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How Much of Observed Economic Mobility isMeasurement Error? IV Methods to Reduce Measurement Error Bias, with an Application toVietnam

机译:观察到的经济流动性有多少是测量误差?减少测量误差偏差的IV方法及其在越南的应用

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摘要

Research on economic growth and inequality inevitably raises issues concerning economic mobility because the relationship between long-run inequality and short-run inequality is mediated by income mobility; for a given level of short-run inequality, greater mobility implies lower long-run inequality. But empirical measures of both inequality and mobility tend to be biased upward due to measurement error in income and expenditure data collected from household surveys. This paper examines how to reduceor remove this bias using instrumental variable methods, and provides conditions that instrumental variables must satisfy to provide consistent estimates. This approach is applied to panel data from Vietnam. The results imply that at least 15 percent, and perhaps as much as 42 percent, of measured mobility is upward bias due to measurement error. The results also suggest that measurement error accounts for at least 12 percent of measured inequality.
机译:对经济增长和不平等的研究不可避免地引起了与经济流动性有关的问题,因为长期不平等和短期不平等之间的关系是由收入流动所介导的。对于给定的短期不平等水平,更大的流动性意味着较低的长期不平等。但是,由于从家庭调查收集的收入和支出数据的计量误差,有关不平等和流动性的经验指标往往偏向上。本文研究了如何使用工具变量方法减少或消除这种偏差,并提供了工具变量必须满足的条件才能提供一致的估计。此方法适用于越南的面板数据。结果表明,由于测量误差,至少有15%(也许多达42%)的测量迁移率是向上偏差。结果还表明,测量误差至少占测量不平等的12%。

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