Does Regression Produce Representative Estimates of Causal Effects?

With an unrepresentative sample, the estimate of a causal effect may fail to characterize how effects operate in the population of interest. What is less well understood is that conventional estimation practices for observational studies may produce the same problem even with a representative sample...

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Bibliographic details
Volume:	60
Main Author:	Peter M. Aronow Cyrus Samii
Format:	Journal Article
Language:	English
Zielgruppe:	Academic
Place of publication:	HOBOKEN Wiley Subscription Services, Inc 01.01.2016 WILEY
published in:	American journal of political science Vol. 60; no. 1; pp. 250 - 267
Data of publication:	20160101
ISSN:	0092-5853 1540-5907
EISSN:	1540-5907
Discipline:	Political Science
Bibliography:	reviewers, and the The authors thank Neal Beck, Allan Dafoe, Thad Dunning, Andrew Gelman, Don Green, Winston Lin, Vera Troeger, three AJPS editor for helpful comments, and Alan Gerber, Nathan Jensen, and Gregory Huber for the data and replication code that we use in our illustrations. Replication materials are available in the AJPS Data Archive on Dataverse http://dvn.iq.harvard.edu/dvn/dv/ajps .
Subjects:	AJPS WORKSHOP Representative sampling Linear regression Population estimates Inference Regression analysis Descriptive statistics Control variables Multiple regression Estimators Term weighting Government & Law Social Sciences Political Science INFERENCE REGIMES RANDOMIZATION
Online Access:	Fulltext
Database:	Social Sciences Citation Index Web of Science - Social Sciences Citation Index - 2016 Web of Knowledge Web of Science CrossRef Gale General OneFile (A&I only) Academic OneFile (A&I only) Database information Databases - DBIS