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Quantile Regression: An Overview

  • Daniel P. McMillen
Chapter
Part of the SpringerBriefs in Regional Science book series (BRIEFSREGION)

Abstract

Linear regression is the standard tool for empirical studies in most of the social sciences. When the relationship between a dependent variable, y, and a set of explanatory variables, X, can be written as \( y = X\beta + u \), a simple ordinary least squares (OLS) regression of y on X can potentially provide unbiased estimates of the parameters, β, and a predicted value, \( \widehat{y} = X\widehat{\beta } \) is the best guess of the value of y given values for X. A glance at any journal in the social sciences quickly reveals the dominance of regression analysis as the tool for empirical analysis.

Keywords

Ordinary Little Square House Price Quantile Regression Ordinary Little Square Regression Sale Price 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© The Author(s) 2013

Authors and Affiliations

  • Daniel P. McMillen
    • 1
  1. 1.Department of Economics Institute of Government and Public AffairsUniversity of IllinoisUrbanaUSA

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