Code for estimating quantile regressions with measurement error. The first main set of functions estimates quantile regression with measurement error in the dependent variable using an EM-type-algorithm. The second set of functions estimates quantile regressions with measurement error in the outcome and in a continuous "treatment" variable. All functions allow for an arbitrary number of other covariates that are assumed not to be measured with error.
Author
Maintainer: Brantly Callaway brantly.callaway@uga.edu
Authors:
Brantly Callaway brantly.callaway@uga.edu
Tong Li tong.li@vanderbilt.edu
Irina Murtazashvili im99@drexel.edu
Emmanuel S. Tsyawo estsyawo@gmail.com