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Vocational training programmes have been the most important active labour market policy instrument in Germany in the last years. However, the still unsatisfying situation of the labour market has raised doubt on the efficiency of these programmes. In this paper, we analyse the effects of the participation in vocational training programmes on the duration of unemployment in Eastern Germany. Based on administrative data for the time between the October 1999 and December 2002 of the Federal Employment Administration, we apply a bivariate mixed proportional hazards model. By doing so, we are able to use the information of the timing of treatment as well as observable and unobservable influences to identify the treatment effects. The results show that a participation in vocational training prolongates the unemployment duration in Eastern Germany. Furthermore, the results suggest that locking-in effects are a serious problem of vocational training programmes. JEL Classification: J64, J24, I28, J68
Job creation schemes (JCS) have been one important programme of active labour market policy in Germany aiming at the re-integration of hard-to-place unemployed individuals into regular employment. In ontrast to earlier evaluation studies of these programmes based on survey data, we use administrative data containing more than 11,000 participants for our analysis and hence, can take effect heterogeneity explicitly into account. We focus on effect heterogeneity caused by differences in the implementation of programmes (economic sector, types of support and implementing institutions). The results are rather discouraging and show that in general, JCS are unable to improve the re-integration chances of participants into regular employment.
In this paper we evaluate the employment effects of job creation schemes on the participating individuals in Germany. Job creation schemes are a major element of active labour market policy in Germany and are targeted at long-term unemployed and other hard-to-place individuals. Access to very informative administrative data of the Federal Employment Agency justifies the application of a matching estimator and allows to account for individual (group-specific) and regional effect heterogeneity. We extend previous studies in four directions. First, we are able to evaluate the effects on regular (unsubsidised) employment. Second, we observe the outcome of participants and non-participants for nearly three years after programme start and can therefore analyse mid- and long-term effects. Third, we test the sensitivity of the results with respect to various decisions which have to be made during implementation of the matching estimator, e.g. choosing the matching algorithm or estimating the propensity score. Finally, we check if a possible occurrence of 'unobserved heterogeneity' distorts our interpretation. The overall results are rather discouraging, since the employment effects are negative or insignificant for most of the analysed groups. One notable exception are long-term unemployed individuals who benefit from participation. Hence, one policy implication is to address programmes to this problem group more tightly. JEL Classification: J68, H43, C13
Previous empirical studies of job creation schemes in Germany have shown that the average effects for the participating individuals are negative. However, we find that this is not true for all strata of the population. Identifying individual characteristics that are responsible for the effect heterogeneity and using this information for a better allocation of individuals therefore bears some scope for improving programme efficiency. We present several stratification strategies and discuss the occurring effect heterogeneity. Our findings show that job creation schemes do neither harm nor improve the labour market chances for most of the groups. Exceptions are long-term unemployed men in West and long-term unemployed women in East and West Germany who benefit from participation in terms of higher employment rates. JEL: C13 , J68 , H43
This paper provides an empirical assessment of hypotheses that identify causes of demand side constraints of individual labour supply. In a comparative study for the USA and the FRG we focus on analysing the effect of productivity gaps (industry wage growth beyond productivity growth), industry investment intensity and regional labour market conditions on individual employment probabilities. Furthermore, we investigate whether demand side constraints of labour supply can be caused by a spill over from commodity markets. Efficiency wage theory and the theory of inter-industry wage differentials are utilised to derive identifying restrictions that are applicable to the labour supply models for both countries. The econometric contribution of the paper is the derivation and application of a two step estimation method for the class of simultaneous random effects double hurdle models, of which the labour supply model employed in this paper is a special case. To provide the empirical basis for the comparative study, the Panel Study of Income Dynamics and the German Socio-Economic Panel are linked to the OECD’s International Sectoral Database. JEL classification: C33, C34, J64, O57
Modelling consumer behaviour in a profile design using a three equation generalised Tobit model
(1997)
We propose the application of a three equation generalised Tobit to model different aspects of consumer behaviour in a full profile study design. The model takes into account that consumer behaviour can be measured by preference scores, purchase probability and purchase volume. We aim to avoid the drawbacks of traditional conjoint analysis where the latter two aspects are disregarded. Starting from a full profile design, we develop the appropriate questionnaire layout, the econometric model, the likelihood function and tests. The model is applied in a market entry study for an innovative medicament after a reform of Germany´s public health system in 1993-1994. JEL Classification: C35,M31,L65
Most evaluation studies of active labour market policies (ALMP) focus on the microeconometric evaluation approach using individual data. However, as the microeconometric approach usually ignores impacts on the non-participants, it should be seen as a first step to a complete evaluation which has to be followed by an analysis on the macroeconomic level. As a starting point for our analysis we discuss the effects of ALMP in a theoretical labour market framework augmented by ALMP. We estimate the impacts of ALMP in Germany for the time period 1999-2001 with regional data of 175 labour office districts. Due to the high persistence of German labour market data the application of a dynamic model is crucial. Furthermore our analysis accounts especially for the inherent simultaneity problem of ALMP. For West Germany we find positive effects of vocational training and job creation schemes on the labour market situation, whereas the results for East Germany do not allow profound statements. JEL Classification: C33, E24, H43, J64, J68.
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 paper evaluates the effects of job creation schemes on the participating individuals in Germany. Since previous empirical studies of these measures have been based on relatively small datasets and focussed on East Germany, this is the first study which allows to draw policy-relevant conclusions. The very informative and exhaustive dataset at hand not only justifies the application of a matching estimator but also allows to take account of threefold heterogeneity. The recently developed multiple treatment framework is used to evaluate the effects with respect to regional, individual and programme heterogeneity. The results show considerable differences with respect to these sources of heterogeneity, but the overall finding is very clear. At the end of our observation period, that is two years after the start of the programmes, participants in job creation schemes have a significantly lower success probability on the labour market in comparison to matched non-participants.
This paper evaluates the effects of job creation schemes on the participating individuals in Germany. Since previous empirical studies of these measures have been based on relatively small datasets and focussed on East Germany, this is the first study which allows to draw policy-relevant conclusions. The very informative and exhaustive dataset at hand not only justifies the application of a matching estimator but also allows to take account of threefold heterogeneity. The recently developed multiple treatment framework is used to evaluate the effects with respect to regional, individual and programme heterogeneity. The results show considerable differences with respect to these sources of heterogeneity, but the overall finding is very clear. At the end of our observation period, that is two years after the start of the programmes, participants in job creation schemes have a significantly lower success probability on the labour market in comparison to matched non-participants. JEL Classification: H43, J64, J68, C13, C40
In recent econometric work, most analyses of female labour supply consider married women, whereas the results for unmarried women are provided rather as a by-product (Burtless/Greenberg, 1982, Johnson/Pencavel, 1984, Leu/Kugler, 1986, Merz, 1990,). When the particular interest is focused on unmarried women, data of the seventies or rather simple econometric models are used (Keeley et al., 1978, Hausman, 1980, Coverman/Kemp, 1987) . Often very specific populations are examined, like for example lone mothers in Blundell/Duncan/Meghir (1992), Jenkins (1992), Staat/Wagenhals (1993) or Laisney et al. (1993). Analysing the economic behaviour of unmarried women, one is confronted with the problem that the term ‘unmarried’ is not clearly defined. It includes single, divorced, separated and widowed women. They live in different types of households, like one-person households or family households, where they occupy different economic positions as for example head of the household or relative of the head. The present work considers unmarried female heads of household. We assume that the dominant economic position as head of household, voluntarily or involuntarily occupied, forces these women to a similar behaviour independent from their family status. Thus they are taken together in the analysis from the different family statuses: single, divorced, separated and widowed. Being unmarried often is regarded as a temporary state, voluntarily or involuntarily, for example in the case of young women before marriage or in the case of divorced women after their separation. Nevertheless the demographic development shows the increased importance of unmarried women in the population during the last decades. In the USA the portion of female headed households raised from 21,1% in 1970 to 26,2% in 1980 and 29,0% in 1992 (Statistical Abstracts of the United States, 1993. Own calculations). In the FRG, female headed households constitute 26,4% of total households in 1970, 27,4% in 1980 and 30,1% in 1992 (Stat.Bundesamt, FS 1, Reihe 3, 1970, 1980, 1992). Therefore it seems an interesting topic to analyse the labour supply behaviour of unmarried female heads. Especially the question whether the labour supply of unmarried women resembles rather that of married women or of prime-age males is of particular interest. Another purpose of this analysis is to apply modern econometric panel data models with special emphasis on the problem of unbalanced panel data. Most panel data analyses are carried out using balanced panel data, which is no problem if the selection process could be ignored and if enough cases are available to guarantee efficient estimation. Especially the last point was crucial for the present analysis of unmarried females. In the available panel data sets the unmarried female heads constitute only a rather small population. Therefore the estimation techniques were modified to take missing observations of the individuals into account. The paper is organized as follows: In section 2 the underlying theoretical model of intertemporal labour supply under uncertainty is shortly presented. Section 3 deals with the econometric specification and estimation techniques where the use of unbalanced panel data is considered. Section 4 contains the data description with a particular look on the unbalancedness of the samples. In the last section 5 the empirical results are presented. We compare the estimated parameters for the unmarried women between the USA and the FRG and also analyse the differences between unmarried and married women. Moreover a comparison between different samples of unmarried women is provided.
We develop an interregional version of the standard textbook input-output model, that is extended with respect to the inclusion of the consumption expenditures and income generation process into the endogenous part of the input-output table. We also introduce a new method for deriving a two-region version of an interregional input-output table from original input-output tables for an overall economy and one of its regions. In an empirical assessment of the economic effects of the Frankfurt Airport, the interregional model is successfully employed. It is shown, that the model is capable of reducing the degree of overestimation of economic effects that results from inappropriate use of national input-output tables in the assessment of regional impact effects.
Comparison of MSACD models
(2003)
We propose a new framework for modelling time dependence in duration processes on financial markets. The well known autoregressive conditional duration (ACD) approach introduced by Engle and Russell (1998) will be extended in a way that allows the conditional expectation of the duration process to depend on an unobservable stochastic process which is modelled via a Markov chain. The Markov switching ACD model (MSACD) is a very flexible tool for description and forecasting of financial duration processes. In addition, the introduction of an unobservable, discrete valued regime variable can be justified in the light of recent market microstructure theories. In an empirical application we show that the MSACD approach is able to capture several specific characteristics of inter trade durations while alternative ACD models fail. JEL classification: C22, C25, C41, G14