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Innovations are a key factor to ensure the competitiveness of establishments as well as to enhance the growth and wealth of nations. But more than any other economic activity, decisions about innovations are plagued by failures of the market mechanism. As a response, public instruments have been implemented to stimulate private innovation activities. The effectiveness of these measures, however, is ambiguous and calls for an empirical evaluation. In this paper we make use of the IAB Establishment Panel and apply various microeconometric methods to estimate the effect of public measures on innovation activities of German establishments. We find that neglecting sample selection due to observable as well as to unobservable characteristics leads to an overestimation of the treatment effect and that there are considerable differences with regard to size class and betweenWest and East German establishments.
Persistently high unemployment, tight government budgets and the growing scepticism regarding the effects of active labour market policies (ALMP) are the basis for a growing interest in evaluating these measures. This paper intends to 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 estimations of ALMP effects. JEL Classification: C14, C33, H43, J64, J68
This study analyses the effects of public sector sponsored vocational training (PSVT) on individuals’ unemployment duration in West Germany for the period from 1985 to 1993. The data is taken from the German Socio-Economic Panel (GSOEP). To resolve the intriguing sample selection problem, i.e. to find an adequate control group for the group of trainees, we employ matching methods. These matching methods use the individual propensity to participate in training, which is obtained by estimating a panel probit model as the main matching variable. On the basis of the matched sample a discrete time hazard rate model is utilized to assess the effects of training participation on unemployment duration. Our results indicate that a significant positive effect on reemployment chances due to PSVT can only be expected for courses with a duration of no longer than six months. No significant positive effects on post-training reemployment chances where found for courses lasting longer than six months. In fact these PSVT courses are significantly less effective at increasing reemployment chances than those lasting no longer than three months. JEL classification: C40, J20, J64
This paper provides a review of empirical evidence relating to the impact of training on employment performance. Since a central issue in estimating training effects is the sample selection problem a short theoretical discussion of different evaluation strategies is given. The empirical overview primarily focuses on non-experimental evidence for Germany. In addition selected studies for other countries and experimental investigations are discussed.
In this study we are concerned with the impact of vocational training on the individual’s unemployment duration in West Germany. The data basis used is the German Socio-Economic Panel (GSOEP) for the period from 1984 to 1994. To resolve the intriguing sample selection problem, i.e. to find an adequate control group for the group of trainees, we employ matching methods which were developed in the statistical literature. These matching methods uses as the main matching variable the individual propensity score to participate in training, which is obtained by estimating a random effects probit model. On the basis of the matched sample a discrete time hazard rate model is utilized to assess the impact of vocational training on unemployment duration. Our results indicate, that training significantly raises the transition rate of unemployed into employment in the short but not in the long run. JEL classification: C40, J20, J64
We estimate a semiparametric single-risk discrete-time duration model to assess the effect of vocational training on the duration of unemployment spells. The data basis used in this study is the German Socio-Economic-Panel (GSOEP) for West Germany for the period from 1986 to 1994. To take into account a possible selection bias actual participation in vocational training is instrumented using estimates of a randomeffects probit model for the participation in qualification measures. Our main results show that training does have a significant short term effect of reducing unemployment duration but that this effect does not persist in the long run. JEL classifications: C41, J20, J64
This paper is intended as a short survey of the most relevant methods for grouped transition data. The fundamentals of duration analysis are discussed in a continuous time framework, whereas the treatment of methods for discrete durations is limited to the peculiarity of these models. In addition, some recent empirical applications of the methods are discussed.