Minimizing bias in selection on observables estimators when unconfoundness fails
Year of publication: |
2008
|
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Authors: | Millimet, Daniel L. ; Tchernis, Rusty |
Publisher: |
Bonn : Institute for the Study of Labor (IZA) |
Subject: | Schätztheorie | Bias | Stichprobenverfahren | Statistischer Test | Schätzung | Schüler | Gemeinschaftsgastronomie | Gesundheitsrisiko | USA | Treatment effects | propensity score | bias | unconfoundedness | selection on unobservables |
Series: | IZA Discussion Papers ; 3632 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 576953385 [GVK] hdl:10419/34846 [Handle] |
Classification: | C21 - Cross-Sectional Models; Spatial Models |
Source: |
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Minimizing bias in selection on observables estimators when unconfoundness fails
Millimet, Daniel L., (2008)
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Minimizing Bias in Selection on Observables Estimators When Unconfoundness Fails
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Minimizing Bias in Selection on Observables Estimators When Unconfoundness Fails
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