Intra-generational Mobility and Repeated Cross-Sections : A Three-country Validation Exercise
This paper validates a recently proposed method to estimate intra-generational mobility through repeated cross-sectional surveys. The technique allows the creation of a "synthetic panel" -- done by predicting future or past household inco...
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okr-10986-36862021-04-23T14:02:11Z Intra-generational Mobility and Repeated Cross-Sections : A Three-country Validation Exercise Cruces, Guillermo Lanjouw, Peter Lucchetti, Leonardo Perova, Elizaveta Vakis, Renos Viollaz, Mariana DATA ANALYSIS ECONOMIC DEVELOPMENT FEMALE GENDER HOUSEHOLD INCOME HOUSEHOLD SURVEYS HOUSEHOLDS HOUSING INEQUALITY LIVING CONDITIONS METHODOLOGY MOBILITY MODELING OCCUPATION PER CAPITA CONSUMPTION POOR POPULATION GROUPS POVERTY LINE POVERTY LINES POVERTY RATES RESEARCH WORKING PAPERS RESEARCHERS RURAL AREAS SOCIAL PROGRAMS SURVEY DESIGN TECHNIQUES TRANSIENT POVERTY WEIGHTING This paper validates a recently proposed method to estimate intra-generational mobility through repeated cross-sectional surveys. The technique allows the creation of a "synthetic panel" -- done by predicting future or past household income using a set of simple modeling and error structure assumptions -- and thus permits the estimation of lower and upper bounds on directional mobility measures. The authors validate the approach in three different settings where good panel data also exist (Chile, Nicaragua, and Peru). In doing so, they also carry out a number of refinements to the validation procedure. The results are broadly encouraging: the methodology performs well in all three settings, especially in cases where richer model specifications can be estimated. The technique does equally well in predicting short and long-term mobility patterns and is robust to a broad set of additional "stress" and sensitivity tests. Overall, the paper lends support to the application of this approach to settings where panel data are absent. 2012-03-19T18:06:50Z 2012-03-19T18:06:50Z 2011-12-01 http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20111214162728 http://hdl.handle.net/10986/3686 English Policy Research working paper ; no. WPS 5916 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank Publications & Research :: Policy Research Working Paper Latin America & Caribbean Chile Peru Nicaragua |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English |
topic |
DATA ANALYSIS ECONOMIC DEVELOPMENT FEMALE GENDER HOUSEHOLD INCOME HOUSEHOLD SURVEYS HOUSEHOLDS HOUSING INEQUALITY LIVING CONDITIONS METHODOLOGY MOBILITY MODELING OCCUPATION PER CAPITA CONSUMPTION POOR POPULATION GROUPS POVERTY LINE POVERTY LINES POVERTY RATES RESEARCH WORKING PAPERS RESEARCHERS RURAL AREAS SOCIAL PROGRAMS SURVEY DESIGN TECHNIQUES TRANSIENT POVERTY WEIGHTING |
spellingShingle |
DATA ANALYSIS ECONOMIC DEVELOPMENT FEMALE GENDER HOUSEHOLD INCOME HOUSEHOLD SURVEYS HOUSEHOLDS HOUSING INEQUALITY LIVING CONDITIONS METHODOLOGY MOBILITY MODELING OCCUPATION PER CAPITA CONSUMPTION POOR POPULATION GROUPS POVERTY LINE POVERTY LINES POVERTY RATES RESEARCH WORKING PAPERS RESEARCHERS RURAL AREAS SOCIAL PROGRAMS SURVEY DESIGN TECHNIQUES TRANSIENT POVERTY WEIGHTING Cruces, Guillermo Lanjouw, Peter Lucchetti, Leonardo Perova, Elizaveta Vakis, Renos Viollaz, Mariana Intra-generational Mobility and Repeated Cross-Sections : A Three-country Validation Exercise |
geographic_facet |
Latin America & Caribbean Chile Peru Nicaragua |
relation |
Policy Research working paper ; no. WPS 5916 |
description |
This paper validates a recently proposed
method to estimate intra-generational mobility through
repeated cross-sectional surveys. The technique allows the
creation of a "synthetic panel" -- done by
predicting future or past household income using a set of
simple modeling and error structure assumptions -- and thus
permits the estimation of lower and upper bounds on
directional mobility measures. The authors validate the
approach in three different settings where good panel data
also exist (Chile, Nicaragua, and Peru). In doing so, they
also carry out a number of refinements to the validation
procedure. The results are broadly encouraging: the
methodology performs well in all three settings, especially
in cases where richer model specifications can be estimated.
The technique does equally well in predicting short and
long-term mobility patterns and is robust to a broad set of
additional "stress" and sensitivity tests.
Overall, the paper lends support to the application of this
approach to settings where panel data are absent. |
format |
Publications & Research :: Policy Research Working Paper |
author |
Cruces, Guillermo Lanjouw, Peter Lucchetti, Leonardo Perova, Elizaveta Vakis, Renos Viollaz, Mariana |
author_facet |
Cruces, Guillermo Lanjouw, Peter Lucchetti, Leonardo Perova, Elizaveta Vakis, Renos Viollaz, Mariana |
author_sort |
Cruces, Guillermo |
title |
Intra-generational Mobility and Repeated Cross-Sections : A Three-country Validation Exercise |
title_short |
Intra-generational Mobility and Repeated Cross-Sections : A Three-country Validation Exercise |
title_full |
Intra-generational Mobility and Repeated Cross-Sections : A Three-country Validation Exercise |
title_fullStr |
Intra-generational Mobility and Repeated Cross-Sections : A Three-country Validation Exercise |
title_full_unstemmed |
Intra-generational Mobility and Repeated Cross-Sections : A Three-country Validation Exercise |
title_sort |
intra-generational mobility and repeated cross-sections : a three-country validation exercise |
publishDate |
2012 |
url |
http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20111214162728 http://hdl.handle.net/10986/3686 |
_version_ |
1764387811602989056 |