ai4data/datause-dataset-rechunked huggingface dataset:
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.
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).
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.
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
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.
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.
- 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**
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.
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
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.
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
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
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.
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
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).
|Strategic<br>priorities<br>Modalities|Protection of civilians|Displacement|Access to services|
|---|---|---|---|
|<br>**Advocacy**| Monitoring and reporting<br>(civilians casualties, MRM)<br> Engagement with parties<br>to the conflict<br> Support to the NUG to<br>publish and implement its<br>National Policy on Civilian<br>Casualty Prevention and<br>Mitigation (Cf. PoC key<br>advocacy areas)| Support to DiREC<br> Information products<br> Briefing notes to<br>HC/HCT, GPC, Donors<br> Adherence to refugee<br>law especially with<br>regard to refoulement| Access to civil<br>documentation and<br>policies for the affected<br>population to be able to<br>access justice, education,<br>finance and inheritance<br>rights in the interim<br> Linkage with Citizen<br>Charter CDCs|
|<br>**Advocacy**|Protection monitoring|Protection monitoring|Protection monitoring|
|<br>**Advocacy**|HCT Protection strategy<br><br><br>|HCT Protection strategy<br><br><br>|HCT Protection strategy<br><br><br>|
|<br>**Access**| Conflict and stakeholder<br>analysis| Protection integration<br>in Health, FS,<br>Shelter/NFI,WASH,<br>cash based<br>programming| Communication and<br>information strategy|
|<br>**Access**|HAG - Negotiated access strategies of international actors|HAG - Negotiated access strategies of international actors|HAG - Negotiated access strategies of
cash based<br>programming| Communication and<br>information strategy|
|<br>**Access**|HAG - Negotiated access strategies of international actors|HAG - Negotiated access strategies of international actors|HAG - Negotiated access strategies of international actors|
|<br>**Access**|Partnership and capacity building of local actors|Partnership and capacity building of local actors|Partnership and capacity building of local actors|
|<br>**Access**|Establishment of Community Network|Establishment of Community Network|Establishment of Community Network|
|<br>**Access**|Mobile outreach and remote monitoring<br><br><br>|Mobile outreach and remote monitoring<br><br><br>|Mobile outreach and remote monitoring<br><br><br>|
|<br>**Protection **| Mine action| Protection assessment<br>and analysis<br> Alert system<br> Gender analysis<br> Preparedness| PSN Network<br>(Identification and<br>referral)<br> linkage with AIHRC to<br>address areas of human<br>trafficking, lack of access<br>to essential services and<br>justice through a human<br>rights lens|
|<br>**Protection **|Community Based<br>Measures<br>|Protection Mainstreaming in Health, FS, Shelter/NFI,<br>WASH, cash based programming<br><br>|Protection Mainstreaming in Health, FS, Shelter/NFI,<br>WASH, cash based programming<br><br>|
|<br>**Protection **| UNAMA PoC<br> Local advocacy| Assistance and<br>Mediation to issues<br>related to HLP| Child Protection (support<br>to CPANs, CFS
>|
|<br>**Protection **| UNAMA PoC<br> Local advocacy| Assistance and<br>Mediation to issues<br>related to HLP| Child Protection (support<br>to CPANs, CFS, packet of<br>services)<br>  GBV capacity<br>(Identification and<br>referral),legal assistance<br> Access to tazkera|
|<br>**Protection **|Call center|Call center|Call center|
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