The Bootstrap and Multiple Imputations: Harnessing Increased Computing Power for Improved Statistical Tests

David Brownstone and Robert Valletta

Journal of Economic Perspectives, 2001, vol. 15, issue 4, 129-141

Abstract: The bootstrap and multiple imputations are two techniques that can enhance the accuracy of estimated confidence bands and critical values. Although they are computationally intensive, relying on repeated sampling from empirical data sets and associated estimates, modern computing power enables their application in a wide and growing number of econometric settings. We provide an intuitive overview of how to apply these techniques, referring to existing theoretical literature and various applied examples to illustrate both their possibilities and their pitfalls.

JEL-codes: C12 C13 C20 (search for similar items in EconPapers)
Date: 2001
Note: DOI: 10.1257/jep.15.4.129
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Citations: View citations in EconPapers (75)

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