Package index • ptetools

Generic functions for panel data causal inference

aggte_obj(): Object to hold aggregated treatment effect results

attgt_if(): Class for holding returns from group-time specific estimates in settings when an influence function is returned

attgt_noif(): Class for holding returns from group-time specific estimates in settings when an influence function is not returned

attgt_pte_aggregations(): attgt_pte_aggregations

compute.pte(): compute.pte

dose_obj(): An object that holds results when there is a continuous treatment

group_time_att(): Class that holds causal effect parameter estimates across timing groups and time periods

gt_data_frame(): Checks if data satisfies criteria to be used in internal ptetools functions

overall_weights(): Computes weights across post-treatment groups and time periods to deliver overall treatment effect parameters

panel_empirical_bootstrap(): panel_empirical_bootstrap

process_att_gt(): process_att_gt

pte(): Panel Treatment Effects

pte_aggte(): Aggregates group-time specific effects into either an overall estimate or an event study

pte_attgt(): A flexible way to estimate ATT(g,t) using difference-in-differences or lagged outcome unconfoundedness, for a particular group and time period

pte_emp_boot(): Class to hold empirical bootstrap results

pte_params(): An object to carry around parameters in the ptetools package

pte_results(): Class for holding overall results with a staggered treatment, including an overall ATT and an event study

setup_pte(): A function for setting up data, etc. to use the ptetools package

setup_pte_basic(): Example function to setup data for using subsequent functions in the ptetools package

Group-time average treatment effects with a binary treatment

did_attgt(): Difference-in-differences estimates of ATT(g,t), given a group g and time period t.

pte_default(): Default, highly generic function for computing causal effects with staggered treatment adoption

Functions for dealing with a continuous treatment

pte_dose_results(): Class for holding results with a continuous treatment

process_dose_gt(): Processes results from each group and time period in settings with a continuous treatment.

Functions for dealing with distributional treatment effects

qott_pte_aggregations(): qott_pte_aggregations

qtt_pte_aggregations(): qtt_pte_aggregations

Functions for group-time specific subsets of data

keep_all_pretreatment_subset(): keep_all_pretreatment_subset

keep_all_untreated_subset(): keep_all_untreated_subset

two_by_two_subset(): two_by_two_subset

Plotting functions

ggpte(): The main plotting function in the ptetools package. It plots event studies.

ggpte_cont(): Plots dose-specific results in applications with a continuous treatment

Helper functions

crit_val_checks(): Performs sanity checks on critical values for forming uniform confidence bands

mboot2(): mboot2