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Aufgrund ihrer Nähe zum Konzept kontrafaktischer Kausalität haben nichtparametrische Matchingverfahren in der neueren statistischen und ökonometrischen Literatur zur Kausalanalyse an Bedeutung gewonnen. Vor diesem Hintergrund führt der Beitrag das Rubin Causal Model (RCM) in die...
Persistent link: https://www.econbiz.de/10010260677
This paper explores the implications of possible bias cancellation using Rubin-style matching methods with complete and incomplete data. After reviewing the na?ve causal estimator and the approaches of Heckman and Rubin to the causal estimation problem, we show how missing data can complicate...
Persistent link: https://www.econbiz.de/10010260764
Propensity score matching provides an estimate of the effect of a 'treatment' variable on an outcome variable that is largely free of bias arising from an association between treatment status and observable variables. However, matching methods are not robust against 'hidden bias' arising from...
Persistent link: https://www.econbiz.de/10010304029
Persistent link: https://www.econbiz.de/10001565458
Persistent link: https://www.econbiz.de/10001971194
This paper explores the implications of possible bias cancellation using Rubin-style matching methods with complete and incomplete data. After reviewing the naı̈ve causal estimator and the approaches of Heckman and Rubin to the causal estimation problem, we show how missing data can complicate...
Persistent link: https://www.econbiz.de/10011434078