Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Economics

Brigham Young University

Journal

2016

Monte Carlo

Articles 1 - 1 of 1

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 Feb 2016

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).