Inference For Quantile Functions
Inference for Quantile Functions is a statistical methodology within order statistics that involves the estimation and hypothesis testing of quantile functions to characterize population distributions based on sample data.
803
Publications
44.8K
Citations
1.4K
Authors
749
Institutions
Publications per year
2017–2026
214
Parents
803
Unconditional Quantile Regressions
Sérgio Firpo, Nicole M. Fortin, Thomas Lemieux · Econometrica · 2009 · 2.2K citations
A simple approach to quantile regression for panel data
Ivan A. Canay · Econometrics Journal · 2011 · 1.1K citations
An IV Model of Quantile Treatment Effects
Victor Chernozhukov, Christian Hansen · Econometrica · 2004 · 985 citations · Full text
1–5 of 803
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Massachusetts Institute of Technology, United States
16 publications · 1.6K citations
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University of Illinois Urbana-Champaign
Urbana, United States
17 h-index
25 publications
4.2K citations

Pennsylvania State University
State College, United States
13 h-index
22 publications
914 citations
North Carolina State University
Raleigh, United States
12 h-index
28 publications
1.2K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
11 h-index
13 publications
564 citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
23 publications
405 citations

Renmin University of China
Beijing, China
10 h-index
13 publications
362 citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
13 publications
2.5K citations

Cornell University
Ithaca, United States
10 h-index
13 publications
1.4K citations
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38 publications · 2.6K citations
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CSDA · 34 publications · 1.3K citations
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31 publications · 4.1K citations
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30 publications · 882 citations
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26 publications · 851 citations
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