Unconditional Quantile Regressions Under Endogeneity

33 Pages Posted: 16 Apr 2016

Date Written: April 14, 2016

Abstract

This paper proposes an extension of the Unconditional Quantile Regression approach under strict exogeneity restriction (Firpo et al. (2009)) and allowing endogenous regressors in a nonseparable model (Rothe (2010)) by developing the asymptotic properties of the Unconditional Quantile Partial Effect (UQPE) estimator and the RIF (Re-centered Influence Function) regression function using the control variable approach in a triangular nonseparable model. Further, we show the robust inference procedure of the UQPE estimator. These results are not specific for only nonseparable model, but also apply to both linear and nonlinear additive separable models. Two empirical applications of estimating demand elasticity of fish and heterogeneous returns to education illustrate the usefulness of the UQPE estimator.

Keywords: Re-centered influence function, control variable, unconditional quantile partial effects, RIF regression, nonseparable triangular model

JEL Classification: C13, C14

Suggested Citation

Ghosh, Pallab, Unconditional Quantile Regressions Under Endogeneity (April 14, 2016). Available at SSRN: https://ssrn.com/abstract=2765035 or http://dx.doi.org/10.2139/ssrn.2765035

Pallab Ghosh (Contact Author)

University of Oklahoma ( email )

308 Cate Center Dr Room 158
Department of Economics
Norman, OK Oklahoma 73072
United States
4053252643 (Phone)

HOME PAGE: http://https://sites.google.com/site/pallabghoshou/home

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
330
Abstract Views
1,107
Rank
169,155
PlumX Metrics