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

IF 4.6 1区 经济学 Q1 ECONOMICS Journal of Development Economics Pub Date : 2025-09-01 Epub Date: 2025-04-15 DOI:10.1016/j.jdeveco.2025.103508
Md. Nazmul Ahsan , M. Shahe Emran , Hanchen Jiang , Forhad Shilpi
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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.
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充分利用总统数据:关于兄弟姐妹相关性的代际流动性的可靠证据
许多可用的数据集没有用于估计代际流动性,因为担心在总统数据的样本截断偏差。利用来自孟加拉国、智利、加纳、印度、印度尼西亚和墨西哥的数据,我们报告了第一个证据,表明在共同样本中估计的兄弟姐妹相关性(一种广泛的相对流动性衡量标准)的偏差很小(4.30%),远小于代际回归系数(10.25%)。低偏差反映了样本截断对兄弟相关公式的分子和分母的抵消作用。来自总样本的兄弟相关性估计在90%-95%的情况下保持正确的跨国排名。我们的发现对研究代际流动性的研究人员具有深远的意义。
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来源期刊
CiteScore
8.30
自引率
4.00%
发文量
126
审稿时长
72 days
期刊介绍: The Journal of Development Economics publishes papers relating to all aspects of economic development - from immediate policy concerns to structural problems of underdevelopment. The emphasis is on quantitative or analytical work, which is relevant as well as intellectually stimulating.
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