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Nielsen, Morten Ørregaard
Webb, Matthew
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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
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2
Wild bootstrap and asymptotic inference with multiway clustering
MacKinnon, James G.
;
Nielsen, Morten Ørregaard
;
Webb, …
- In:
Journal of business & economic statistics : JBES ; a …
39
(
2021
)
2
,
pp. 505-519
Persistent link: https://www.econbiz.de/10012499095
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3
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:
4
Wild bootstrap inference for wildly different cluster sizes
MacKinnon, James G.
;
Webb, Matthew
- In:
Journal of applied econometrics
32
(
2017
)
2
,
pp. 233-254
Persistent link: https://www.econbiz.de/10011689759
Saved in:
5
Wild bootstrap randomization inferencefor few treated clusters
MacKinnon, James G.
;
Webb, Matthew
- In:
The econometrics of complex survey data : theory and …
,
(pp. 61-85)
.
2019
Persistent link: https://www.econbiz.de/10012104612
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6
The wild bootstrap for few (treated) clusters
MacKinnon, James G.
;
Webb, Matthew
- In:
The econometrics journal
21
(
2018
)
2
,
pp. 114-135
Persistent link: https://www.econbiz.de/10012166605
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7
Reworking wild bootstrap-based inference for clustered errors
Webb, Matthew
- In:
The Canadian journal of economics : the journal of the …
56
(
2023
)
3
,
pp. 839-858
Persistent link: https://www.econbiz.de/10014364414
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8
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
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9
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
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