Estimating Intergenerational Mobility with Incomplete Data: Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures

40 Pages Posted: 10 Aug 2017

See all articles by M. Shahe Emran

M. Shahe Emran

George Washington University - Department of Economics

Forhad Shilpi

World Bank - Development Research Group (DECRG)

Multiple version iconThere are 2 versions of this paper

Date Written: August 9, 2017

Abstract

Most of the household surveys available in developing countries suffer from sample truncation because coresidency is used to define household membership. This paper provides evidence on truncation bias in rank-based relative and absolute mobility estimates in coresident samples, and compares with the bias in intergenerational regression coefficient (IGRC) and intergenerational correlation (IGC). Using surveys from Bangladesh and India that include non-resident children, we find that the slope estimates are biased downward, while the intercept estimates are biased upward, but expected years of schooling conditional on parental education are overestimated in coresident samples. The downward bias in rank correlation is much smaller than that in IGRC, and comparable to that in IGC. The upward bias in the intercept is the largest in the regression used for IGC. Truncation bias in rank-based absolute mobility estimates is the lowest in most cases. The results add to an emerging body of evidence that the rank-based measures are more robust than the widely-used IGRC and IGC in estimating intergenerational mobility with incomplete data.

Keywords: Rank correlation, Rank-based Absolute Mobility, Coresidency, Truncation Bias, Intergenerational Mobility, Developing Countries, Intergenerational Regression Coefficient (IGRC), Intergenerational Correlation (IGC), Bangladesh, India

JEL Classification: O12, J62

Suggested Citation

Emran, M. Shahe and Shilpi, Forhad, Estimating Intergenerational Mobility with Incomplete Data: Coresidency and Truncation Bias in Rank-Based Relative and Absolute Mobility Measures (August 9, 2017). Available at SSRN: https://ssrn.com/abstract=3015532 or http://dx.doi.org/10.2139/ssrn.3015532

M. Shahe Emran (Contact Author)

George Washington University - Department of Economics ( email )

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Forhad Shilpi

World Bank - Development Research Group (DECRG) ( email )

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