MacKinnon, James G.
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2

Using large samples in econometrics:

MacKinnon, James G.
Journal of Econometrics.  235 (2023)  2 - p. 922-926 , 2023
 
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4

Fast cluster bootstrap methods for linear regression models:

MacKinnon, James G.
Econometrics and Statistics.  26 (2023)  - p. 52-71 , 2023
 
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Leverage, influence, and the jackknife in clustered regress..:

MacKinnon, James G. ; Nielsen, Morten Ørregaard ; Webb, Matthew D.
The Stata Journal: Promoting communications on statistics and Stata.  23 (2023)  4 - p. 942-982 , 2023
 
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Featured Cover:

MacKinnon, James G. ; Nielsen, Morten Ørregaard ; Webb, Matthew D.
Journal of Applied Econometrics.  38 (2023)  5 - p. , 2023
 
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Fast and wild: Bootstrap inference in Stata using boottest:

Roodman, David ; Nielsen, Morten Ørregaard ; MacKinnon, James G..
The Stata Journal: Promoting communications on statistics and Stata.  19 (2019)  1 - p. 4-60 , 2019
 
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10

How cluster-robust inference is changing applied econometri..:

MacKinnon, James G.
The Canadian Journal of Economics / Revue canadienne d'Economique.  52 (2019)  3 - p. 851-881 , 2019
 
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How cluster‐robust inference is changing applied econometri..:

MacKinnon, James G.
Canadian Journal of Economics/Revue canadienne d'économique.  52 (2019)  3 - p. 851-881 , 2019
 
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14

The wild bootstrap for few (treated) clusters:

Mackinnon, James G. ; Webb, Matthew D.
The Econometrics Journal.  21 (2018)  2 - p. 114-135 , 2018
 
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15

The wild bootstrap for few (treated) clusters:

MacKinnon, James G. ; Webb, Matthew D.
The Econometrics Journal.  21 (2018)  2 - p. 114-135 , 2018
 
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