Financial Literacy and Self-employment
Aida Ćumurović, Walter Hyll
Abstract
In this paper, we study the relationship between financial literacy and self-employment. We use established financial knowledge-based questions to measure financial literacy levels. The analysis shows a highly significant correlation between selfemployment and financial literacy scores. To investigate the impact of financial literacy on being self-employed, we apply instrumental variable techniques based on information on economic education before entering the labour market and education of parents. Our results reveal that financial literacy positively affects the probability of being self-employed. As financial literacy is acquirable, findings suggest that entrepreneurial activities may be raised via enhancing financial knowledge.
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17.03.2016 • 11/2016
IWH-Konjunkturbarometer Ostdeutschland: Inlandsnachfrage schiebt ostdeutsche Produktion an
Im vierten Quartal 2015 hat das Bruttoinlandsprodukt in den ostdeutschen Flächenländern – saisonbereinigt nach dem Berliner Verfahren – um 0,4% gegenüber dem schwachen dritten Vierteljahr zugenommen. Getrieben wurde die Aufwärtsbewegung vom Produzierenden Gewerbe. Der Dienstleistungssektor stagnierte. Obwohl sich der Produktionsanstieg beschleunigte und die Entwicklung in den Alten Bundesländern übertraf (0,2%), stieg das Bruttoinlandsprodukt im Durchschnitt des Jahres 2015 – wie bereits im vergangenen Dezember vom IWH geschätzt – nur um 1,3%. Damit expandierte die Produktion in den Neuen Bundesländern erneut langsamer als in den Alten (1,7%).
Udo Ludwig
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16.03.2016 • 10/2016
Konjunktur aktuell: Stabile Konjunktur in Deutschland trotz krisenhaften Umfelds
Die deutsche Konjunktur ist trotz internationaler Risiken und politischer Verwerfungen kraftvoll in das Jahr 2016 gestartet. Beschäftigung und Einkommen nehmen zu, und die Binnennachfrage steigt deutlich, auch weil der Staat zusätzliche Ausgaben im Zusammenhang mit der Flüchtlingsmigration tätigt. Allerdings dürfte es nach Einschätzung des IWH im Frühjahr zu einer vorübergehenden Verlangsamung der Dynamik kommen, darauf deuten Stimmungsindikatoren hin. Mit Fortschritten bei der Bewältigung der aktuellen politischen Probleme in Europa dürfte die Zuversicht wieder zunehmen und die deutsche Konjunktur insgesamt stabil bleiben, sodass das Bruttoinlandsprodukt im Jahr 2016 wohl mit einer Rate von 1,5% expandieren wird.
Oliver Holtemöller
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Legal Insider Trading and Stock Market Liquidity
Hans Degryse, Frank de Jong, Jérémie Lefebvre
De Economist,
Nr. 1,
2016
Abstract
This paper assesses the impact of legal trades by corporate insiders on the liquidity of the firm’s stock. For this purpose, we analyze two liquidity measures and one information asymmetry measure. The analysis allows us to study as well the effect of a change in insider trading regulation, namely the implementation of the Market Abuse Directive (European Union Directive 2003/6/EC) on the Dutch stock market. The first set of results shows that, in accordance with theories of asymmetric information, the intensity of legal insider trading in a given company is positively related to the bid-ask spread and to the information asymmetry measure. We also find that the Market Abuse Directive did not reduce significantly this effect. Secondly, analyzing liquidity and information asymmetry around the days of legal insider trading, we find that small and large capitalization stocks see their bid-ask spread and the permanent price impact increase when insiders trade. For mid-cap stocks, only the permanent price impact increases. Finally, we could not detect a significant improvement of these results following the change in regulation.
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Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information
Christiane Baumeister, James D. Hamilton
Econometrica,
Nr. 5,
2015
Abstract
This paper makes the following original contributions to the literature. (i) We develop a simpler analytical characterization and numerical algorithm for Bayesian inference in structural vector autoregressions (VARs) that can be used for models that are overidentified, just‐identified, or underidentified. (ii) We analyze the asymptotic properties of Bayesian inference and show that in the underidentified case, the asymptotic posterior distribution of contemporaneous coefficients in an n‐variable VAR is confined to the set of values that orthogonalize the population variance–covariance matrix of ordinary least squares residuals, with the height of the posterior proportional to the height of the prior at any point within that set. For example, in a bivariate VAR for supply and demand identified solely by sign restrictions, if the population correlation between the VAR residuals is positive, then even if one has available an infinite sample of data, any inference about the demand elasticity is coming exclusively from the prior distribution. (iii) We provide analytical characterizations of the informative prior distributions for impulse‐response functions that are implicit in the traditional sign‐restriction approach to VARs, and we note, as a special case of result (ii), that the influence of these priors does not vanish asymptotically. (iv) We illustrate how Bayesian inference with informative priors can be both a strict generalization and an unambiguous improvement over frequentist inference in just‐identified models. (v) We propose that researchers need to explicitly acknowledge and defend the role of prior beliefs in influencing structural conclusions and we illustrate how this could be done using a simple model of the U.S. labor market.
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Bank Market Power, Factor Reallocation, and Aggregate Growth
R. Inklaar, Michael Koetter, Felix Noth
Journal of Financial Stability,
2015
Abstract
Using a unique firm-level sample of approximately 700,000 firm-year observations of German small and medium-sized enterprises (SMEs), this study seeks to identify the effect of bank market power on aggregate growth components. We test for a pre-crisis sample whether bank market power spurs or hinders the reallocation of resources across informationally opaque firms. Identification relies on the dependence on external finance in each industry and the regional demarcation of regional banking markets in Germany. The results show that bank markups spur aggregate SME growth, primarily through technical change and the reallocation of resources. Banks seem to need sufficient markups to generate the necessary private information to allocate financial funds efficiently.
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On the Trail of Core–periphery Patterns in Innovation Networks: Measurements and New Empirical Findings from the German Laser Industry
Wilfried Ehrenfeld, Toralf Pusch, Muhamed Kudic
Annals of Regional Science,
Nr. 1,
2015
Abstract
It has been frequently argued that a firm’s location in the core of an industry’s innovation network improves its ability to access information and absorb technological knowledge. The literature has still widely neglected the role of peripheral network positions for innovation processes. In addition to this, little is known about the determinants affecting a peripheral actors’ ability to reach the core. To shed some light on these issues, we have employed a unique longitudinal dataset encompassing the entire population of German laser source manufacturers (LSMs) and laser-related public research organizations (PROs) over a period of more than two decades. The aim of our paper is threefold. First, we analyze the emergence of core–periphery (CP) patterns in the German laser industry. Then, we explore the paths on which LSMs and PROs move from isolated positions toward the core. Finally, we employ non-parametric event history techniques to analyze the extent to which organizational and geographical determinates affect the propensity and timing of network core entries. Our results indicate the emergence and solidification of CP patterns at the overall network level. We also found that the paths on which organizations traverse through the network are characterized by high levels of heterogeneity and volatility. The transition from peripheral to core positions is impacted by organizational characteristics, while an organization’s geographical location does not play a significant role.
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Taking the First Step - What Determines German Laser Source Manufacturers' Entry into Innovation Networks?
Jutta Günther, Muhamed Kudic, Andreas Pyka
International Journal of Innovation Management,
Nr. 5,
2015
Abstract
Early access to technological knowledge embodied in the industry’s innovation network can provide an important competitive advantage to firms. While the literature provides much evidence on the positive effects of innovation networks on firms’ performance, not much is known about the determinants of firms’ initial entry into such networks. We analyze firms’ timing and propensity to enter the industry’s innovation network. More precisely, we seek to shed some light on the factors affecting the duration between firm founding and its first cooperation event. In doing so, we apply a unique longitudinal event history dataset based on the full population of German laser source manufacturers. Innovation network data stem from official databases providing detailed information on the organizations involved, subject of joint research and development (R&D) efforts as well as start and end times for all publically funded R&D projects between 1990 and 2010. Estimation results from a non-parametric event history model indicate that micro firms enter the network later than small-sized or large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of geographical determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
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