1 edition of Bandwidth selection and the estimation of treatment effects with unbalanced data found in the catalog.
Title from PDF file as viewed on 10/10/2007.Includes bibliographical references.Also available in print.System requirements: Adobe Acrobat Reader.Mode of access: World Wide Web.
|The Physical Object|
|Pagination||xvi, 86 p. :|
|Number of Pages||45|
|2||Discussion paper (Forschungsinstitut zur Zukunft der Arbeit : Online) -- no. 3095|
|3||Discussion paper -- no. 3095|
This paper addresses the selection of smoothing parameters for estimating the average treatment effect on the treated using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions containing the mass of the treated units, we define and implement weighted cross-validation approaches that improve over conventional methods by considering the location of the treated units in the selection of the smoothing parameters. We also implement a locally varying bandwidth method that uses larger bandwidths in areas where the mass of the treated units is located. A Monte Carlo study compares our proposed methods to the conventional unweighted method and to a related method inspired by Bergemann et al. (2005). The Monte Carlo analysis indicates efficiency gains from all methods that take account of the location of the treated units. We also apply all five methods to bandwidth selection in the context of the data from LaLondes (1986) study of the performance of non-experimental estimators using the experimental data from the National Supported Work (NSW) Demonstration program as a benchmark. Overall, both the Monte Carlo analysis and the empirical application show feasible precision gains for the weighted cross-validation and the locally varying bandwidth approaches--Forschungsinstitut zur Zukunft der Arbeit web site. File Size: 4MB.
Guide to Reviews of Books from and About Hispanic America/Guia a Las Resenas De Libros De Y Sobre Hispanoamericana, 1986
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Final Version Heckman, James, and Jeffrey Smith.
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