Retrospective Causal Inference with Machine Learning Ensembles: An Application to Anti-recidivism Policies in Colombia

We present new methods to estimate causal effects retrospectively from micro data with the assistance of a machine learning ensemble. This approach overcomes two important limitations in conventional methods like regression modeling or matching: (i) ambiguity about the pertinent retrospective counte...

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Bibliographic details
Volume:	24
Main Author:	Samii, Cyrus Paler, Laura Daly, Sarah Zukerman
Format:	Journal Article
Language:	English
Place of publication:	New York, US Cambridge University Press 20160000 Oxford University Press CAMBRIDGE UNIV PRESS
published in:	Political analysis Vol. 24; no. 4; pp. 434 - 456
Data of publication:	20160000
ISSN:	1047-1987 1476-4989
EISSN:	1476-4989
Alternate Title:	Retrospective Causal Inference Cyrus Samii et al.
Discipline:	Political Science
Subjects:	Articles Contrafactuals Employment Linear regression Machine learning Recidivism Population estimates Inference Employment indices Estimators Estimation methods Government & Law Social Sciences Political Science REGRESSION MODELS BIAS
Online Access:	available in Bonn?
Database:	Social Sciences Citation Index Web of Science - Social Sciences Citation Index - 2016 Web of Knowledge Web of Science CrossRef Database information Databases - DBIS