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This paper uses the control function to develop a framework for testing for selection bias. The idea behind our … magnitude of potential selection bias. Averaging this correction term with respect to appropriate weights yields the degree of … selection bias for alternative treatment effects of interest. One advantage of our framework is that it motivates when is …
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and show they behave well in realistic scenarios, correcting the large bias problem of the full sample estimator. We use …
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level does not fully alleviate the bias. In fact, the magnitude and direction of the bias depend on the size of the …
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and show they behave well in realistic scenarios, correcting the large bias problem of the full sample estimator. We use …
Persistent link: https://www.econbiz.de/10012458921
Using a rich and unique combined administrative-survey dataset, this paper explores how sensitive propensity score (PS) matching estimates of Active Labor Market Policies (ALMPs) based on the selection-on-observables assumption are to typically unobserved covariates. Using a sample of German...
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