growth of assisted firms. To estimate causal effects a non-parametric matching procedure is used to draw an adequate control …

statistical matching procedure an adequate control group for comparison with the group of venture-backed firms is drawn. Matching …

training. A non-parametric matching approach is applied to estimate the average program effects. Moreover, the results obtained … by matching are compared to results from standard linear regression and probit models, and a polychotomous selectivity …

-employment probability, and probability of regular education. A non-parametric matching approach based on conditional independence assumption … is applied to estimate the average program effects. Moreover, the results obtained by matching are compared to results …

-parametric matching approach. The matching approach allows to find a surviving firm for every market exit that does not differ in …

statistical matching procedure an adequate control group for comparison with the group of venture-backed firms is drawn. The …

Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless …

explain the need for evaluation on the micro- and macroeconomic level, introduce the fundamental evaluation problem and … solutions to it, give an overview of the newer developments in evaluation literature and finally take a look on empirical …

Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless …

characteristics. We propose the use of propensity score matching methods, and implement them using data from the NSW experiment. …