Causal inference when counterfactuals depend on the proportion of all subjects exposed-Reference-Cited by-同舟云学术

Causal inference when counterfactuals depend on the proportion of all subjects exposed

Published:2019-04-03 Issue:3 Volume:75 Page:768-777
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Miles Caleb H.¹^ORCID,Petersen Maya²³,van der Laan Mark J.²⁴

Affiliation:

1. Department of BiostatisticsColumbia Mailman School of Public Health New York New York

2. Division of BiostatisticsUniversity of California at Berkeley Berkeley California

3. Division of EpidemiologyUniversity of California at Berkeley Berkeley California

4. Department of StatisticsUniversity of California at Berkeley Berkeley California

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13034

Reference19 articles.

1. Chapter 72 Econometric Evaluation of Social Programs, Part III: Distributional Treatment Effects, Dynamic Treatment Effects, Dynamic Discrete Choice, and General Equilibrium Policy Evaluation

2. Estimating average causal effects under general interference, with application to a social network experiment

3. Heckman J. J. Lochner L. andTaber C.(1998). General equilibrium treatment effects: A study of tuition policy. Technical report National Bureau of Economic Research.

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