Large Sample Properties of Matching Estimators for Average Treatment Effects
From MaRDI portal
Publication:5393886
DOI10.1111/j.1468-0262.2006.00655.xzbMath1112.62042OpenAlexW2171443468WikidataQ57568030 ScholiaQ57568030MaRDI QIDQ5393886
Alberto Abadie, Guido W. Imbens
Publication date: 24 October 2006
Published in: Econometrica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1468-0262.2006.00655.x
potential outcomesaverage treatment effectsunconfoundednessselection on observablesmatching estimators
Related Items (87)
A Penalized Synthetic Control Estimator for Disaggregated Data ⋮ The Landscape of Causal Inference: Perspective From Citation Network Analysis ⋮ Robust Post-Matching Inference ⋮ A simple ordered data estimator for inverse density weighted expectations ⋮ Model averaging in semiparametric estimation of treatment effects ⋮ A New Criterion for Confounder Selection ⋮ Quasi-likelihood estimation of average treatment effects based on model information ⋮ Efficient semiparametric estimation of multi-valued treatment effects under ignorability ⋮ Consistent model specification tests based on \(k\)-nearest-neighbor estimation method ⋮ Generalized Optimal Matching Methods for Causal Inference ⋮ k-NEAREST NEIGHBOR ESTIMATION OF INVERSE-DENSITY-WEIGHTED EXPECTATIONS WITH DEPENDENT DATA ⋮ Sufficient dimension reduction for average causal effect estimation ⋮ Effects of correlated covariates on the asymptotic efficiency of matching and inverse probability weighting estimators for causal inference ⋮ Covariate balancing propensity score for a continuous treatment: application to the efficacy of political advertisements ⋮ A Simple and Efficient Estimation of Average Treatment Effects in Models with Unmeasured Confounders ⋮ Robust Inference of Conditional Average Treatment Effects Using Dimension Reduction ⋮ Outcome-adjusted balance measure for generalized propensity score model selection ⋮ Data-driven algorithms for dimension reduction in causal inference ⋮ A simple and successful shrinkage method for weighting estimators of treatment effects ⋮ Estimation and inference on the joint conditional distribution for bivariate longitudinal data using Gaussian copula ⋮ Identification and Identification Failure for Treatment Effects Using Structural Systems ⋮ Estimating multiple treatment effects using two-phase semiparametric regression estimators ⋮ Confounding adjustment methods for multi-level treatment comparisons under lack of positivity and unknown model specification ⋮ Comparing Inference Methods for Non‐probability Samples ⋮ Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference ⋮ Large Sample Properties of Matching for Balance ⋮ Assignment-Control Plots: A Visual Companion for Causal Inference Study Design ⋮ The Generalized Oaxaca-Blinder Estimator ⋮ Using monotonicity restrictions to identify models with partially latent covariates ⋮ What's trending in difference-in-differences? A synthesis of the recent econometrics literature ⋮ Some recent developments in modeling quantile treatment effects ⋮ Yet another look at the omitted variable bias ⋮ An Improved Central Limit Theorem and Fast Convergence Rates for Entropic Transportation Costs ⋮ Model averaging for estimating treatment effects ⋮ Estimating treatment effects in the presence of unobserved confounders ⋮ Estimating Density Ratio of Marginals to Joint: Applications to Causal Inference ⋮ Complex discontinuity designs using covariates: impact of school grade retention on later life outcomes in Chile ⋮ The specification of the propensity score in multilevel observational studies ⋮ Neighborhood-based cross fitting approach to treatment effects with high-dimensional data ⋮ Recursive partitioning for heterogeneous causal effects ⋮ Matching methods for causal inference: a review and a look forward ⋮ Permutation Tests at Nonparametric Rates ⋮ Using Wasserstein generative adversarial networks for the design of Monte Carlo simulations ⋮ On the inefficiency of propensity score matching ⋮ Consistent estimation of linear regression models using matched~data ⋮ Combining Multiple Observational Data Sources to Estimate Causal Effects ⋮ Stronger instruments via integer programming in an observational study of late preterm birth outcomes ⋮ A two-step Bayesian approach for propensity score analysis: simulations and case study ⋮ The performance of estimators based on the propensity score ⋮ Matching on Generalized Propensity Scores with Continuous Exposures ⋮ Are private schools better than public schools? Appraisal for Ireland by methods for observational studies ⋮ Does the information content of payout initiations and omissions influence firm risks? ⋮ Covariate balancing propensity score by tailored loss functions ⋮ Robust inference on average treatment effects with possibly more covariates than observations ⋮ Matching estimators with few treated and many control observations ⋮ A Note on the Relation of Inverse-Probability-Weighting and Matching Estimators ⋮ Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery ⋮ Generalized Jackknife Estimators of Weighted Average Derivatives ⋮ Extremal quantile treatment effects ⋮ Estimation of causal effects with multiple treatments: a review and new ideas ⋮ Efficient propensity score regression estimators of multivalued treatment effects for the treated ⋮ A Martingale Representation for Matching Estimators ⋮ Matching and semi-parametric IV estimation, a distance-based measure of migration, and the wages of young men ⋮ Propensity score model specification for estimation of average treatment effects ⋮ Estimating effects with rare outcomes and high dimensional covariates: knowledge is power ⋮ Do debit cards increase household spending? Evidence from a semiparametric causal analysis of a survey ⋮ Treatment Evaluation in the Presence of Sample Selection ⋮ Nonparametric IV estimation of local average treatment effects with covariates ⋮ Learning causal effect using machine learning with application to China's typhoon ⋮ Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores ⋮ A nonlinear pseudo-hyperbolic system ⋮ COMBINING ESTIMATES OF CONDITIONAL TREATMENT EFFECTS ⋮ Measuring model misspecification: application to propensity score methods with complex survey data ⋮ Causal inference: a missing data perspective ⋮ Treatment effects in sample selection models and their nonparametric estimation ⋮ Kernel Balancing: A flexible non-parametric weighting procedure for estimating causal effects ⋮ Inference for Misspecified Models With Fixed Regressors ⋮ Statistical analysis and evaluation of macroeconomic policies: a selective review ⋮ Correlation and efficiency of propensity score-based estimators for average causal effects ⋮ Identification of subpopulations with distinct treatment benefit rate using the Bayesian tree ⋮ Analysing the causal effect of London cycle superhighways on traffic congestion ⋮ Automated versus do-it-yourself methods for causal inference: lessons learned from a data analysis competition ⋮ A matching estimator of household equivalence scales ⋮ Estimation of average treatment effect based on a semiparametric propensity score ⋮ Bounds on the conditional and average treatment effect with unobserved confounding factors ⋮ Comments on: Model-free model-fitting and predictive distributions ⋮ Predicting the efficacy of future training programs using past experiences at other locations
Uses Software
This page was built for publication: Large Sample Properties of Matching Estimators for Average Treatment Effects
