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).
|Author||Brantly Callaway [aut, cre]|
|Date of publication||2017-06-19 13:56:40 UTC|
|Maintainer||Brantly Callaway <[email protected]>|
|Package repository||View on CRAN|
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