Abstract
A semiparametric technique that has been gaining considerable popularity in economics, the quantile regression model has a number of attractive features. For example, it can be used to characterize the entire conditional distribution of a dependent variable given a set of regressors; it has a linear programming representation which makes estimation easy; and it gives a robust measure of location. Concentrating on cross-section applications, this article presents the basic structure of the quantile regression model, highlights the most important features, and provides the elementary tools for using quantile regressions in empirical applications.
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Buchinsky, M. (2018). Quantile Regression. In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95189-5_2795
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DOI: https://doi.org/10.1057/978-1-349-95189-5_2795
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