Two-Sample Two-Stage Least Squares (TSTSLS) Estimates of Earnings Mobility: How Consistent are They?
Two-Sample Two-Stage Least Squares (TSTSLS) Estimates of Earnings Mobility: How Consistent are They?
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DOI：
10.2139/ssrn.2535954
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发表时间：
2014-11
期刊：
影响因子：
--
通讯作者：
John Jerrim;Álvaro Choi;Rosa Simancas Rodríguez
中科院分区：
文献类型：
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作者：
John Jerrim;Álvaro Choi;Rosa Simancas Rodríguez
学术界和决策者对代际收入流动性的跨国比较表现出极大的兴趣。然而，对收入流动性作出一致和可比的估计并不是一项微不足道的任务。在大多数国家，研究人员无法观察两代人的收入信息。因此，他们被迫依赖估算数据。本文建立在以前的工作，考虑代际相关的一致性（？）以及弹性，在使用一系列不同的工具（估算）变量时如何变化，并强调一个重要但很少讨论的计量问题。我们的主要发现是，虽然TSTSLS估计的s和？两者都可能是不一致的，这个问题的严重性对前者来说比对后者来说要大得多。最后，我们提供建议，估计使用这种方法的收入流动性。
Academics and policymakers have shown great interest in cross-national comparisons of intergenerational earnings mobility. However, producing consistent and comparable estimates of earnings mobility is not a trivial task. In most countries researchers are unable to observe earnings information for two generations. They are thus forced to rely upon imputed data instead. This paper builds upon previous work by considering the consistency of the intergenerational correlation (?) as well as the elasticity (s), how this changes when using a range of different instrumental (imputer) variables, and highlighting an important but infrequently discussed measurement issue. Our key finding is that, while TSTSLS estimates of s and ? are both likely to be inconsistent, the magnitude of this problem is much greater for the former than it is for the latter. We conclude by offering advice on estimating earnings mobility using this methodology.