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As the financial crisis has spread through the world, the lack of real-time data has made it difficult to track its impact in developing countries. This paper uses a micro-simulation approach to assess the poverty and distributional effects of the crisis in the Philippines. The authors find increases in both the level and the depth of aggregate poverty. Income shocks are relatively large in the middle part of the income distribution. They also find that characteristics of people who become poor because of the crisis are different from those of both chronically poor people and the general population. The findings can be useful for policy makers wishing to identify leading monitoring indicators to track the impact of macroeconomic shocks and to design policies that protect vulnerable groups.
Achieving Shared Growth --- Chronically poor --- Distributional effects --- Economic growth --- Economic Theory & Research --- Food price --- Impact on poverty --- Incidence of poverty --- Income --- Income distribution --- Income inequality --- Income poverty --- Inequality --- Labor Policies --- Macroeconomic shocks --- Macroeconomics and Economic Growth --- Poor --- Poor people --- Poverty rates --- Poverty Reduction --- Regional Economic Development --- Rural --- Rural poverty --- Rural poverty rate --- Rural Poverty Reduction --- Social Protections and Labor --- Unemployment
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As the financial crisis has spread through the world, the lack of real-time data has made it difficult to track its impact in developing countries. This paper uses a micro-simulation approach to assess the poverty and distributional effects of the crisis in the Philippines. The authors find increases in both the level and the depth of aggregate poverty. Income shocks are relatively large in the middle part of the income distribution. They also find that characteristics of people who become poor because of the crisis are different from those of both chronically poor people and the general population. The findings can be useful for policy makers wishing to identify leading monitoring indicators to track the impact of macroeconomic shocks and to design policies that protect vulnerable groups.
Achieving Shared Growth --- Chronically poor --- Distributional effects --- Economic growth --- Economic Theory & Research --- Food price --- Impact on poverty --- Incidence of poverty --- Income --- Income distribution --- Income inequality --- Income poverty --- Inequality --- Labor Policies --- Macroeconomic shocks --- Macroeconomics and Economic Growth --- Poor --- Poor people --- Poverty rates --- Poverty Reduction --- Regional Economic Development --- Rural --- Rural poverty --- Rural poverty rate --- Rural Poverty Reduction --- Social Protections and Labor --- Unemployment
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November 1999 - Changes in Poland's family allowances and unemployment benefits have significant but different effects on different groups of households. In deciding on strategies to address long-term poverty, policymakers must take such differences into account. Okrasa analyzes how the incidence of household endowments and the allocation of social benefits affect families' transitions into and out of poverty. Using panel data for 1993-96 from Poland's Household Budget Survey, and a framework based on sample survival analysis techniques, Okrasa evaluates how various policies will affect households with specific characteristics that make them likely to become poor or to move out of poverty under different scenarios (including whether or not they receive a given amount of a particular type of social transfer). He also discusses how nonincome sources of welfare, such as savings, credits, and loans, affect the likelihood that families will become or stop being poor. He concludes that family allowances and unemployment benefits, the two major social programs analyzed, have significant but different effects on different groups of households (characterized in terms of the age, gender, marital status, and educational attainment of the head of household; the size, type, location, and sector of employment of the family or household; and the year in which the household fell into poverty). If the share of family allowances in total household income were reduced by 1 percent, for example, the average length of poverty would be increased by roughly 2 percent. But a 1 percent change in unemployment benefits would yield a 3 percent change in the average duration of poverty. Differences in hazard rates for various subgroups would be even greater. Households in villages were much more likely to fall into poverty than households in cities and large towns, but the poor in towns and cities had more difficulty exiting poverty. There was generally less poverty mobility among households headed by public sector employees than among those headed by employees in the private sector. Families with three or more children and one-parent families (and grandparents with children) faced the greatest risk of being poor; single-person households and childless married couples were the least endangered. Small nuclear families with one or two children and families without children fell between these two extremes. This paper - a product of Poverty and Human Resources, Development Research Group - is part of a larger effort in the group to analyze the dynamics of poverty and the effectiveness of the safety net. The study was funded by the Bank's Research Support Budget under the research project Household Welfare Change during the Transition (RPO 681-21). The author may be contacted at wokrasa@worldbank.org.
Chronically Poor --- Economic Growth --- Health, Nutrition and Population --- Household Budget --- Household Income --- Human Development --- Income --- Measures --- Poor --- Poor Households --- Population Policies --- Poverty --- Poverty Dynamics --- Poverty Index --- Poverty Profile --- Poverty Reduction --- Rural --- Rural Areas --- Rural Development --- Rural Poverty Reduction --- Safety Nets and Transfers --- Savings --- Services and Transfers to Poor --- Social Policies --- Social Programs --- Social Protections and Labor --- Temporarily Poor --- Unemployment
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August 1995 - In urban areas of Cote d'Ivoire, human capital is the endowment that best explains welfare changes over time. In rural areas, physical capital - especially the amount of land and farm equipment owned - matters most. Empirical investigations of poverty in developing countries tend to focus on the incidence of poverty at a particular point in time. If the incidence of poverty increases, however, there is no information about how many new poor have joined the existing poor and how many people have escaped poverty. Yet this distinction is of crucial policy importance. The chronically poor may need programs to enhance their human and physical capital endowments. Invalids and the very old may need permanent (targeted) transfers. The temporarily poor, on the other hand, may best be helped with programs that complement their own resources and help them bridge a difficult period. Results from analyses of panel surveys show significant mobility into and out of poverty and reveal a dynamism of the poor that policy should stimulate. Understanding what separates chronic from temporary poverty requires knowing which characteristics differentiate those who escape poverty from those who don't. In earlier work, Grootaert, Kanbur, and Oh found that region of residence and socioeconomic status were important factors. In this paper they investigate the role of other household characteristics, especially such asset endowments as human and physical capital, in the case of Cote d'Ivoire. In urban areas of Cote d'Ivoire, human capital is the most important endowment explaining welfare changes over time. Households with well-educated members suffered less loss of welfare than other households. What seems to have mattered, though, is the skills learned through education, not the diplomas obtained. Diplomas may even have worked against some households in having oriented workers too much toward a formal labor market in a time when employment growth came almost entirely from small enterprises. In rural areas, physical capital - especially the amount of land and farm equipment owned - mattered most. Smallholders were more likely to suffer welfare declines. Households with diversified sources of income managed better, especially if they had an important source of nonfarm income. In both rural and urban areas, larger households suffered greater declines in welfare and households that got larger were unable to increase income enough to maintain their former welfare level. Households whose heads worked in the public sector maintained welfare better than other households, a finding that confirms earlier observations. The results also suggest that government policies toward certain regions or types of household can outweigh the effects of household endownments. Surprisingly, migrant non-Ivorian households tended to be better at preventing welfare losses than Ivorian households, while households headed by women did better than those headed by men (after controlling for differences in or changes in endowment). The implications for policymakers? First, education is associated with higher welfare levels and helps people cope better with economic decline. Second, targeting the social safety net to larger households - possibly through the schools, to reach children - is justified in periods of decline. Third, smallholders might be targeted in rural areas, and ways found to encourage diversification of income there. This paper - a joint product of the Social Policy and Resettlement Division, Environment Department, and the Africa Regional Office, Office of the Chief Economist - is the result of a research project on The Dynamics of Poverty: Why Some People Escape Poverty and Others Don't, A Panel Analysis for Cote d'Ivoire (RPO 678-70).
Chronically Poor --- Communities & Human Settlements --- Debt Markets --- Economic Policies --- Economic Theory and Research --- Farm Size --- Finance and Financial Sector Development --- Financial Literacy --- Household Income --- Household Size --- Household Welfare --- Housing and Human Habitats --- Human Capital --- Incidence Of Poverty --- Income --- Investment and Investment Climate --- Macroeconomics and Economic Growth --- New Poor --- Nonfarm Income --- Old Age --- Poor People --- Poverty --- Poverty Diagnostics --- Poverty Incidence --- Poverty Lines --- Poverty Monitoring and Analysis --- Poverty Reduction --- Rural --- Rural Areas --- Rural Development --- Rural Poverty Reduction --- Targeting --- Temporarily Poor --- Transfers
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