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  • 标题:MEASUREMENT ERROR IN MACROECONOMIC DATA AND ECONOMICS RESEARCH: DATA REVISIONS, GROSS DOMESTIC PRODUCT, AND GROSS DOMESTIC INCOME
  • 本地全文:下载
  • 作者:Andrew C. Chang ; Phillip Li
  • 期刊名称:Economic Inquiry
  • 印刷版ISSN:0095-2583
  • 出版年度:2018
  • 卷号:56
  • 期号:3
  • 页码:1846-1869
  • DOI:10.1111/ecin.12567
  • 语种:English
  • 出版社:Western Economic Association International
  • 摘要:We use a preanalysis plan to analyze the effect of measurement error on economics research using the fact that the Bureau of Economic Analysis both revises its gross domestic product (GDP) data and also publishes a second, theoretically identical estimate of U.S. output that only differs from GDP due to measurement error: gross domestic income (GDI). Using a sample of 23 models published in top economics journals, we find that reestimating models using revised GDP always gives the same qualitative result as the original publication. Estimating models using GDI instead of GDP gives a different qualitative result for three of 23 models (13%). (JEL C80, C82, E01)
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