Non‐parametric inference on (conditional) quantile differences and interquantile ranges, using L‐statistics

Author:

Goldman Matt1,Kaplan David M.2

Affiliation:

1. Microsoft Research, Redmond WA, 98052, USA mattgold@microsoft.com

2. Department of Economics, University of Missouri 118 Professional Bldg, 909 University Ave, Columbia MO, 65211, USA kaplandm@missouri.edu

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics

Reference41 articles.

1. Quantile regression under misspecification, with an application to the U.S. wage structure;Angrist;Econometrica,2006

2. Power to the people: evidence from a randomized field experiment on community‐based monitoring in Uganda;Björkman;Quarterly Journal of Economics,2009

3. On a simple estimate of the reciprocal of the density function;Bloch;Annals of Mathematical Statistics,1968

4. On the effect of bias estimation on coverage accuracy in nonparametric inference;Calonico;Journal of the American Statistical Association,2017

5. Robust nonparametric confidence intervals for regression‐discontinuity designs;Calonico;Econometrica,2014

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