Who Escaped Poverty and Who Was Left Behind? : A Non-Parametric Approach to Explore Welfare Dynamics Using Cross-Sections
This paper proposes a non-parametric adaptation of a recently developed parametric technique to produce point estimates of intra-generational economic mobility in the absence of panel data sets that follow individuals over time. The method predicts...
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World Bank, Washington, DC
2017
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| Online Access: | http://documents.worldbank.org/curated/en/608131508157256196/Who-escaped-poverty-and-who-was-left-behind-a-non-parametric-approach-to-explore-welfare-dynamics-using-cross-sections http://hdl.handle.net/10986/28555 |
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okr-10986-285552021-06-14T10:11:24Z Who Escaped Poverty and Who Was Left Behind? : A Non-Parametric Approach to Explore Welfare Dynamics Using Cross-Sections Lucchetti, Leonardo POVERTY WELFARE DYNAMICS POVERTY TRANSITIONS SYNTHETIC PANEL This paper proposes a non-parametric adaptation of a recently developed parametric technique to produce point estimates of intra-generational economic mobility in the absence of panel data sets that follow individuals over time. The method predicts past individual income or consumption using time-invariant observable characteristics, which allows the estimation of mobility into and out of poverty, as well as household-level income or consumption growth, from cross-sectional data. The paper validates this method by sampling repeated cross-sections out of actual panel data sets from three countries in the Latin America region and comparing the technique with mobility from panels. Overall, the method performs well in the three settings; with few exceptions, all estimates fall within the 95 percent confidence intervals of the panel mobility. The quality of the estimates does not depend in general on the sophistication level of the underlying welfare model's specifications. The results are encouraging even for those specifications that include few time-invariant variables as regressors. 2017-10-20T21:41:09Z 2017-10-20T21:41:09Z 2017-10 Working Paper http://documents.worldbank.org/curated/en/608131508157256196/Who-escaped-poverty-and-who-was-left-behind-a-non-parametric-approach-to-explore-welfare-dynamics-using-cross-sections http://hdl.handle.net/10986/28555 English en_US Policy Research Working Paper;No. 8220 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Latin America & Caribbean |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
POVERTY WELFARE DYNAMICS POVERTY TRANSITIONS SYNTHETIC PANEL |
| spellingShingle |
POVERTY WELFARE DYNAMICS POVERTY TRANSITIONS SYNTHETIC PANEL Lucchetti, Leonardo Who Escaped Poverty and Who Was Left Behind? : A Non-Parametric Approach to Explore Welfare Dynamics Using Cross-Sections |
| geographic_facet |
Latin America & Caribbean |
| relation |
Policy Research Working Paper;No. 8220 |
| description |
This paper proposes a non-parametric
adaptation of a recently developed parametric technique to
produce point estimates of intra-generational economic
mobility in the absence of panel data sets that follow
individuals over time. The method predicts past individual
income or consumption using time-invariant observable
characteristics, which allows the estimation of mobility
into and out of poverty, as well as household-level income
or consumption growth, from cross-sectional data. The paper
validates this method by sampling repeated cross-sections
out of actual panel data sets from three countries in the
Latin America region and comparing the technique with
mobility from panels. Overall, the method performs well in
the three settings; with few exceptions, all estimates fall
within the 95 percent confidence intervals of the panel
mobility. The quality of the estimates does not depend in
general on the sophistication level of the underlying
welfare model's specifications. The results are
encouraging even for those specifications that include few
time-invariant variables as regressors. |
| format |
Working Paper |
| author |
Lucchetti, Leonardo |
| author_facet |
Lucchetti, Leonardo |
| author_sort |
Lucchetti, Leonardo |
| title |
Who Escaped Poverty and Who Was Left Behind? : A Non-Parametric Approach to Explore Welfare Dynamics Using Cross-Sections |
| title_short |
Who Escaped Poverty and Who Was Left Behind? : A Non-Parametric Approach to Explore Welfare Dynamics Using Cross-Sections |
| title_full |
Who Escaped Poverty and Who Was Left Behind? : A Non-Parametric Approach to Explore Welfare Dynamics Using Cross-Sections |
| title_fullStr |
Who Escaped Poverty and Who Was Left Behind? : A Non-Parametric Approach to Explore Welfare Dynamics Using Cross-Sections |
| title_full_unstemmed |
Who Escaped Poverty and Who Was Left Behind? : A Non-Parametric Approach to Explore Welfare Dynamics Using Cross-Sections |
| title_sort |
who escaped poverty and who was left behind? : a non-parametric approach to explore welfare dynamics using cross-sections |
| publisher |
World Bank, Washington, DC |
| publishDate |
2017 |
| url |
http://documents.worldbank.org/curated/en/608131508157256196/Who-escaped-poverty-and-who-was-left-behind-a-non-parametric-approach-to-explore-welfare-dynamics-using-cross-sections http://hdl.handle.net/10986/28555 |
| _version_ |
1764467136567181312 |