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原文传递 How Much of Observed Economic Mobility is Measurement Error? IV Methods to Reduce Measurement Error Bias, with an Application to Vietnam

题名：	How Much of Observed Economic Mobility is Measurement Error? IV Methods to Reduce Measurement Error Bias, with an Application to Vietnam
责任者：	Glewwe, Paul
关键词：	Communities and Human Settlements — Housing & Human Habitats；Macroeconomics and Economic Growth — Economic Theory & Research；Poverty Reduction — Inequality；Poverty Reduction — Poverty Diagnostics；Poverty Reduction — Poverty Impact Evaluation；Poverty Reduction — Services & Transfers to Poor；Rural Development — Rural Roads & Transport；Science and Technology Development — Standards and Technical Regulations；Science and Technology Development — Statistical & Mathematical Sciences；Transport
学科分类：	交通运输经济
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 reduce or 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.
出版机构：	World Bank
完成日期：	2013-12-04T17:40:37Z
报告类型：	咨询报告
资源类型：	科技（咨询、行业）报告
初始创建时间：	2017-12-14T04:38:41Z