Arbeitspapier

Mhbounds - sensitivity analysis for average treatment effects

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.

Language
Englisch

Bibliographic citation
Series: IZA Discussion Papers ; No. 2542

Classification
Wirtschaft
Subject
Schätztheorie
Sensitivitätsanalyse
Theorie

Event
Geistige Schöpfung
(who)
Becker, Sascha O.
Caliendo, Marco
Event
Veröffentlichung
(who)
Institute for the Study of Labor (IZA)
(where)
Bonn
(when)
2007

Handle
URN
urn:nbn:de:101:1-20080425540
Last update
20.09.2024, 8:21 AM CEST

Data provider

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Object type

  • Arbeitspapier

Associated

  • Becker, Sascha O.
  • Caliendo, Marco
  • Institute for the Study of Labor (IZA)

Time of origin

  • 2007

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