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units are available over time. We lay out the theory underlying SDID, both when there is a single treatment adoption date …
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Marketing scientists often estimate causal effects using data from pre/post test/control quasi-experimental settings. We propose a new, easy to implement Augmented Difference-in-Differences (ADID) method that complements existing approaches to estimate the average treatment effect on the treated...
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This paper proposes a time-weighted difference-in-differences (TWDID) estimation approach that is robust against interactive fixed effects in short T panels. Time weighting substantially reduces both bias and variance compared to conventional DID estimation through balancing the pre-treatment...
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Price theory says that the most important effects of policy and technological change are often found beyond their first …'s outcomes. This paper uses the industry model from price theory to represent the statistical concepts of treatments and controls … between them, and how they correspond to the scale and substitution effects emphasized in price theory …
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