Wild Bootstrap Inference For Wildly Different Cluster Sizes
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- James G. MacKinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
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More about this item
KeywordsCRVE; grouped data; clustered data; panel data; wild cluster bootstrap; placebo laws; effective number of clusters; bootstrap failure; difference in differences;
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ECM-2013-08-23 (Econometrics)
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