Random Recursive Partitioning: a matching method for the estimation of the average treatment effect
Open Access
- 16 December 2008
- journal article
- research article
- Published by Wiley in Journal of Applied Econometrics
- Vol. 24 (1) , 163-185
- https://doi.org/10.1002/jae.1026
Abstract
No abstract availableKeywords
All Related Versions
This publication has 34 references indexed in Scilit:
- The Dangers of Extreme CounterfactualsPolitical Analysis, 2006
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity ScoreEconometrica, 2003
- Propensity Score-Matching Methods for Nonexperimental Causal StudiesThe Review of Economics and Statistics, 2002
- Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training ProgramsJournal of the American Statistical Association, 1999
- Affinely Invariant Matching Methods with Ellipsoidal DistributionsThe Annals of Statistics, 1992
- Optimal Matching for Observational StudiesJournal of the American Statistical Association, 1989
- The central role of the propensity score in observational studies for causal effectsBiometrika, 1983
- Bias Reduction Using Mahalanobis-Metric MatchingPublished by JSTOR ,1980
- Assignment to Treatment Group on the Basis of a CovariateJournal of Educational Statistics, 1977
- Multivariate Matching Methods That are Equal Percent Bias Reducing, II: Maximums on Bias Reduction for Fixed Sample SizesBiometrics, 1976