• pscore

  • Referenced in 9 articles [sw37358]
  • Estimation of average treatment effects based on propensity scores. In this paper, we give...
  • Zelig

  • Referenced in 9 articles [sw17526]
  • interest (such as relative risk ratios, average treatment effects, first differences and predicted and expected...
  • rdrobust

  • Referenced in 7 articles [sw16277]
  • study the (local) causal effect of a treatment, intervention or policy. This package provides tools ... estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy...
  • DRDID

  • Referenced in 5 articles [sw37205]
  • differences (DiD) estimators for the average treatment effect proposed by Sant’Anna and Zhao...
  • nnmatch

  • Referenced in 3 articles [sw37362]
  • Implementing matching estimators for average treatment effects in Stata. This paper presents an implementation ... matching estimators for average treatment effects in Stata. The nnmatch command allows you to estimate...
  • PSW

  • Referenced in 2 articles [sw35702]
  • effect, and (5) augmented estimation of treatment effect with outcome regression. The weighting methods include ... probability weight (IPW) for estimating the average treatment effect (ATE), the IPW for average treatment ... treated (ATT), the IPW for the average treatment effect of the controls (ATC), the matching...
  • simcausal

  • Referenced in 4 articles [sw25111]
  • evaluate treatment-specific means, the average treatment effects and coefficients from working marginal structural models...
  • ATE

  • Referenced in 2 articles [sw35701]
  • package ATE: Inference for Average Treatment Effects using Covariate Balancing. Nonparametric estimation and inference ... average treatment effects based on covariate balancing...
  • ArCo

  • Referenced in 3 articles [sw27883]
  • ArCo) methodology to estimate causal effects of an intervention (treatment) on aggregated data and when ... peers. In the second-stage, the average treatment effect over the post-intervention sample...
  • rdbwselect

  • Referenced in 3 articles [sw37435]
  • 2014d, Econometrica 82: 2295–2326) for average treatment effects at the cutoff in sharp...
  • FLAME

  • Referenced in 3 articles [sw36879]
  • high quality matches to estimate conditional average treatment effects (CATEs). Our experiments show that FLAME...
  • estCI

  • Referenced in 1 article [sw39395]
  • class of sample average treatment effects. We derive new variance formulas for inference ... general class of estimands of causal average treatment effects in a randomized control trial ... objective is inference on sample average treatment effect of the treated (SATT), a consistent variance ... estimand is equal to the sample average treatment effect (SATE) in expectation, potentially large differences...
  • PSweight

  • Referenced in 2 articles [sw35697]
  • inference of average causal effects with binary and multiple treatments using overlap weights ... inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching...
  • CausalGAM

  • Referenced in 2 articles [sw15401]
  • This package implements various estimators for average treatment effects—an inverse probability weighted (IPW) estimator...
  • causalweight

  • Referenced in 2 articles [sw35698]
  • Double Machine Learning. Various estimators of causal effects based on inverse probability weighting, doubly robust ... package includes methods for estimating average treatment effects, direct and indirect effects in causal mediation...
  • etregress

  • Referenced in 1 article [sw40182]
  • endogenous treatment effects. etregress estimates an average treatment effect (ATE) and the other parameters ... regression model augmented with an endogenous binary-treatment variable. Estimation is by full maximum likelihood ... used to estimate the average treatment effect on the treated (ATET) when the outcome...
  • mhbounds

  • Referenced in 1 article [sw37504]
  • Sensitivity analysis for average treatment effects. Based on the conditional independence or unconfoundedness assumption, matching ... become a popular approach to estimate average treatment effects. Checking the sensitivity of the estimated...
  • madr

  • Referenced in 1 article [sw16672]
  • package madr. Estimates average treatment effects using model average double robust (MA-DR) estimation...
  • wfe

  • Referenced in 1 article [sw23425]
  • used to estimate the average treatment effects under different identification strategies. This includes stratified randomized...
  • ri

  • Referenced in 1 article [sw38172]
  • features, the package facilitates estimation of average treatment effects, constant effects variance estimation, randomization inference...