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This dissertation is based on three empirical studies on the thematic complex of the comparative advantages of self-employment and business start-ups out of unemployment. The first study examines the characteristics of persons who present a broad range of experience in terms of professional competencies. The extent to which self-reported entrepreneurial competence and the assessment of professionally self-employed activities correlate with the number of professional competencies acquired is examined in particular. It emerged from previous studies that the tendency to establish new businesses increases with the variety of experience. More recent studies show, however, that different causes may lie behind this correlation. The results of this study show that both entrepreneurial competence and the estimation of self-employment increase with the number of professional competencies. However, the analyses would indicate that entrepreneurial competence (self-assessment) is more strongly correlated and that an actual increase in qualifications lies behind the self-assessed entrepreneurial competence. Moreover, it emerges that self-assessed entrepreneurial competence increases at decreasing marginal rates with the number of professional competencies. The second study examines the extent to which professional background and, in particular, the professional and employment experience of an individual influence the duration he or she remains in self-employment. This is studied on the basis of data from a survey of founders who become self-employed out of unemployment. The study is based on the idea that individual characteristics can be used productively in different forms of employment and that specific competence and comparative characteristics affect the time-dependent exit from self-employment. The results initially confirm previous findings, in particular that firm characteristics do not play a very significant role in the decision to start up a business from a position of unemployment. Broad-based qualifications plus business skills, a high level of intrinsic motivation for self-employment and exploitable professional experience display a strong positive correlation with the duration in self-employment; this would suggest corresponding comparative advantages for self-employment. However, business skills alone reduce the time-dependent probability of survival in self-employment and accelerate exits into employment. The third study analyzes features of local labor markets in terms of their influence on the duration of self-employment. The basis of the study is provided by process-produced data generated by the German Federal Employment Agency on the employment biographies of individuals who received support in establishing businesses with a view to exiting unemployment. Individual characteristics were examined in addition to regional determinants. The idea behind the study is that local labor market conditions can have different comparative effects on income possibilities in both positions of employment and self-employment. The exit from self-employment is described as a change in work activity which arises following the evaluation of different income options. The results show that local labor market conditions have a considerable influence on the duration of self-employment and that the effect of local labor market conditions is very complex. The results would prompt the expectation that a one-dimensional perspective based on the local unemployment rate does not provide an adequate measure of general economic conditions. Increasing regional unemployment reduces the duration of self-employment while increasing uncertainty on the local labor market results in its extension. Moreover, all local characteristics display reducing to reversing marginal effects. Tests of individual characteristics show that persons from small businesses, master craftsmen and foremen, and persons with high income premiums remain longer in their last employment situation than the controls. These characteristics are clearly associated with comparative advantages for self-employment. The study also corroborates the impression that people with business backgrounds quickly leave self-employment for employed positions.
Against the background of the dependence of cultural institutions on public funding and the increasing pressure on public budgets, this thesis aims to make a contribution to the economic analysis of the German cultural sector. For this purpose, three empirical studies focusing on the German cultural sector are conducted, using different methods to quantify the analyzed effects. Chapter 2 describes an application of the contingent valuation method (CVM) for assessing public approval of the amount of subsidies spent on cultural facilities. For our analysis, we conducted a contingent valuation study to capture the willingness to pay (WTP) for the municipal cultural supply in Lüneburg, Germany. To identify the factors associated with the respondents’ WTP, we supplemented an ordinary least squares (OLS) and a Tobit regression model with a quantile regression (QR) model. The findings suggest the existence of non-use values. Since the QR analyzes the coefficients at different points of the distribution of the dependent variable, it accounts for the heterogeneity of preferences. Overall, the results indicate that the QR can provide useful information in deriving implications for cultural policy. In contrast to the consumption-oriented approach of chapter 2, chapters 3 and 4 focus on the production of performing arts in public theaters. Data were taken from the theater reports published by the German Stage Association (Deutscher Bühnenverein) from 1993 to 2007. Chapter 3 uses a stochastic frontier analysis approach to analyze the efficiency of German public theaters. Whether the assumption of cost-minimizing behavior is reliable in the case of public theaters is of particular interest. Thus, in addition to the input distance function model, we employ a cost function model in order to evaluate whether the cost-minimizing behavior can be maintained. We also applied several panel data models that differ in their ability to account for unobserved heterogeneity to evaluate the impact of unobserved heterogeneity on the efficiency estimates. The results indicate that the cost-minimizing assumption cannot be maintained. We also find a considerable unobserved heterogeneity across the theaters that causes a significant variation in the models’ efficiency estimates. Taken together, our results suggest that there is still space for improvement in the employment of resources in the area of performing arts production in Germany. The third study, presented in Chapter 4, discusses the development and sources of productivity in German public theaters. As labor costs increase, productivity decreases over time; this phenomenon is referred to as ”Baumol’s cost-disease”. However, productivity is not influenced only by technological change; technical efficiency and scale efficiency also play a role. Thus, which of the three factors are positive or negative drivers for productivity change in the case of German public theaters is of particular interest. Using a stochastic distance frontier approach to decompose the total factor productivity into the three different sources of productivity the findings indicate that there is no significant technological progress that can countervail the negative productivity trend caused by increasing wages and, thus, support the cost-disease hypothesis. Furthermore, increasing returns to scale for the majority of theatres were found. Chapter 5 summarizes the main results of the three empirical analyses. This is followed by concluding remarks on the need for further research.