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An introduction to flexible methods for policy evaluation
Huber, Martin
-
2019
Persistent link: https://www.econbiz.de/10012138326
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2
A machine learning approach for flagging incomplete bid-rigging cartels
Wallimann, Hannes
;
Imhof, David
;
Huber, Martin
- In:
Computational economics
62
(
2023
)
4
,
pp. 1669-1720
Persistent link: https://www.econbiz.de/10014437552
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3
Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students
Denisova-Schmidt, Elena
;
Huber, Martin
;
Leontyeva, Elvira
; …
-
2017
Persistent link: https://www.econbiz.de/10011741946
Saved in:
4
Machine learning with screens for detecting bid-rigging cartels
Huber, Martin
;
Imhof, David
- In:
International journal of industrial organization
65
(
2019
),
pp. 277-301
Persistent link: https://www.econbiz.de/10012321207
Saved in:
5
Transnational machine learning with screens for flagging bid-rigging cartels
Huber, Martin
;
Imhof, David
;
Ishii, Rieko
-
2020
Persistent link: https://www.econbiz.de/10012436078
Saved in:
6
Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students
Denisova-Schmidt, Elena
;
Huber, Martin
;
Leontyeva, Elvira
; …
- In:
Empirical economics : a quarterly journal of the …
60
(
2021
)
4
,
pp. 1661-1684
Persistent link: https://www.econbiz.de/10012490642
Saved in:
7
A machine learning approach for flagging incomplete bid-rigging cartels
Wallimann, Hannes
;
Imhof, David
;
Huber, Martin
-
2020
Persistent link: https://www.econbiz.de/10012260215
Saved in:
8
Causal mediation analysis with double machine learning
Farbmacher, Helmut
;
Huber, Martin
;
Langen, Henrika
; …
-
2020
Persistent link: https://www.econbiz.de/10012260365
Saved in:
9
Machine learning with screens for detecting bid-rigging cartels
Huber, Martin
;
Imhof, David
-
2018
Persistent link: https://www.econbiz.de/10011923342
Saved in:
10
Flagging cartel participants with deep learning based on convolutional neural networks
Huber, Martin
;
Imhof, David
- In:
International journal of industrial organization
89
(
2023
),
pp. 1-22
Persistent link: https://www.econbiz.de/10014546378
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