Software Besides its interest in applied policy evaluation, the SEW also has a strong focus on developing new and improved microeconometric estimators, as demonstrated through numerous publications. Sense is it to make new estimators available to a wider audience. Usage of these estimators is free of charge but credit should be given to its source: i.e. citation of the original articles. For more recent matching software see the web pages of Michael Lechner. Most of the software is provided as Gauss code. If you use this code and translate it e.g. to Stata or Matlab, please let us know of your innovations. Gauss code for matching, IV and nonparametric regression estimators: LECHNER, HUBER, STEINMAYR: Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behavior (forthcoming in Empirical Economics) FRÖLICH (2007): Nonparametric IV estimation of local average treatment effects with co-variates,Journal of Econometrics (available online at Science Direct or here) -> Gauss code FRÖLICH (2006): Nonparametric regression for binary dependent variables, Econometrics Journal, 9, 511-540 -> Gauss code FRÖLICH (2004): Finite sample properties of propensity-score matching and weighting estimators, Review of Economics and Statistics, 86(1), 77-90 -> Gauss code Please do not hesitate to contact us in case of any questions.