Growth, Volatility, and Credit Market Imperfections: Evidence from German Firms
Claudia M. Buch, Jörg Döpke
Journal of Economic Studies,
2008
Abstract
Purpose – The purpose of this paper is two-fold. First, it studies whether output volatility and growth are linked at the firm-level, using data for German firms. Second, it explores whether the link between volatility and growth depends on the degree of credit market imperfections.
Design/methodology/approach – The authors use a novel firm-level dataset provided by the Deutsche Bundesbank, the so-called Financial Statements Data Pool. The dataset has time series observations for German firms for the period 1997-2004, and the authors use information on the debt-to-assets or leverage ratio of firms to proxy for credit-constraints at the firm-level. As additional proxies for the importance of credit market imperfections, we use information on the size and on the legal status of firms.
Findings – The authors find that higher volatility has a negative impact on growth for small and a positive impact for larger firms. Higher leverage is associated with higher growth. At the same time, there is heterogeneity in the determinants of growth across firms from different sectors and across firms with a different legal status.
Practical implications – While most traditional macroeconomic models assume that growth and volatility are uncorrelated, a number of microeconomic models suggest that the two may be linked. However, it is unclear whether the link is positive or negative. The paper presents additional evidence regarding this question. Moreover, understanding whether credit market conditions affect the link between volatility and growth is of importance for policy makers since it suggests a channel through which the credit market can have long-run welfare implications. The results stress the importance of firm-level heterogeneity for the effects and effectiveness of economic policy measures.
Originality/value – The paper has two main novel features. First, it uses a novel firm-level dataset to analyze the determinants of firm-level growth. Second, it analyzes the growth-volatility nexus using firm-level data. To the best of the authors' knowledge, this is the first paper, which addresses the link between volatility, growth, and credit market imperfections using firm-level data.
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Incubator Age and Incubation Time: Determinants of Firm Survival after Graduation?
Michael Schwartz
IWH Discussion Papers,
Nr. 14,
2008
Abstract
On the basis of a sample of 149 graduate firms from five German technology oriented business incubators, this article contributes to incubator/incubation literature by investigating the effects of the age of the business incubators and the firms’ incubation time in securing long-term survival of the firms after leaving the incubator facilities. The empirical findings from Cox-proportional hazards regression and parametric accelerated failure time models reveal a statistically negative impact for both variables incubator age and incubation time on post-graduation firm survival. One possible explanation for these results is that, when incubator managers become increasingly involved in various regional development activities (e.g. coaching of regional network initiatives), this may reduce the effectiveness of incubator support and therefore the survival chances of firms.
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The Stability of Bank Efficiency Rankings when Risk Preferences and Objectives are Different
Michael Koetter
European Journal of Finance,
Nr. 2,
2008
Abstract
We analyze the stability of efficiency rankings of German universal banks between 1993 and 2004. First, we estimate traditional efficiency scores with stochastic cost and alternative profit frontier analysis. Then, we explicitly allow for different risk preferences and measure efficiency with a structural model based on utility maximization. Using the almost ideal demand system, we estimate input- and profit-demand functions to obtain proxies for expected return and risk. Efficiency is then measured in this risk-return space. Mean risk-return efficiency is somewhat higher than cost and considerably higher than profit efficiency (PE). More importantly, rank–order correlation between these measures are low or even negative. This suggests that best-practice institutes should not be identified on the basis of traditional efficiency measures alone. Apparently, low cost and/or PE may merely result from alternative yet efficiently chosen risk-return trade-offs.
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Who Invests in Training if Contracts are Temporary? - Empirical Evidence for Germany Using Selection Correction
Jan Sauermann
IWH Discussion Papers,
Nr. 14,
2006
Abstract
This study deals with the effect of fixed-term contracts on work-related training. Though previous studies found a negative effect of fixed-term contracts on the participation in training, from the theoretical point of view it is not clear whether workers with fixed-term contracts receive less or more training, compared to workers with permanent contracts. In addition to the existing strand of literature, we especially distinguish between employer- and employee-financed training in order to allow for diverging investment patterns of worker and firm. Using data from the German Socio-Economic Panel (GSOEP), we estimate a bivariate probit model to control for selection effects that may arise from unobservable factors, affecting both participation in training and holding fixed-term contracts. Finding negative effects for employer-sponsored, as well as for employee-sponsored training, leads us to conclude that workers with fixed-term contracts do not compensate for lower firm investments.
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Forced to Freedom? Empirical Relations between Aid and Economic Freedom
Tobias Knedlik, Franz Kronthaler
IWH Discussion Papers,
Nr. 8,
2006
Abstract
The paper explores the relationships between economic freedom on the one side and development aid and IMF credit as approximation for conditional aid on the other side. After a short review of current literature on the issue of economic development, economic freedom, aid, and IMF credit, the paper develops a simple panel regression model to evaluate the relationship between “economic freedom” as dependent variable and “aid” and “IMF credit” as independent variables. The estimation is based upon data taken from the World Bank’s World Development Indicators and the Heritage Index of Economic Freedom. In contrast to previous research, our results allow the rejection of the hypothesis that IMF credit increases economic freedom and that aid is not contributing to economic freedom. The estimation results suggest that, firstly, aid is positively correlated with economic freedom, and secondly, that IMF credit is negatively correlated with economic freedom. Taking IMF credit as proxy for conditional aid, we conclude that for the period of observation it could not be shown that countries can be forced to economic freedom by aid conditions.
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