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A Complete Framework for Model-Free Difference-in-Differences Estimation - Daniel J. Henderson, Stefan Sperlich

A Complete Framework for Model-Free Difference-in-Differences Estimation

Buch | Softcover
106 Seiten
2023
now publishers Inc (Verlag)
978-1-63828-276-1 (ISBN)
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Proposes a complete framework for data-driven difference-in-differences analysis with covariates, in particular nonparametric estimation and testing. The authors start with simultaneously choosing confounders and a scale of the outcome along identification conditions.
A Complete Framework for Model-Free Difference-in-Differences Estimation proposes a complete framework for data-driven difference-in-differences analysis with covariates, in particular nonparametric estimation and testing. The authors start with simultaneously choosing confounders and a scale of the outcome along identification conditions. They estimate first heterogeneous treatment effects stratified along the covariates, then the average effect(s) for the treated. This provides the asymptotic and finite sample behaviour of our estimators and tests, bootstrap procedures for their standard errors and p-values, and an automatic bandwidth choice. The pertinence of these methods is shown with a study of the impact of the Deferred Action for Childhood Arrivals program on educational outcomes for non-citizen immigrants in the US.

1. Introduction
2. Model-Free Approach
3. Nuts and Bolts
4. Application: Human Capital Responses to DACA
Acknowledgements
Appendices
References

Erscheinungsdatum
Reihe/Serie Foundations and Trends® in Econometrics
Verlagsort Hanover
Sprache englisch
Maße 156 x 234 mm
Gewicht 162 g
Themenwelt Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 1-63828-276-5 / 1638282765
ISBN-13 978-1-63828-276-1 / 9781638282761
Zustand Neuware
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