Randomization Inference for Difference-in-Differences with Few Treated Clusters
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- James G. MacKinnon & Matthew D. Webb, 2019. "Randomization Inference For Difference-in-differences With Few Treated Clusters," Working Paper 1355, Economics Department, Queen's University.
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More about this item
KeywordsCRVE; grouped data; clustered data; panel data; randomization inference; difference-in-differences; wild cluster bootstrap; DiD;
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-SOG-2016-09-18 (Sociology of Economics)
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