Other Poverty Study
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Publication
An Opportunity for All: Venezuelan Migrants and Refugees and Peru's Development
(World Bank, Lima, 2019-11-24) World BankFaced with the Venezuelan exodus of unprecedented magnitude in recent Latin American and Caribbean history, the main objective of this study is to determine the social, economic and sectoral implications that this phenomenon is having on Peru, in order to inform the public policy agenda with a view to development. The study presents an analysis which characterizes the different dimensions of the Venezuelan migration to Peru: from the trajectory to the country, the institutional reception and response framework, opportunities and challenges for social integration, gender dynamics, and the Venezuelan population’s access to services and insertion into the labor market. The analysis also provides recommendations that seek to contribute to the strengthening of a humane and orderly migration management, and to capitalize on the potential of an adequate integration of the migrant and refugee population in Peru. -
Publication
Armenia International Outmigration: An Exploration on the Effects on Armenian Households’ Welfare
(World Bank, Washington, DC, 2019-10-06) World BankThis report analyzes issues related to international migration in Armenia and its impact on Armenian households’ welfare. The report uses microdata coming from two recent household surveys, the 2017 Russian-Armenian University survey, a nationally-representative household focused on international migrants and their origin households, and the 2017 Integrated Living Conditions Survey, nationally representative household conducted by the Statistical Committee focused on welfare measurement but also with information on international migrants. The report finds that among international migrants, there are some slight differences in the profile of permanent and temporary migrants. Permanent migrants tend to be younger, more educated and are more likely to come from secondary cities, in contrast to temporary migrants, who are a bit older, less educated and are more likely to come from rural areas. Employment prospects for both groups are very limited the moment they leave the country, with employment rates around 25 percent. They tend to migrate largely to the Russian Federation, where they are hired almost exclusively by firms in the private sector. Temporary workers overwhelming work in the construction sector, while permanent workers show more diversity in sectors of employment. -
Publication
Informing the Refugee Policy Response in Uganda: Results from the Uganda Refugee and Host Communities 2018 Household Survey
(World Bank, Washington, DC, 2019-09-27) World BankThe recent refugee influx is testing Uganda’s approach to managing refugees. Ensuring the success of Uganda’s refugee response is crucial. This report analyzes the living conditions, wellbeing and socio-economic profile of refugees and host communities in Uganda in order to inform this policy response. -
Publication
Aspiring Indonesia—Expanding the Middle Class
(World Bank, Washington, DC, 2019-09) World BankIndonesia has seen tremendous progress in poverty reduction over the past couple of decades and, as a result, has made a successful transition from low-income to middle-income country status. As millions have moved out of poverty and extreme poverty, we have also witnessed the rise of Indonesia’s middle class, which now accounts for 20 percent of the total population, or 52 million Indonesians. This group important for Indonesia’s upward trajectory, but it still too small for the ambitions of Indonesia. Expanding the middle class will boost economic growth, strengthen an influential constituency for better governance, and widen and deepen the tax base. An expansion of the middle class, if accompanied by continued growth in the incomes of the poor and vulnerable, will also help to decrease inequality and prevent polarization of the country. One of the key development questions that Indonesia faces is how to expand the middle class. What will be required to bring the 115 million people who are no longer in poverty and vulnerability into the middle class? The future of Indonesia lies partly in the fate of this aspiring middle class, 45 percent of the population, so that they can both share in and help to drive the country’s growing prosperity. Government policy can play an instrumental role in expanding the middle class. This can be done by increasing the level and quality of education, and the skills of the population, and making sure there are well-paid jobs waiting for those in the aspiring middle class. It also means ensuring access to social protection to help lift these aspirers into the middle class and keep them there once they arrive, as well as improving the quality of the public services upon which they currently depend. Resolve to expand the middle class will place greater stress on government budgets. The government will need increasingly rely on the middle class, whose income taxes will finance much of the investment that a growing Indonesia will need. This will require a new social contract with the current – and future – middle class so that they will embrace the policies that both benefit themselves while also helping to expand their ranks, rather than closing off opportunities for others, and creating political polarization—as has occurred in some countries in the region in recent years. -
Publication
Poverty Map of the Palestinian Territories: Palestinian Expenditure and Consumption Survey 2016 and Census 2017
(World Bank, Washington, DC, 2019-09) Atamanov, Aziz ; Palaniswamy, NethraThis technical report describes the methodology and data used to produce small area poverty estimates for the Palestinian territories. The first section presents the methodology. The second section describes the data, and the technical challenges in estimating poverty at the locality level. The third section discusses selection of the best model, its performance and conducts validation exercises. The fourth section shows poverty and inequality estimates for different levels. -
Publication
September 2019 PovcalNet Update: What's New
(World Bank, Washington, DC, 2019-09) Atamanov, Aziz ; Castaneda Aguilar, R. Andres ; Diaz-Bonilla, Carolina ; Jolliffe, Dean ; Lakner, Christoph ; Mahler, Daniel Gerszon ; Montes, Jose ; Moreno Herrera, Laura Liliana ; Newhouse, David ; Nguyen, Minh C. ; Prydz, Espen Beer ; Sangraula, Prem ; Tandon, Sharad Alan ; Yang, JudyThe September 2019 global poverty update from the World Bank includes revised survey data which lead to minor changes in the most recent global poverty estimates. The update includes revisions to 18 surveys from four countries. As a result of the revised data, the estimate of the global 1.90 US Dollars headcount ratio for 2015 increases slightly from 9.94 percent to 9.98 percent, whereas the number of poor increases from 731.0 million to 734.5 million people. -
Publication
Developing Gender-Disaggregated Poverty Small Area Estimates: Technical Report
(World Bank, Washington, DC, 2019-06-18) World BankSmall area estimates of poverty and inequality statistics, through survey-to-census imputation that lets consumption be estimated for each and every household in a census, are useful for at least three reasons. First, they can help improve the effectiveness of public spending, by targeting to prevent the leakage of benefits to the non-poor (and prevent the under-coverage of the poor). If poor people are concentrated in certain areas, spatial targeting by directing extra development projects and public services to those areas, may be more feasible than trying to individually target the poor. Geographic targeting is highly relevant in countries like Timor Leste, where mountainous topography contributes to high levels of heterogeneity. In similar environments, such as Papua New Guinea, the enclave nature of some modern economic development has created high levels of spatial inequality. The basic details are that household survey data are used to estimate a model of consumption, with explanatory variables restricted to those that have overlapping distributions from a census. The coefficients from this model are then combined with the variables from the census, and consumption is predicted for each household in the census. With these predictions available for all households, inequality and poverty statistics can be estimated for small geographic areas (Elbers et al, 2003).2 In the results below, the poverty statistics that are calculated by using the predicted consumption data for each census household are reported at the suco level (n=442). For the headcount poverty rate, the standard errors at the suco level (relative to the poverty index) average one-quarter and so this is a comparable degree of precision to what the survey offered at the municipality level (n=13) for a variable like the poverty severity index. -
Publication
Living Conditions and Settlement Decisions of Recent Afghan Returnees: Findings from a 2018 Phone Survey of Afghan Returnees and UNHCR Data
(World Bank, Washington, DC, 2019-06) World Bank Group ; UNHCRThis report is the result of a collaboration between the United Nations High Commissioner for Refugees (UNHCR) and the Poverty and Equity Global Practice of the World Bank Group (WBG). Repatriation or the return of refugees to their country of origin has been rarely studied, and data on their socio-economic outcomes is sparsely available. In such a context, the World Bank and UNHCR teams attempted to make good use of the existing data sources and complemented it with new data collection methods to better understand the patterns and characteristics of recent Afghan refugee returns. More specifically, the team attempted to analytically connect insights between different data sources to explore (albeit imperfectly) questions of selection among Afghans who remained in Pakistan and those documented returnees who returned to Afghanistan. -
Publication
Informing Durable Solutions for Internal Displacement in Nigeria, Somalia, South Sudan, and Sudan: Technical Aspects
(World Bank, Washington, DC, 2019-04-18) World Bank GroupUnderstanding forced displacement and developing effective solutions requires closing several critical gaps in the data. With forced displacement rising worldwide, the body of work on displacement is growing rapidly. Data on internally displaced persons (IDPs) are particularly problematic, as the distinction between IDPs and internal migrants are not consistent across countries, and as the presence and number of IDPs is often politicized. While efforts have been made to create standardized frameworks for collecting quantitative data on forced displacement, important data gaps persist. This study helps to close data gaps by using micro-level data to profile IDPs. The report uses micro-data, defined as individual and household-level data that is collected directly through personal interviews. Comprehensive micro-data surveys cover IDP populations in four countries in Sub Saharan Africa: Nigeria, Somalia, South Sudan, and Sudan. The micro-data surveys represent IDPs, refugees, and non-displaced populations. The analysis is guided by the durable solutions indicator framework while the policy insights focus on overcoming displacement-induced vulnerability. The analysis examines the demographic structure of IDP and resident populations and draws on reasons triggering displacement. -
Publication
Informing Durable Solutions for Internal Displacement in Nigeria, Somalia, South Sudan, and Sudan: Country Case Studies
(World Bank, Washington, DC, 2019-04-18) World Bank GroupUnderstanding forced displacement and developing effective solutions requires closing several critical gaps in the data. With forced displacement rising worldwide, the body of work on displacement is growing rapidly. Data on internally displaced persons (IDPs) are particularly problematic, as the distinction between IDPs and internal migrants are not consistent across countries, and as the presence and number of IDPs is often politicized. While efforts have been made to create standardized frameworks for collecting quantitative data on forced displacement, important data gaps persist. This study helps to close data gaps by using micro-level data to profile IDPs. The report uses micro-data, defined as individual and household-level data that is collected directly through personal interviews. Comprehensive micro-data surveys cover IDP populations in four countries in Sub Saharan Africa: Nigeria, Somalia, South Sudan, and Sudan. The micro-data surveys represent IDPs, refugees, and non-displaced populations. The analysis is guided by the durable solutions indicator framework while the policy insights focus on overcoming displacement-induced vulnerability. The analysis examines the demographic structure of IDP and resident populations and draws on reasons triggering displacement.