CRAN

qte 1.3.0

Quantile Treatment Effects

Released Jun 10, 2019 by Brantly Callaway

This package cannot yet be used with Renjin it depends on other packages which are not available: quantreg 5.41, knitr 1.23, and Hmisc 4.2-0 An older version of this package is more compatible with Renjin.

Dependencies

quantreg 5.41 Hmisc 4.2-0 knitr 1.23 ggplot2 3.2.0 texreg 1.36.23 msm 1.6.7 BMisc 1.3.1 pbapply 1.4-0 formula.tools 1.7.1

Provides several methods for computing the Quantile Treatment Effect (QTE) and Quantile Treatment Effect on the Treated (QTT). The main cases covered are (i) Treatment is randomly assigned, (ii) Treatment is as good as randomly assigned after conditioning on some covariates (also called conditional independence or selection on observables) using the methods developed in Firpo (2007) , (iii) Identification is based on a Difference in Differences assumption (several varieties are available in the package e.g. Athey and Imbens (2006) Callaway and Li (2019) , Callaway, Li, and Oka (2018) ).

Source

R

View GitHub Mirror

Release History