This package implements the RRP algorithm introduced in Iacus-Porro (2009) and different functions to for the applications described in Iacus-Porro (2007). It also contains benchmark datasets in econometric average treatment effect estimation taken from the Lalonde (1986) paper.
|License:||GPL Version 2 or later.|
The main function is
Stefano M. Iacus
Maintainer: Stefano M. Iacus <[email protected]>
Iacus, S.M., Porro, G. (2009) Random Recursive Partitioning: a matching method for the estimation of the average treatment effect, Journal of Applied Econometrics, 24, 163-185.
Iacus, S.M., Porro, G. (2007) Missing data imputation, matching and other applications of random recursive partitioning, Computational Statistics and Data Analysis, 52, 2, 773-789.
Lalonde, R. (1986) Evaluating the Econometric Evaluations of Training Programs, American Economic Review, 76, 604-620.
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