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...

Full description

Bibliographic Details
Main Authors: Emran, M. Shahe, Shilpi, Forhad
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2018
Subjects:
Online Access: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
id okr-10986-29716
recordtype oai_dc
spelling 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
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection 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
_version_ 1764470075943813120