 Making the most of coresident data: Credible evidence on intergenerational mobility with sibling correlationMd. Nazmul Ahsan, M. Shahe Emran, Hanchen Jiang and Forhad Shilpi Journal of Development Economics, 2025, vol. 176, issue C 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. Keywords: Coresident data; Sample truncation bias; Intergenerational educational mobility; Sibling correlation; Intergenerational Regression Coefficient (IGRC); Intergenerational Correlation (IGC); Developing countries; Census; Demographic and Health Survey (DHS); Living Standards Measurement Study (LSMS) (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:deveco:v:176:y:2025:i:c:s0304387825000598 DOI: 10.1016/j.jdeveco.2025.103508 Access Statistics for this article Journal of Development Economics is currently edited by M. R. Rosenzweig More articles in Journal of Development Economics from Elsevier |
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