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) <doi:10.1111/j.1468-0262.2007.00738.x>, (iii) Identification is based on a Difference in Differences assumption (several varieties are available in the package e.g. Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> Callaway and Li (2019) <doi:10.3982/QE935>, Callaway, Li, and Oka (2018) <doi:10.1016/j.jeconom.2018.06.008>).
Version: 1.3.1 Depends: R (≥ 3.5) Imports: Hmisc, parallel, quantreg, BMisc, formula.tools, ggplot2, texreg, pbapply, data.table Suggests: rmarkdown, knitr, msm Published: 2022-09-01 DOI: 10.32614/CRAN.package.qte Author: Brantly Callaway [aut, cre] Maintainer: Brantly Callaway <brantly.callaway at uga.edu> License: GPL-2 NeedsCompilation: no Materials: README NEWS In views: CausalInference CRAN checks: qte results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=qte to link to this page.
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