Quantile Treatment Effects

Provides several methods for computing the Quantile Treatment Effect (QTE) and Quantile Treatment Effect on the Treated (QTET). 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), (iii) Identification is based on a Difference in Differences assumption (several varieties are available in the package).


Reference manual

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1.2.0 by Brantly Callaway, 5 months ago

Browse source code at https://github.com/cran/qte

Authors: Brantly Callaway [aut, cre]

Documentation:   PDF Manual  

GPL-2 license

Imports Hmisc, parallel, quantreg, BMisc, formula.tools, ggplot2, texreg

Suggests knitr, rmarkdown

Imported by csabounds.

See at CRAN