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This study analyses the labour market effects of fixed-term contracts (FTCs) in West Germany by microeconometric methods using individual and establishment level data. In the first part of the study the role of FTCs in firms’ labour demand is analysed. An econometric investigation of the firms’ reasons for using FTCs focussing on the identification of the link between dismissal protection for permanent contract workers and the firms’ use of FTCs is presented. Furthermore, a descriptive analysis of the role of FTCs in worker and job flows at the firm level is provided. The second part of the study evaluates the short-run effects of being employed on an FTC on working conditions and wages using a large cross-sectional dataset of employees. The final part of the study analyses whether taking up an FTC increases the (permanent contract) employment opportunities in the long-run (stepping stone effect) and whether FTCs affect job finding behaviour of unemployed job searchers. Firstly, an econometric unemployment duration analysis distinguishing between both types of contracts as destination states is performed. Secondly, the effects of entering into FTCs from unemployment on future (permanent contract) employment opportunities are evaluated attempting to account for the sequential decision problem of job searchers.
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 thesis is concerned with various aspects of estimating trend output and growth and discusses and evaluates methods to prepare medium-term GDP growth projections. Furthermore, econometric techniques suited for cross-correlated macroeconomic panel data with a focus on factor models are applied for unit root and cointegration testing as well as panel error correction estimation. Applications involve the identification of growth determinants as well as the modelling of aggregate labor supply in a multi-country framework. The first chapter evaluates a very popular method for potential output estimation and medium-term forecasting---the production function approach---in terms of predictive performance. For this purpose, a particular forecast evaluation framework is developed and an evaluation of the predictions of GDP growth for the three to five years ahead for each individual G7 country is carried out. In chapter two, a new approach for estimating trend growth of advanced economies is proposed. The suggestion combines econometric methods that have been used to test and estimate the implications of the extended Solow growth model in a cross sectional time series setting with an application of multivariate time series filter techniques. The last chapter discusses several panel unit root tests designed to accommodate cross-sectional dependence. These methods are then applied to an OECD country sample of the aggregate labor supply measure "hours worked".