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Inference after data-driven control-unit selection in difference-in-differences with estimated covariance
In difference-in-differences (DiD), researchers may use pre-treatment trends to select a control group for which the parallel-trends assumption appears plausible, with the aim of estimating the average treatment effect on the treated (ATT). Our earlier paper,Nakano and Hoshino (2016), and the presen
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