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      Why We Should Not Be Indifferent to Specification Choices for Difference-in-Differences

      , ,
      Health Services Research
      Wiley-Blackwell

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          Abstract

          To evaluate the effects of specification choices on the accuracy of estimates in difference-in-differences (DID) models.

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          Most cited references47

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          A Simple Test for Heteroscedasticity and Random Coefficient Variation

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            Inference with Difference-in-Differences and Other Panel Data

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              Permutation Methods: A Basis for Exact Inference

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                Author and article information

                Journal
                Health Services Research
                Health Serv Res
                Wiley-Blackwell
                00179124
                August 2015
                August 11 2015
                : 50
                : 4
                : 1211-1235
                Article
                10.1111/1475-6773.12270
                4545355
                25495529
                87be54d6-f101-48dc-867e-a61048ae6174
                © 2015

                http://doi.wiley.com/10.1002/tdm_license_1.1

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