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The econometrics journal
CEMMAP working papers / Centre for Microdata Methods and Practice
143
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Double/debiased machine learning for treatment and structural parameters
Chernozhukov, Victor
;
Četverikov, Denis N.
;
Demirer, Mert
- In:
The econometrics journal
21
(
2018
)
1
,
pp. C1-C68
Persistent link: https://www.econbiz.de/10012170969
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2
Posterior inference in curved exponential families under increasing dimensions
Belloni, Alexandre
;
Chernozhukov, Victor
- In:
The econometrics journal
17
(
2014
)
2
,
pp. 75-100
Persistent link: https://www.econbiz.de/10010498724
Saved in:
3
Low-rank approximations of nonseparable panel models
Fernández-Val, Iván
;
Freeman, Hugo
;
Weidner, Martin
- In:
The econometrics journal
24
(
2021
)
2
,
pp. C40-C77
Persistent link: https://www.econbiz.de/10012594982
Saved in:
4
Royal Economic Society Annual Conference 2010 : special Issue on econometrics of inequality ; editorial
Chernozhukov, Victor
;
Schluter, Christian
;
Whang, Yoon-jae
- In:
The econometrics journal
15
(
2012
)
1
,
pp. 1-2
Persistent link: https://www.econbiz.de/10009522892
Saved in:
5
Debiased machine learning of conditional average treatment effects and other causal functions
Semenova, Vira
;
Chernozhukov, Victor
- In:
The econometrics journal
24
(
2021
)
2
,
pp. 264-289
Persistent link: https://www.econbiz.de/10012594994
Saved in:
6
Debiased machine learning of global and local parameters using regularized Riesz representers
Chernozhukov, Victor
;
Newey, Whitney K.
;
Singh, Rahul
- In:
The econometrics journal
25
(
2022
)
3
,
pp. 576-601
Persistent link: https://www.econbiz.de/10013399777
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