Effects of Entrepreneurship Education at Universities
S. Laspita, H. Patzelt, Viktor Slavtchev
Jena Economic Research Papers, Nr. 2012-025,
No. 25,
2012
Abstract
This study analyzes the impact of entrepreneurship education at universities on the intentions of students to become entrepreneurs or self-employed in the short-term (immediately after graduation) and in the long-term (five years after graduation). A difference-in-differences approach is applied that relates changes in entrepreneurial intentions to changes in the attendance of entrepreneurship classes in the same period. To account for a potential bias due to self-selection into entrepreneurship classes, only individuals having no prior entrepreneurial intentions are analyzed. Our results indicate a stimulating effect of entrepreneurship education on students’ intentions to become entrepreneurs or self-employed in the long-term but a discouraging effect on their intentions in the short-term. These results support the conjecture that entrepreneurship education provides more realistic perspectives on what it takes to be an entrepreneur, resulting in ‘sorting’. Overall, the results indicate that entrepreneurship education may improve the quality of labor market matches, the allocation of resources and talent, and increase social welfare. Not distinguishing between short- and long-term intentions may lead to misleading conclusions regarding the economic and social impact of entrepreneurship education.
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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Abstract
The signals approach as an early warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it does not distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful and statistically significant results and (2) that composite
indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.
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A Systemic View on Knowledge-based Development Metrics
Mirko Titze, Michael Schwartz, Matthias Brachert
International Journal of Knowledge-Based Development,
No. 1,
2012
Abstract
Drawing on the systems perspective of innovation processes, this article proposes a conceptual approach for a comprehensive analysis of regional knowledge generation and transfer. Instead of focusing on one single indicator, the approach emphasizes the importance to take multiple channels of knowledge transfer into account. This provides valuable insights into the spatial structure of innovation processes on different levels. We disentangle the innovation process and consider four different layers: i.) publications in peer-reviewed journals, ii.) patent applications, iii.) formal R&D collaboration projects, the iv.) localized input-output relations. Further, we demonstrate the relevance of the „multi-layer approach‟ by applying it empirically to a specific regional innovation system: The Free State of Saxony – a federal state in Germany. We argue that the approach could be a valuable tool to inform policy-makers about knowledge-based regional development strategies.
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Measuring Regionalized Knowledge Generation and Transfer – A Feasibility Study Using a Multi-layer Approach in the Free State of Saxony
Mirko Titze, Matthias Brachert, Jutta Günther, Michael Schwartz
IWH-Sonderhefte,
No. 5,
2010
Abstract
Economic literature regards knowledge creation and learning as critical elements for gaining competitive advantage of regions. However, recognizing the importance of innovation and knowledge creation to economic success is far from being novel. Original is the view of increasing importance of knowledge creation for speeding up the depreciation of existing knowledge stocks. This puts a high pressure on regional actors to constantly participate in innovation processes to maintain their competitive advantages. Against this background, regional actors – if they aim to be successful in the globalized economy – first require access to a comprehensive and diversified knowledge base. Second, they need to participate in the processes of knowledge generation and knowledge transfer. Thereby, systemic innovation theory has pronounced the view that the locus of innovation and knowledge creation resides not only within the boundaries of the regional actors, such as private firms, universities, research laboratories, suppliers, and customers, but is the result of an interdependent exchange process between these different types. Collaborative interactions, bringing together different types of actors, may therefore lie well at the heart of accelerated knowledge creation and learning at the regional level (Lundvall and Johnson 1994).
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Exploring the Economic Convergence in the EU New Member States by Using Nonparametric Models
Monica Raileanu Szeles
IWH Discussion Papers,
No. 2,
2011
Abstract
This paper analyzes the process of real economic convergence in the New Member States (NMS) bein g formerly centrally planned economies, using nonparametric methods instead of conventional parametric measurement tools like beta and sigma models. This methodological framework allows the examining of the relative income distribution in different periods of time, the number of modes of the density distribution, the existence of “convergence clubs” in the distribution and the hypothesis of convergence at a single point in time. The modality tests (e.g. the ASH-WARPing procedure) and stochastic kernel are nonparametric techniques used in the empirical part of the study to examine the income distribution in the NMS area. Additionally, random effects panel regressions are used, but only for comparison reasons. The main findings of the paper are the bimodality of the income density distribution over time and across countries, and the presence of convergence clubs in the income distribution from 1995 to 2008. The findings suggest a lack of absolute convergence in the long term (1995-2008) and also when looking only from 2003 onwards. The paper concludes that, in comparison with the parametrical approach, the nonparametric one gives a deeper, real and richer perspective on the process of real convergence in the NMS area.
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Macroeconomic Challenges in the Euro Area and the Acceding Countries
Katja Drechsel
Dissertation, Online-Publikation,
2010
Abstract
The conduct of effective economic policy faces a multiplicity of macroeconomic challenges, which requires a wide scope of theoretical and empirical analyses. With a focus on the European Union, this doctoral dissertation consists of two parts which make empirical and methodological contributions to the literature on forecasting real economic activity and on the analysis of business cycles in a boom-bust framework in the light of the EMU enlargement. In the first part, we tackle the problem of publication lags and analyse the role of the information flow in computing short-term forecasts up to one quarter ahead for the euro area GDP and its main components. A huge dataset of monthly indicators is used to estimate simple bridge equations. The individual forecasts are then pooled, using different weighting schemes. To take into consideration the release calendar of each indicator, six forecasts are compiled successively during the quarter. We find that the sequencing of information determines the weight allocated to each block of indicators, especially when the first month of hard data becomes available. This conclusion extends the findings of the recent literature. Moreover, when combining forecasts, two weighting schemes are found to outperform the equal weighting scheme in almost all cases. In the second part, we focus on the potential accession of the new EU Member States in Central and Eastern Europe to the euro area. In contrast to the discussion of Optimum Currency Areas, we follow a non-standard approach for the discussion on abandonment of national currencies the boom-bust theory. We analyse whether evidence for boom-bust cycles is given and draw conclusions whether these countries should join the EMU in the near future. Using a broad range of data sets and empirical methods we document credit market imperfections, comprising asymmetric financing opportunities across sectors, excess foreign currency liabilities and contract enforceability problems both at macro and micro level. Furthermore, we depart from the standard analysis of comovements of business cycles among countries and rather consider long-run and short-run comovements across sectors. While the results differ across countries, we find evidence for credit market imperfections in Central and Eastern Europe and different sectoral reactions to shocks. This gives favour for the assessment of the potential euro accession using this supplementary, non-standard approach.
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Differences in Labor Supply to Monopsonistic Firms and the Gender Pay Gap: An Empirical Analysis Using Linked Employer‐Employee Data from Germany
Boris Hirsch, Thorsten Schank, Claus Schnabel
Journal of Labor Economics,
No. 2,
2010
Abstract
This article investigates women’s and men’s labor supply to the firm within a semistructural approach based on a dynamic model of new monopsony. Using methods of survival analysis and a large linked employer‐employee data set for Germany, we find that labor supply elasticities are small (1.9–3.7) and that women’s labor supply to the firm is less elastic than men’s (which is the reverse of gender differences in labor supply usually found at the level of the market). Our results imply that at least one‐third of the gender pay gap might be wage discrimination by profit‐maximizing monopsonistic employers.
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Are there Gender-specific Preferences for Location Factors? A Grouped Conditional Logit-model of Interregional Migration Flows in Germany
Lutz Schneider, Alexander Kubis
Schmollers Jahrbuch,
2010
Abstract
The article analyses the question of whether women and men differ in their tastes for location factors. The question is answered by quantifying the impact of location characteristics on interregional migration flows across Germany. The analysis is based on a grouped conditional logit approach. We augment the framework by controlling for violation of the independence of irrelevant alternatives assumption and for overdispersion. As a result we find no differences in terms of direction of impact; however, the regressions confirm gender differences, mostly in terms of intensity, regarding regional wage levels and the availability of educational institutions. Moreover, even after controlling for place attributes women seem to be more migratory than men.
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Knowledge Spill-overs for Knowledge-based Development: Progression in Theory and Obstacles for Empirical Research
Peter Franz
International Journal of Knowledge-Based Development,
2010
Abstract
As scientists and policymakers tend to interpret changes in the economy as a trend towards an increasingly knowledge-based economy, their recommendations and strategies for regional economic development frequently contain elements how to intensify the knowledge flows in the region concerned. Knowledge flows come into existence from intentional action, but also in an unintended way as externalities or knowledge spillovers. This paper reviews the ways regional and urban economics has dealt with the concept of knowledge spillovers. Knowledge spillovers are defined within a conceptual framework that points out different uses of knowledge in economics. The concept’s operationalisations in diverse empirical studies are systematised and discussed. After a critical review of the current state of research, policy strategies aiming to intensify knowledge spillovers are classified. The paper concludes with an outlook on promising new approaches to research knowledge spillovers and on the elaboration of more efficient policy strategies.
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