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Using large samples in econometrics
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DOI：10.1016/j.jeconom.2022.05.005.png)
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Abstract
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As I demonstrate using evidence from a journal data repository that I manage, the datasets used in empirical work are getting larger. When we use very large datasets, it can be dangerous to rely on standard methods for statistical inference. In addition, we need to worry about computational issues. We must be careful in our choice of statistical methods and the algorithms used to implement them. & COPY; 2022 Elsevier B.V. All rights reserved.
Keywords:
Bootstrap
Clustered data
Jackknife
Statistical computation
Statistical inference
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