Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/18391
Title: mhbounds: Sensitivity Analysis for Average Treatment Effects
Keywords: ddc:330
matching
treatment effects
sensitivity analysis
unobserved heterogeneity
Schätztheorie
Sensitivitätsanalyse
Theorie
Statistical matching
Issue Date: 16-Oct-2013
Publisher: Deutsches Institut für Wirtschaftsforschung (DIW) Berlin
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.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/10419/18391
Other Identifiers: http://hdl.handle.net/10419/18391
ppn:523979053
Appears in Collections:EconStor

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