Estimating Intergenerational Mobility with Incomplete Data : Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures
The rank-based measures of intergenerational mobility have become increasingly popular in economics literature. Recent evidence shows that rank-based measures are less affected by measurement error and life-cycle bias compared with other standard m...
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okr-10986-297162021-06-08T14:42:45Z Estimating Intergenerational Mobility with Incomplete Data : Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures Emran, M. Shahe Shilpi, Forhad RANK CORRELATION DOWNWARD BIAS INTERGENERATIONAL MOBILITY EDUCATIONAL ATTAINMENT LIFETIME EARNINGS OCCUPATIONAL MOBILITY SOCIAL MOBILITY REGRESSION The rank-based measures of intergenerational mobility have become increasingly popular in economics literature. Recent evidence shows that rank-based measures are less affected by measurement error and life-cycle bias compared with other standard measures such as intergenerational regression coefficient and intergenerational correlation. However, most of the available household surveys suffer from sample truncation, because coresidency is used to define household membership. There is no evidence on how sample truncation affects the rank-based mobility estimates relative to intergenerational regression coefficient and intergenerational correlation. This paper provides evidence on this in the context of intergenerational schooling persistence, using two exceptional surveys from India and Bangladesh that include all children irrespective of residency status. The analysis shows that the measures of relative mobility (slopes) are biased downward in coresident samples, but the average bias in rank correlation is less than half of that in intergenerational regression coefficient, and comparable to that in intergenerational correlation in magnitude. The intercept estimates are biased upward, with the largest bias found in the intercept of the regression used for intergenerational correlation. Truncation bias in rank-based absolute mobility estimates is the lowest in most cases. The results strengthen the case for rank-based measures of intergenerational mobility when working with the standard household surveys. 2018-04-20T17:24:57Z 2018-04-20T17:24:57Z 2018-04 Working Paper http://documents.worldbank.org/curated/en/503481524073263573/Estimating-intergenerational-mobility-with-incomplete-data-coresidency-and-truncation-bias-in-rank-based-relative-and-absolute-mobility-measures http://hdl.handle.net/10986/29716 English Policy Research Working Paper;No. 8414 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 South Asia Bangladesh India |
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Foreign Institution |
institution |
Digital Repositories |
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World Bank Open Knowledge Repository |
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World Bank |
language |
English |
topic |
RANK CORRELATION DOWNWARD BIAS INTERGENERATIONAL MOBILITY EDUCATIONAL ATTAINMENT LIFETIME EARNINGS OCCUPATIONAL MOBILITY SOCIAL MOBILITY REGRESSION |
spellingShingle |
RANK CORRELATION DOWNWARD BIAS INTERGENERATIONAL MOBILITY EDUCATIONAL ATTAINMENT LIFETIME EARNINGS OCCUPATIONAL MOBILITY SOCIAL MOBILITY REGRESSION Emran, M. Shahe Shilpi, Forhad Estimating Intergenerational Mobility with Incomplete Data : Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures |
geographic_facet |
South Asia Bangladesh India |
relation |
Policy Research Working Paper;No. 8414 |
description |
The rank-based measures of
intergenerational mobility have become increasingly popular
in economics literature. Recent evidence shows that
rank-based measures are less affected by measurement error
and life-cycle bias compared with other standard measures
such as intergenerational regression coefficient and
intergenerational correlation. However, most of the
available household surveys suffer from sample truncation,
because coresidency is used to define household membership.
There is no evidence on how sample truncation affects the
rank-based mobility estimates relative to intergenerational
regression coefficient and intergenerational correlation.
This paper provides evidence on this in the context of
intergenerational schooling persistence, using two
exceptional surveys from India and Bangladesh that include
all children irrespective of residency status. The analysis
shows that the measures of relative mobility (slopes) are
biased downward in coresident samples, but the average bias
in rank correlation is less than half of that in
intergenerational regression coefficient, and comparable to
that in intergenerational correlation in magnitude. The
intercept estimates are biased upward, with the largest bias
found in the intercept of the regression used for
intergenerational correlation. Truncation bias in rank-based
absolute mobility estimates is the lowest in most cases. The
results strengthen the case for rank-based measures of
intergenerational mobility when working with the standard
household surveys. |
format |
Working Paper |
author |
Emran, M. Shahe Shilpi, Forhad |
author_facet |
Emran, M. Shahe Shilpi, Forhad |
author_sort |
Emran, M. Shahe |
title |
Estimating Intergenerational Mobility with Incomplete Data : Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures |
title_short |
Estimating Intergenerational Mobility with Incomplete Data : Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures |
title_full |
Estimating Intergenerational Mobility with Incomplete Data : Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures |
title_fullStr |
Estimating Intergenerational Mobility with Incomplete Data : Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures |
title_full_unstemmed |
Estimating Intergenerational Mobility with Incomplete Data : Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures |
title_sort |
estimating intergenerational mobility with incomplete data : coresidency and truncation bias in rank-based relative and absolute mobility measures |
publisher |
World Bank, Washington, DC |
publishDate |
2018 |
url |
http://documents.worldbank.org/curated/en/503481524073263573/Estimating-intergenerational-mobility-with-incomplete-data-coresidency-and-truncation-bias-in-rank-based-relative-and-absolute-mobility-measures http://hdl.handle.net/10986/29716 |
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1764470075943813120 |