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Details
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| Country:
| Indonesia ; |
| Doc Name:
| Measuring changes in poverty : a methodological case study of Indonesia during an adjustment period |
| Keywords:
| assessing poverty,average income,average poverty,case study,consumption distribution,consumption expenditures,Consumption Growth,cpI,cumulative distribution,cumulative distribution function,data availability,density function,distribution function,Distributional effect,domestic savings,economic growth,ECONOMIC REVIEW,empirical results,employment,expenditure categories,expenditure cuts,expenditures,external shocks,farm households,food expenditures,functional form,Gini coefficient,Gini index,Growth effect,growth elasticity,growth rate,growth rates,head- count index,head-count index,household consumption,household consumption expenditures,household income,household survey,household surveys,income,income data,income levels,individual living standards,inequality,inequality measures,inflation,inflation rate,insurance,living standard,living standards,macroeconomic shocks,mean consumption,mean income,measured poverty,Measuring changes,measuring poverty,national accounts,nutrition,oil,per capita consumption,policy changes,policy implications,policy interventions,policy response,poor households,poor individuals,poor people,poor person,population share,population size,poverty alleviation,poverty analysis,poverty assessment,poverty assessments,poverty change,poverty comparisons,poverty gap,poverty gap index,poverty increase,poverty increases,poverty index,poverty level,poverty levels,poverty line,poverty lines,poverty measure,poverty measurement,poverty measures,poverty profiles,poverty reduction,private consumption,pro-poor,producers,public investment,public policies,public spending,purchasing power,purchasing power parity,relative contribution,relative gains,relative poverty,relative prices,rural areas,rural infrastructure,rural persons,rural poor,rural population,rural poverty,savings,short term,social services,structural adjustment,tax reforms,terms of trade,urban areas,Urban Households,urban population,urban poverty,wage rates. Poverty; Standard of living; Household surveys; External shocks; Poverty mitigation; Economic implications; Stochastic models; Methodology
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| Language:
| English |
| Major Sector:
| (Historic)Economic Policy |
| Region:
| East Asia and Pacific ; |
| Rep Title:
| Measuring changes in poverty : a methodological case study of Indonesia during an adjustment period |
| Sector:
| Macro/Non-Trade |
| Topics:
| Poverty Reduction |
| SubTopics:
| Environmental Economics & Policies ; Achieving Shared Growth ; Rural Poverty Reduction ; Poverty Assessment ; Safety Nets and Transfers |
| Unit Owning:
| Office of the Publisher (EXTOP) |
| Originating Unit:
| External Affairs, Communications & UN Affairs |
| Source Citation: | The World Bank economic review.
-- Vol. 5, no. 1(January 1991), pp. 57-82 |
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Abstract
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| Analysis of the effects of policy changes on the poor is often hindered by the difficulties inherent in measuring poverty and comparing levels of poverty before and after policy changes. This article outlines two techniques which can overcome many of these measurement problems: stochastic dominance conditions, which can facilitate a robust poverty ranking of distributions of living standards; and a decomposable poverty index, which allows measured changes in aggregate poverty to be disaggregated into their various components, such as the changes among population subgroups, and growth and redistributive components. These techniques can be applied to a wide range of indicators of economic well-being and poverty lines, and to assumptions about the poor. The approaches are illustrated using household survey data from Indonesia before and after external shocks and the subsequent structural adjustment program in the mid-1980s. The study finds that favorable initial conditions and pro-poor pattern of growth enabled Indonesia to maintain its momentum in poverty alleviation during the period. |
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PDF | 26 pages | Official Version | [1.82 mb] |
Text | | Text Version* | |
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