stark, and only 31 percent of refugee children were enrolled in secondary school, much below the global average of secondary school enrolment. A recent study of refugee children in Kakuma refugee camp in Kenya, for example, found that literacy and learning outcomes for refugee children were significantly lower than in immediate host community or the rest of Kenya (Piper et al., 2020). This report shows that education outcomes for children in Ethiopia are low across all population groups and ages but particularly for refugee children. COVID-19 exacerbated this situation for many refugee children (Wieser, 2020). 1.2 How does Socio-Economic Survey of Refugees in Ethiopia (SESRE) contribute to the debate on policies? The Socio-Economic Survey of Refugees in Ethiopia (SESRE) is a representative survey of the refugee population in Ethiopia and their host communities, the first of its kind.9 Ethiopia made significant progress over the past few years in articulating
13 The 2007 Liberia DHS asks respondents “ During the war, did you leave your house? ”- a question intended to explore whether respondents moved to a camp, lived in the bush or faced another form of displacement because of conflict. Those respondents who answered “ yes ” to this question were classified as forcibly displaced. It is noteworthy that this question was followed by a question about where the respondent was displaced. Answers included: stayed with relatives or friends inside Liberia; went to a camp; living in the bush; went outside Liberia. However, respondents could choose multiple of these options. For this reason, the first question was chosen as the most simple and accurate measure of displacement. Conflict at the District-Level Previous studies have used number of conflict fatalities as an effective proxy for levels of political instability (Kelly, 2018), since fatalities are the most definitive and violent measure of armed conflict. In addition, since the UCDP and ACLED data sets code conflict events differently, fatality measures were the most comparable between the data sets. For both UCDP and ACLED, the conflict was coded as 1 if women lived in a district with conflict fatalities and 0 if she did not.
Ghana is experiencing its third gold rush, and this paper sheds light on the socioeconomic impacts of this rapid expansion in industrial production. Using a rich data­set consisting of geocoded household data combined with detailed information on gold mining activities, the authors conduct two types of difference-in-differences estimations that provide complementary evidence. The first is a local-level analysis that identifies an economic footprint area very close to a mine, and the second is a district-level analysis that captures the fiscal channel. The results indicate that men are more likely to benefit from direct employment as miners compared to men further away, and that women in mining communities may more likely gain from indirect employment opportunities and earn cash for work. Authors also find that infant mortal­ity rates decrease significantly in mining communities, compared to the evolution in communities further away.
Refugee Policies on Self-Reliance and Resilience. Journal of Refugee Studies, 33(1), 22-41. Kvittingen A., Valenta M., Tabbara H., Baslan D., and Berg B. (2018). The Conditions and Migratory Aspirations of Syrian and Iraqi Refugees in Jordan. Journal of Refugee Studies 32(1), 106-124. https://doi.org/10.1093/jrs/fey015. Lebow, J. (2023). Immigration and Occupational Downgrading in Colombia. Journal of Development Economics, Forthcoming Levenson, H. (1981). Differentiating among Internality, Powerful Others, and Chance. Research with the Locus of Control Construct, 1, 15-63. Liu, D. and Kwan, M. (2020). Measuring Spatial Mismatch and Job Access Inequity Based on Transit-Based Job Accessibility for Poor Job Seekers. Travel Behaviour and Society, 19, 184-193. https://doi.org/10.1016/j.tbs.2020.01.005 ESS and World Bank. (2023). Ethiopia Socioeconomic Panel Survey Report – Wave 2, 2021/22. Marbach, M., Hainmueller, J., Hangartner, D. (2018). The Long-Term Impact of Employment Bans on the Economic Integration of Refugees. Science Advances, 4. https://doi.org/10.1126/sciadv.aap9519. Martin, S. F. (2010). The Causes and Consequences of Forced Migration. Paper presented at the Annual Meeting of the Population Association of America, Dallas, TX. Maystadt, J. F., and Verwimp, P. (2014). Winners and Losers among a Refugee-Hosting Population. Economic Development and Cultural Change, 62(4), 769-809. MoE. (2022). Education Statistics Annual Abstract (ESAA). MoE MoLSA. (2019). Revised Directives
The activity monitoring dashboard displays three traffic-light indicators for each of the four project components: disbursement rate against plan, beneficiary registration progress, and grievance resolution rate. Components rated yellow have fallen 10–20 percent below target; red indicates more than 20 percent below target and triggers an escalation report to the Bank within five business days. At the end of Q3, Component 1 was rated green on all three indicators, Component 2 yellow on disbursement, and Components 3 and 4 green.
_Source_ : EM-DAT (2008) _Notes_ : Figures greater than 1,000 such as the total number affected by storm in 1995 (  1,145 affected per 1,000 people) are possible due to instances where there are multiple occurrences of a particular disaster in one country in a given year.

This paper presents a set of estimates of the impacts of natural disasters on different forms of capital (physical, human, natural and energy), and thereby on real GDP per capita. The capital database is compiled by the World Bank for three periods - 1995, 2000 and 2005 and for 210 countries. This was combined with data on four types of natural disasters - droughts earthquakes, floods, and hurricanes/storms - for 196 countries, taken from the Emergency Events Database (EM-DAT). The disasters database lists a total of 55 events of drought, 82 events of earthquake, 447 events of flood and 303 events of storm that started during the three years of 1995, 2000 and 2005.

Emergency Events Database (EM-DAT). 2008. _Data on Natural Disasters by type_ . Centre for Research on the Epidemiology of Disasters (CRED), School of Public Health of the Université Catholique de Louvain, Brussels, Belgium.
rents to GDP from WDI), we can implicitly compute 𝛾.

Source:_
_Penn World Tables 9.0 (Feenstra, Inklaar and Timmer 2015)._


Figure 2 plots the sources of growth for the Sub-Saharan Africa region as well as the different groups according

Source: Penn World Tables 9.0 (Feenstra, Inklaar and Timmer 2015)._

Frankel, J. A., & Romer, D. H. (1999). "Does trade cause growth?" American Economic Review 89(3): 379-399.

reported in the Penn World Tables 9.0 (Feenstra, Inklaar and Timmer 2015). [15]
12 of the most fragile countries where due to security concerns, physical access to reach them is restricted. Furthermore, many IDPs do not live in camps but rather mix with other population groups particularly in urban areas, thereby making it even more difficult to identify them (Baal and Ronkainen 2017). Figure 4: Number of IDP datasets vis-à-vis size of IDPs hosted by country A) Number of IDP datasets and number of IDP (ln) B) Number of IDP datasets by country Notes: Panel A shows the bivariate relationship between the number of IDP datasets and number of IDPs (log-transformed). Panel B shows the ranking of countries in terms of the number of IDP datasets available in the MDLs. Note that some survey datasets are stored as separate entries in the UNHCR and WB MDLs even though they are indeed part of the same survey (e. g., entries by camp or by wave). Those independent entries are counted as one dataset when they are part of the same survey, thus resulting in a total number of 22 IDP datasets excluding those datasets that are project specific or collected before 2010. Topic coverage In terms of the coverage of topics, FDP datasets are relatively richer in topics such as coping mechanisms, protection, water and sanitation, food insecurity, and health.
The GLSS poverty module follows the Foster-Greer-Thorbecke poverty measurement framework, using the national absolute poverty line established by the Ghana Statistical Service. The GLSS consumption aggregate includes food and non-food expenditure, imputed rental values for owner-occupied housing, and the estimated value of in-kind transfers. The GLSS poverty line is set at the 2005/06 prices and updated using a spatial price deflator that accounts for urban-rural and regional price differences. All welfare estimates in this paper use GLSS analytical weights and are adjusted for adult equivalence.
13 Figure 5. Share of refugees hosted in camps, 2013 Source: Authors ’ presentation based on UNHCR Global Trends 2013 (UNHCR 2014). In summary, investigating the recent trends in forced displacement in Sub ‐ Saharan Africa points to the regional nature of this displacement, emphasizing the unfortunate increase in refugee movements in Eastern Africa over the most recent years. Such regional emphasis also takes some distance from the widespread view that refugees are mainly moving to Europe or other developed countries. In 2013, about 3. 7 million refugees originated from SSA but about 5. 6 million were hosted there. Most refugees from SSA remain in Africa. Refugees are mainly hosted in camps in peripheral and poor areas. The next sections will explore how refugees and hosting communities are affected by such forced displacement.