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The common practice in difference-in-difference (DiD) designs is to check for parallel trends prior to treatment assignment, yet typical estimation and inference does not account for the fact that this test has occurred.
One-dimensional marginal density functions of a truncated multivariate normal density function
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Pre-Test Estimation and Testing in Econometrics: Recent Developments
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