Works Councils and Firm Profits Revisited
Steffen Müller
British Journal of Industrial Relations,
No. 1,
2011
Abstract
As they are employee associations, it is typically presumed that works councils redistribute economic rents from firm owners to workers. And indeed, the empirical literature suggests that German works councils reduce profits. The studies on the profitability effect of works councils mainly use self-reported subjective profit evaluations of managers as the dependent variable. I argue that these are poor measures of real profits. Newly available information on firms' capital stock allows me to revisit the profit effect now using an objective profit measure. When utilizing the subjective measure I find the standard results; with the objective measure, however, the works council effect on profits is positive and significant.
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Government Interventions in Banking Crises: Effects of Alternative Schemes on Bank Lending and Risk-taking
Diemo Dietrich, Achim Hauck
Scottish Journal of Political Economy,
No. 2,
2012
Abstract
We analyse the effects of policy measures to stop the fall in loan supply following a banking crisis. We apply a dynamic framework in which a debt overhang induces banks to curtail lending or to choose a fragile capital structure. Government assistance conditional on new banking activities, like on new lending or on debt and equity issues, allows banks to influence the scale of the assistance and to externalise risks, implying overinvestment or excessive risk taking or both. Assistance without reference to new activities, like granting lump sum transfers or establishing bad banks, does not generate adverse incentives but may have higher fiscal costs.
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Are Qualitative Inflation Expectations Useful to Predict Inflation?
Rolf Scheufele
Journal of Business Cycle Measurement and Analysis,
No. 1,
2011
Abstract
This paper examines the properties of qualitative inflation expectations collected from economic experts for Germany. It describes their characteristics relating to rationality and Granger causality. An out-of-sample simulation study investigates whether this indicator is suitable for inflation forecasting. Results from other standard forecasting models are considered and compared with models employing survey measures. We find that a model using survey expectations outperforms most of the competing models. Moreover, we find some evidence that the survey indicator already contains information from other model types (e. g. Phillips curve models). However, the forecast quality may be further improved by completely taking into account information from some financial indicators.
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Incubating an Illusion? Long-term Incubator Firm Performance after Graduation
Michael Schwartz
Growth and Change,
No. 4,
2011
Abstract
Local economic development policies worldwide perceive business incubation as an effective measure to promote regional growth through the support of young and innovative ventures. The common assumption is that incubation promotes firm growth, in particular after these firms graduated from their incubator organizations. This article investigates the long-term performance of 324 graduate firms from five German business incubators (incubated between 1990 and 2006) after they have (successfully) completed their incubation. The present study does not suffer from a survivor bias, meaning that performance data of non-surviving firms is also included. Using employment and sales measures as performance indicators, this study contributes to our knowledge with regard to long-term incubator firm performance after graduation. While in the first years after graduation there is significant growth of formerly incubated firms, further results do not support the presumption of continuous firm growth beyond incubation. A minority of graduate firms exhibits a strong increase in performance, but the majority of firms do not experience considerable growth.
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The Quantity Theory Revisited: A New Structural Approach
Makram El-Shagi, Sebastian Giesen
Abstract
While the long run relation between money and inflation is well established, empirical evidence on the adjustment to the long run equilibrium is very heterogeneous. In this paper we show, that the development of US consumer price inflation between 1960Q1 and 2005Q4 is strongly driven by money overhang. To this end, we use a multivariate state space framework that substantially expands the traditional vector error correction approach. This approach allows us to estimate the persistent components of velocity and GDP. A sign restriction approach is subsequently used to identify the structural shocks to the signal equations of the state space model, that explain money growth, inflation and GDP growth. We also account for the possibility that measurement error exhibited by simple-sum monetary aggregates causes the consequences of monetary shocks to be improperly identified by using a Divisia monetary aggregate. Our findings suggest that when the money is measured using a reputable index number, the quantity theory holds for the United States.
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Distance Functions for Matching in Small Samples
Eva Dettmann, Christian Schmeißer, Claudia Becker
Computational Statistics & Data Analysis,
No. 5,
2011
Abstract
The development of ‘standards’ for the application of matching algorithms in empirical evaluation studies is still an outstanding goal. The first step of the matching procedure is the choice of an appropriate distance function. In empirical evaluation situations often the sample sizes are small. Moreover, they consist of variables with different scale levels which have to be considered explicitly in the matching process. A simulation is performed which is directed towards these empirical challenges and supplements former studies in this respect. The choice of the analysed distance functions is determined by the results of former theoretical studies and recommendations in the empirical literature. Thus, two balancing scores (the propensity score and the index score) and the Mahalanobis distance are considered. Additionally, aggregated statistical distance functions not yet used for empirical evaluation are included. The matching outcomes are compared using non-parametric scale-specific tests for identical distributions of the characteristics in the treatment and the control groups. The simulation results show that, in small samples, aggregated statistical distance functions are the better choice for summarising similarities in differently scaled variables compared to the commonly used measures.
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The Term Structure of Banking Crisis Risk in the United States: A Market Data Based Compound Option Approach
Stefan Eichler, Alexander Karmann, Dominik Maltritz
Journal of Banking and Finance,
No. 4,
2011
Abstract
We use a compound option-based structural credit risk model to estimate banking crisis risk for the United States based on market data on bank stocks on a daily frequency. We contribute to the literature by providing separate information on short-term, long-term and total crisis risk instead of a single-maturity risk measure usually inferred by Merton-type models or barrier models. We estimate the model by applying the Duan (1994) maximum-likelihood approach. A strongly increasing total crisis risk estimated from early July 2007 onwards is driven mainly by short-term crisis risk. Banks that defaulted or were overtaken during the crisis have a considerably higher crisis risk (especially higher long-term risk) than banks that survived the crisis.
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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
Mit der zunehmenden Globalisierung wird der Wettbewerb heute auch für die Regionen spürbar. Damit diese den Anschluss an die internationale Weltmarktspitze nicht verlieren, müssen sie über ein leistungsfähiges regionales Innovationssystem verfügen. Gerade mit Blick auf den immer noch bestehenden wirtschaftlichen Nachholbedarf der Neuen Länder kommt der Weiterentwicklung der ostdeutschen Innovationssysteme eine besondere Rolle zu. Hier besteht möglicherweise ein sinnvoller Anknüpfungspunkt für eine nachhaltige Wirtschaftspolitik, indem man das Gedeihen der regionalen Innovationssysteme in den Neuen Ländern durch eine öffentliche Förderung begleitet. Gelingt der Aufbau erfolgreicher Innovationssysteme, ist ein großer Schritt in Richtung internationaler Wettbewerbsfähigkeit getan, was deren Transferabhängigkeit reduziert.
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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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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)
Mirko Titze, Matthias Brachert, Alexander Kubis
Regional Studies,
No. 1,
2011
Abstract
The 'cluster theory' has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most empirical applications focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of minimal flow analysis (MFA). The regionalization of these national industry templates is carried out with the allocation of branch-specific production values on regional employment. As a result, the paper shows concentrations of vertical clusters in only 27 of 439 German Nomenclature des Units Territoriales Statistiques (NUTS)-3 regions.
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