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Full-Text Articles in Social and Behavioral Sciences
Quantile Treatment Effects With Endogeneity: A Monte Carlo Comparison Of 3 Quantile Iv Estimators, Alexander Poulsen, Brigham Frandsen
Quantile Treatment Effects With Endogeneity: A Monte Carlo Comparison Of 3 Quantile Iv Estimators, Alexander Poulsen, Brigham Frandsen
Journal of Undergraduate Research
Quantile instrumental variables estimators are a relatively new development in the econometric literature. Modern quantile regression was introduced in Koenker and Basset (1978), and has been used in many important applications in which researchers are interested in learning about the effects of variables on the distribution of an outcome variable, rather than just mean effects. Examples of these applications include changes in U.S. wage structure (Buchinsky 1994), the effect of school quality on student performance (Eide and Showalter 1998), and the relationship between innovation and firm growth (Coad and Rao 2008).