Making the most of coresident data: Credible evidence on intergenerational mobility with sibling correlation
Journal of Development Economics · 2025 · Md. Nazmul Ahsan、M. Shahe Emran、Hanchen Jiang、Forhad Shilpi
中文摘要
由于对同住数据中样本截断偏误的担忧，许多可用数据集未被用于估计代际流动性。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，我们报告了首项证据：作为一种相对流动性的广义衡量指标，估计的同胞相关性在同住样本中的偏误较小（4.30%），远小于代际回归系数中的偏误（10.25%）。偏误较低反映了样本截断对同胞相关性公式分子和分母的抵消效应。来自同住样本的同胞相关性估计在90%–95%的情况下保留了正确的跨国排名。我们的发现对从事代际流动性研究的研究人员具有深远影响。• 本文估计了六个国家同住数据中代际流动性衡量指标的偏误。• 我们比较了相对流动性的三种衡量指标，重点关注同胞相关性。• 与代际回归系数（IGRC）和代际相关性（IGC）相比，同胞相关性表现出最低的偏误。• 对于较年轻的队列和较小的家庭，同胞相关性的偏误更低。• 同住数据中的同胞相关性提供了90%–95%正确的跨国排名。
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.