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~person:"MacKinnon, James G."
~isPartOf:"Journal of econometrics"
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Search: subject_exact:"Bootstrap approach"
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Bootstrap approach
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MacKinnon, James G.
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6
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1
Testing for the appropriate level of clustering in linear regression models
MacKinnon, James G.
;
Nielsen, Morten Ørregaard
;
Webb, …
- In:
Journal of econometrics
235
(
2023
)
2
,
pp. 2027-2056
Persistent link: https://www.econbiz.de/10014471443
Saved in:
2
Cluster-robust inference : a guide to empirical practice
MacKinnon, James G.
;
Nielsen, Morten Ørregaard
;
Webb, …
- In:
Journal of econometrics
232
(
2023
)
2
,
pp. 272-299
Persistent link: https://www.econbiz.de/10014339912
Saved in:
3
Randomization inference for difference-in-differences with few treated clusters
MacKinnon, James G.
;
Webb, Matthew
- In:
Journal of econometrics
218
(
2020
)
2
,
pp. 435-450
Persistent link: https://www.econbiz.de/10012483166
Saved in:
4
Asymptotic theory and wild bootstrap inference with clustered errors
Djogbenou, Antoine A.
;
MacKinnon, James G.
;
Nielsen, …
- In:
Journal of econometrics
212
(
2019
)
2
,
pp. 393-412
Persistent link: https://www.econbiz.de/10012304028
Saved in:
5
The power of bootstrap and asymptotic tests
Davidson, Russell
;
MacKinnon, James G.
- In:
Journal of econometrics
133
(
2006
)
2
,
pp. 421-441
Persistent link: https://www.econbiz.de/10003359537
Saved in:
6
Bootstrap "J" tests of nonnested linear regression models
Davidson, Russell
;
MacKinnon, James G.
- In:
Journal of econometrics
109
(
2002
)
1
,
pp. 167-193
Persistent link: https://www.econbiz.de/10001663896
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