How Much Should We Trust Differences-in-Differences Estimates?
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Most Difference-in-Difference (DD) papers rely on many years of data and focus on serially correlated outcomes. Yet almost all these papers ignore the bias in the estimated standard errors that serial correlation introduce4s. This is especially troubling because the independent variable of interest
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美国国家经济研究局创建时间：
2002-03-01
