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Causal impact of masks, policies, behavior on early covid-19 pandemic in the US

Chernozhukov, Victor; Kasahara, Hiroyuki; Schrimpf, Paul - In: Journal of econometrics 220 (2021) 1, pp. 23-62

Persistent link: https://www.econbiz.de/10012618324

Automatic debiased machine learning of causal and structural effects

Chernozhukov, Victor; Newey, Whitney K.; Singh, Rahul - In: Econometrica : journal of the Econometric Society, an … 90 (2022) 3, pp. 967-1027

Persistent link: https://www.econbiz.de/10013279515

Mastering panel metrics : causal impact of democracy on growth

Chen, Shuowen; Chernozhukov, Victor; Fernández-Val, Iván - In: AEA papers and proceedings 109 (2019), pp. 77-82

Persistent link: https://www.econbiz.de/10012395712

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

Program evaluation and causal inference with high-dimensional data

Belloni, Alexandre; Chernozhukov, Victor; … - In: Econometrica : journal of the Econometric Society, an … 85 (2017) 1, pp. 233-298

Persistent link: https://www.econbiz.de/10011738490

Double/debiased/Neyman machine learning of treatment effects

Chernozhukov, Victor; Chetverikov, Denis; Demirer, Mert; … - In: The American economic review 107 (2017) 5, pp. 261-265

Persistent link: https://www.econbiz.de/10011782994

Long Story Short : Omitted Variable Bias in Causal Machine Learning

Chernozhukov, Victor; Cinelli, Carlos; Newey, Whitney K.; … - National Bureau of Economic Research - 2022

We derive general, yet simple, sharp bounds on the size of the omitted variable bias for a broad class of causal parameters that can be identified as linear functionals of the conditional expectation function of the outcome. Such functionals encompass many of the traditional targets of...

Persistent link: https://www.econbiz.de/10013334519