Work

Making the most of coresident data: Credible evidence on intergenerational mobility with sibling correlation

Year: 2025

Type: article

Abstract: Many available data sets are not used for estimating intergenerational mobility owing to concerns about sample truncation bias in coresident data. Using data from Bangladesh, Chile, Ghana, India, Indonesia, and Mexico, we report the first evidence that the bias in estimated sibling correlation, a broad measure of relative mobility, is small in coresident samples (4.30%), much smaller than that in intergenerational regression coefficient (10.25%). The low bias reflects offsetting effects of sample truncation on the numerator and denominator of the sibling correlation formula. Sibling correlation estimates from coresident samples preserve the correct cross-country ranking 90%–95% times. Our findings have far-reaching implications for researchers working on intergenerational mobility. • This paper estimates biases in intergenerational mobility measures in co-resident data in six countries. • We compare three measures of relative mobility, with a focus on sibling correlation. • Sibling correlation shows the lowest bias compared to Intergenerational Regression Coefficient (IGRC) and Intergenerational Correlation (IGC). • Bias in sibling correlation is lower for younger cohorts and in smaller families. • Sibling correlations in co-resident data provide 90%–95% correct cross-country ranking.

Source: Journal of Development Economics

DOI: 10.1016/j.jdeveco.2025.103508

Authors: Md. Nazmul Ahsan, M. Shahe Emran, Hanchen Jiang, Forhad Shilpi

Institutions: Washington University in St. Louis, Columbia University, University of North Texas, World Bank

Language: English

Topic: Intergenerational and Educational Inequality Studies

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: hybrid

Estimated APC paid: $4,590