Abstract:
nnmatch estimates the average treatment effect on depvar by comparing outcomes between treated and control observations (as defined by treatvar), using nearest neighbor matching across the variables defined in varlist_nnmatch. nnmatch can estimate either the treatment effect for the treated observations, for the controls, or for the sample as a whole. The program pairs observations to the closest m matches in the opposite treatment group to provide an estimate of the counterfactual treatment outcome. The program allows for matching over a multi-dimensional set of variables (varlist_nnmatch), giving options for the weighting matrix to be used in determining the optimal matches. It also allows exact matching (or as close as possible) on a subset of variables. In addition, the program allows for bias correction of the treatment effect, and estimation of either the sample or population variance, with or without assuming a constant treatment effect (homoskedasticity). Finally it allows observations to be used as a match more than once, thus making the order of matching irrelevant.
Language: Stata Requires: Stata version 8.0 Keywords:treatment effects; matching; bias-corrected estimator (search for similar items in EconPapers) Date: Written 2004-06-10 Note: This module may be installed from within Stata by typing "ssc install nnmatch". Windows users should not attempt to download these files with a web browser. View citations in EconPapers
More software in Statistical Software Components from Boston College Department of Economics Address: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA Contact information at EDIRC. Series data maintained by Christopher F Baum ().
This site is part of RePEc
and all the data displayed here is part of the RePEc data set.
Is your work missing from RePEc? Here is how to
contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .