Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes

Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly () and Kaspar Wüthrich

University of California at San Diego, Economics Working Paper Series from Department of Economics, UC San Diego

Keywords: Counterfactual distribution; Decomposition analysis; Distribution regression; Quantile treatment effect; Uniform inference; Statistics; Econometrics; Demography; Statistics & Probability (search for similar items in EconPapers)
Date: 2020-01-02
New Economics Papers: this item is included in nep-dcm
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Citations: View citations in EconPapers (7)

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Related works:
Journal Article: Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (2020)
Working Paper: Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (2018)
Working Paper: Generic inference on quantile and quantile effect functions for discrete outcomes (2017)
Working Paper: Generic inference on quantile and quantile effect functions for discrete outcomes (2017)
Working Paper: Generic inference on quantile and quantile effect functions for discrete outcomes (2016)
Working Paper: Generic inference on quantile and quantile effect functions for discrete outcomes (2016)
Working Paper: Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (2016)
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