The bootstrain and multiple imputations: Harnessing increased computing power for improved statistical tests

doi:10.1257/jep.15.4.129

2001-11-01

PRE

Brownstone, D

Valletta, R

DOI：10.1257/jep.15.4.129

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摘要

En 中文

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.

Keyword:

MEASUREMENT ERROR

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期刊

Journal of Economic Perspectives

IF:

8.8

论文数:

1.8K

被引数:

2.0W

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