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Double/debiased machine learning for treatment and structural parameters / Victor Chernozhukov et al by Series: NBER Working Paper ; 23564
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: Cambridge NBER 2017
Online resources:
Availability: Items available for loan: IGIDR (1).

3.
Censored quantile instrumental variable estimation with STATA / Victor Chernozhukov, et al by Series: NBER Working Paper ; 24232
Material type: Text Text
Publication details: Cambridge NBER 2018
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Availability: Items available for loan: IGIDR (1).

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Generic machine learning inference on heterogenous treatment effects in randomized experiments / Victor Chernozhukov et al by Series: NBER Working Paper ; 24678
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: Cambridge NBER 2018
Online resources:
Availability: Items available for loan: IGIDR (1).

6.
Demand analysis with many prices / Victor Chernozhukov, Jerry A. Hausman and Whitney K. Newey by Series: NBER Working Paper ; 26424
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: Cambridge NBER 2019
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Availability: Items available for loan: IGIDR (1).

7.
Long story short : Omitted variable bias in causal machine learning / Victor Chernozhukov et al by Series: NBER Working Papers ; 30302
Material type: Text Text
Publication details: Cambridge NBER 2022
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