Package index • qte

Cross-sectional estimators

Estimators for the QTE and QTT under unconfoundedness (no panel data required).

unc_qte(): unc_qte

Panel and repeated cross-section estimators

Estimators for the QTT using panel or repeated cross-section data. All support staggered treatment adoption via ptetools.

cic(): Change in Changes
cic_gt(): Change in Changes: group-time estimator
qdid(): Quantile Difference-in-Differences
qdid_gt(): Quantile Difference-in-Differences: group-time estimator
panel_qtt(): Panel QTT (Callaway-Li 2019)
panel_qtt_gt(): Panel QTT: group-time estimator (Callaway-Li 2019)
ddid(): Distributional Difference-in-Differences
ddid_gt(): Distributional DiD: group-time estimator
mdid(): Mean Difference-in-Differences
mdid_gt(): Mean Difference-in-Differences: group-time estimator
lou_qtt(): Lagged Outcome Unconfoundedness QTT

Package overview

qte qte-package: qte: A package for computing quantile treatment effects

Output and plotting

The QTE S3 class returned by unc_qte(), and methods for printing, summarising, and plotting.

QTE(): QTE
summary(<QTE>): Summary
print(<summary.QTE>): Print summary.QTE
plot(<QTE>): plot.QTE
autoplot(<QTE>): autoplot.QTE
ggqte(): ggqte

Data

Datasets bundled with the package.

lalonde: Lalonde (1986)'s NSW Dataset
lalonde.exp: Lalonde's Experimental Dataset
lalonde.exp.panel: Lalonde's Panel Experimental Dataset
lalonde.psid: Lalonde's Observational Dataset
lalonde.psid.panel: Lalonde's Panel Observational Dataset