Publication: What Is Behind The Decline in Poverty Since 2000? Evidence from Bangladesh, Peru, and Thailand
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2012-10
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2012-10
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This paper quantifies the contributions of different factors to poverty reduction observed in Bangladesh, Peru and Thailand over the last decade. In contrast to methods that focus on aggregate summary statistics, the method adopted here generates entire counterfactual distributions to account for the contributions of demographics and income from labor and non-labor sources in explaining poverty reduction. The authors find that the most important contributor was the growth in labor income, mostly in the form of farm income in Bangladesh and Thailand and non-farm income in the case of Peru. This growth in labor incomes was driven by higher returns to individual and household endowments, pointing to increases in productivity and real wages as the driving force behind poverty declines. Lower dependency ratios also helped to reduce poverty, particularly in Bangladesh. Non-labor income contributed as well, albeit to a smaller extent, in the form of international remittances in the case of Bangladesh and through public and private transfers in Peru and Thailand. Transfers are more important in explaining the reduction in extreme compared with moderate poverty.
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“Inchauste, Gabriela; Olivieri, Sergio; Saavedra, Jamie; Winkler, Hernan. 2012. What Is Behind The Decline in Poverty Since 2000? Evidence from Bangladesh, Peru, and Thailand. Background Paper for the World Development Report 2013;. © World Bank. http://hdl.handle.net/10986/12149 License: CC BY 3.0 IGO.”
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Publication What is Behind the Decline in Poverty Since 2000? Evidence from Bangladesh, Peru and Thailand(World Bank, Washington, DC, 2012-09)This paper quantifies the contributions of different factors to poverty reduction observed in Bangladesh, Peru and Thailand over the last decade. In contrast to methods that focus on aggregate summary statistics, the method adopted here generates entire counterfactual distributions to account for the contributions of demographics and income from labor and non-labor sources in explaining poverty reduction. The authors find that the most important contributor was the growth in labor income, mostly in the form of farm income in Bangladesh and Thailand and non-farm income in the case of Peru. This growth in labor incomes was driven by higher returns to individual and household endowments, pointing to increases in productivity and real wages as the driving force behind poverty declines. Lower dependency ratios also helped to reduce poverty, particularly in Bangladesh. Non-labor income contributed as well, albeit to a smaller extent, in the form of international remittances in the case of Bangladesh and through public and private transfers in Peru and Thailand. Transfers are more important in explaining the reduction in extreme compared with moderate poverty.Publication Understanding Changes in Poverty(World Bank Group, Washington, DC, 2014-08-12)Understanding Changes in Poverty brings together different methods to decompose the contributions to poverty reduction. A simple approach quantifies the contribution of changes in demographics, employment, earnings, public transfers, and remittances to poverty reduction. A more complex approach quantifies the contributions to poverty reduction from changes in individual and household characteristics, including changes in the sectoral, occupational, and educational structure of the workforce, as well as changes in the returns to individual and household characteristics. Understanding Changes in Poverty implements these approaches and finds that labor income growth that is, growth in income per worker rather than an increase in the number of employed workers was the largest contributor to moderate poverty reduction in 21 countries experiencing substantial reductions in poverty over the past decade. Changes in demographics, public transfers, and remittances helped, but made relatively smaller contributions to poverty reduction. Further decompositions in three countries find that labor income grew mainly because of higher returns to human capital endowments, signaling increases in productivity, higher relative price of labor, or both. 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Using counterfactual simulations, this paper accounts for the contribution labor income has made to the observed changes in poverty over the past decade for a set of 16 countries that have experienced substantial declines in poverty. In contrast to methods that focus on aggregate summary statistics, the analysis generates entire counterfactual distributions that allow assessing the contributions of different factors to observed distributional changes. Decompositions across all possible paths are calculated so the estimates are not subject to path-dependence. The analysis shows that for most countries in the sample, labor income is the most important contributor to changes in poverty. In ten of the countries, labor income explains more than half of the change in moderate poverty; in another four, it accounts for more than 40 percent of the reduction in poverty. 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