MHbounds -- sensitivity analysis for average treatment effects
By: by Sascha O. Becker, Marco Caliendo.
Contributors: Caliendo, Marco.
Series: Discussion paper -- no. 2542; Discussion paper (Forschungsinstitut zur Zukunft der Arbeit : Online) -- no. 2542
Publisher: IZA
Published: 2007
Place of publication: Bonn, Germany
Language: eng
Format: Electronic resource
Subjects: Statistical matching.; Estimation theory.
Description: "Matching has become a popular approach to estimate average treatment effects. It is based on the conditional independence or unconfoundedness assumption. Checking the sensitivity of the estimated results with respect to deviations from this identifying assumption has become an increasingly important topic in the applied evaluation literature. If there are unobserved variables which affect assignment into treatment and the outcome variable simultaneously, a hidden bias might arise to which matching estimators are not robust. We address this problem with the bounding approach proposed by Rosenbaum (2002), where mhbounds allows the researcher to determine how strongly an unmeasured variable must influence the selection process in order to undermine the implications of the matching analysis"--Forschungsinstitut zur Zukunft der Arbeit web site.
Notes: Title from PDF file as viewed on 3/16/2007.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.