Double/debiased machine learning for treatment and structural parameters-Reference-Cited by-同舟云学术

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Double/debiased machine learning for treatment and structural parameters

Published:2018-01-16 Issue:1 Volume:21 Page:C1-C68
ISSN:1368-4221
Container-title:The Econometrics Journal
language:en
Short-container-title:

Author:

Chernozhukov Victor¹,Chetverikov Denis²,Demirer Mert¹,Duflo Esther¹,Hansen Christian³,Newey Whitney¹,Robins James⁴

Affiliation:

1. Massachusetts Institute of Technology, 50 Memorial Drive, Cambridge, MA 02139, USA

2. University of California Los Angeles, 315 Portola Plaza, Los Angeles, CA 90095, USA

3. University of Chicago, 5807 S. Woodlawn Ave., Chicago, IL 60637, USA

4. Harvard University, 677 Huntington Avenue, Boston, MA 02115, USA

Funder

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics

Link

http://academic.oup.com/ectj/article-pdf/21/1/C1/27684918/ectj00c1.pdf

Reference91 articles.

1. Large sample properties of matching estimators for average treatment effects;Abadie;Econometrica,2006

2. The colonial origins of comparative development: an empirical investigation;Acemoglu;American Economic Review,2001

3. The semi‐parametric efficiency bound for models of sequential moment restrictions containing unknown functions;Ai;Journal of Econometrics,2012

4. Asymptotics for semi‐parametric econometric models via stochastic equicontinuity;Andrews;Econometrica,1994

5. Empirical process methods in econometrics;Andrews,1994

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