Package index • ptetools

Generic functions for panel data causal inference

attgt_pte_aggregations(): Aggregate Group-Time Average Treatment Effects
compute.pte(): Heavy-Lifting for pte Function
gt_data_frame(): Convert Data to Usable Format
overall_weights(): Weights for Overall Aggregation
panel_empirical_bootstrap(): Panel Empirical Bootstrap
process_att_gt(): Process ATT(g,t) Results
pte(): Panel Treatment Effects
pte_aggte(): Aggregates (g,t)-Specific Results
pte_attgt(): General ATT(g,t)
setup_pte(): Generic Setup Function
setup_pte_basic(): Basic Setup Function

Group-time average treatment effects with a binary treatment

covid_attgt(): Covid ATT(g,t) Estimator
did_attgt(): Difference-in-differences for ATT(g,t)
did_rcs_attgt(): Repeated Cross Sections Difference-in-Differences for ATT(g,t)
pte_default(): Default, General Function for Computing Treatment Effects with Panel Data
two_by_two_rcs_subset(): Two Period Two Group Repeated Cross Sections Subset

Functions for dealing with a continuous treatment

pte_dose_results(): Class for Continuous Treatment Results
process_dose_gt(): Process Results with a Continuous Treatment

Functions for dealing with distributional treatment effects

qott_pte_aggregations(): Aggregate Group-Time Quantile of the Treatment Effect
qtt_empirical_bootstrap(): Empirical Bootstrap for QTT Curves
qtt_pte_aggregations(): Aggregate Group-Time Quantile Treatment Effects

Functions for group-time specific subsets of data

keep_all_pretreatment_subset(): Keep All Pre-Treatment Subset
keep_all_untreated_subset(): Keep All Untreated Subset
two_by_two_subset(): Two Period Two Group Subset

Plotting functions

autoplot(<dose_obj>): autoplot.dose_obj
autoplot(<pte_emp_boot>): autoplot.pte_emp_boot
autoplot(<pte_qtt>): autoplot.pte_qtt
autoplot(<pte_results>): autoplot.pte_results
ggpte(): ggpte
ggpte_cont(): ggpte_cont
plot(<dose_obj>): plot.dose_obj
plot(<pte_emp_boot>): plot.pte_emp_boot
plot(<pte_qtt>): plot.pte_qtt
plot(<pte_results>): plot.pte_results

Helper functions

crit_val_checks(): Sanity Checks on Critical Values
mboot2(): Multiplier Bootstrap

Classes

aggte_obj(): Aggregated Treatment Effects Class
attgt_if(): Class for (g,t)-Specific Results with Influence Function
attgt_noif(): Class for (g,t)-Specific Results without Influence Function
dose_obj(): Class for Continuous Treatments
group_time_att(): Class for Estimates across Groups and Time
pte_emp_boot(): Class for Empirical Bootstrap Results
pte_params(): PTE Parameters Class
pte_qtt(): Class for QTT Curve Results
pte_results(): Class for PTE Results

Data

covid_data: State-level Covid-19 Data