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Nonlinear difference-in-difference treatment effect estimation : a distributional analysis

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Average derivative estimation with missing responses

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Growth and governance : a nonparametric analysis

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Nonlinear Difference-in-Difference Treatment Effect Estimation: A Distributional Analysis

Huynh, Kim P.; Jacho-Chávez, David T.; Voia, Marcel C. - In: Missing-data methods: cross-sectional methods and …, (pp. 247-268). 2011

This chapter uses the nonlinear difference-in-difference (NL-DID) methodology developed by Athey and Imbens (2006) to estimate the effects of a treatment program on the entire distribution of an outcome variable. The NL-DID estimates the entire counterfactual distribution of an outcome variable...

Persistent link: https://www.econbiz.de/10015380008