The empirical performance of the Cobb-Douglas production function Evidence from Unified Germany
Christian Dreger
One-off Publications,
No. 2,
2002
Abstract
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Analyse der Patentaktivitäten in den öffentlichen Wissenschaftseinrichtungen des Freistaates Sachsen im Auftrag des Sächsischen Staatsministeriums für Wissenschaft und Kunst (SMWK)
Iciar Dominguez Lacasa, Katja Wilde
One-off Publications,
2010
Abstract
This study analyses patenting activities by public research organizations (PROs) in the Free State of Saxony in the period 2002-2007 in order to shed some light on the strategies of PROs for industrial exploitation of scientific research results as well as on PROs-industry interaction. The analysis is based on published patent applications at the German Patent and Trademark Office (DPMA) in the period 2002-2007. The study shows that in the period of analysis (2002-2007) the number of patent applications by PROs in Saxony has risen almost continuously. Institutes of the Fraunhofer-Gesellschaft and the Technical University of Dresden have played a major role in this development. The results for PROs in Saxony are compared with patenting by PROs located in the states of Thuringia, Lower Saxony and North Rhine-Westphalia. Overall, the comparative analysis shows positive results for the industrial exploitation of scientific research results by PROs in Saxony. In what concerns the networking of PROs with private companies through co-patenting, there are no significant differences between the PROs of the four states considered. The results suggest that PROs in Saxony could further improve their performance in PROs-industry interaction. These results should however be interpreted with caution since the underlying patent statistics (co-patenting) do not capture all forms of PROs-industry interaction for the industrial exploitation of research results.
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Inflation Expectations: Does the Market Beat Professional Forecasts?
Makram El-Shagi
North American Journal of Economics and Finance,
No. 3,
2011
Abstract
The present paper compares expected inflation to (econometric) inflation forecasts based on a number of forecasting techniques from the literature using a panel of ten industrialized countries during the period of 1988 to 2007. To capture expected inflation, we develop a recursive filtering algorithm which extracts unexpected inflation from real interest rate data, even in the presence of diverse risks and a potential Mundell-Tobin-effect.
The extracted unexpected inflation is compared to the forecasting errors of ten
econometric forecasts. Beside the standard AR(p) and ARMA(1,1) models, which
are known to perform best on average, we also employ several Phillips curve based approaches, VAR, dynamic factor models and two simple model avering approaches.
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Flow of Conjunctural Information and Forecast of Euro Area Economic Activity
Katja Drechsel, L. Maurin
Journal of Forecasting,
No. 3,
2011
Abstract
Combining forecasts, we analyse the role of information flow in computing short-term forecasts up to one quarter ahead for the euro area GDP and its main components. A dataset of 114 monthly indicators is set up and simple bridge equations are estimated. 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 found 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. Compared to an AR forecast, these improve by more than 40% the forecast performance for GDP in the current and next quarter.
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Staying, Dropping, or Switching: The Impacts of Bank Mergers on Small Firms
Hans Degryse, Nancy Masschelein, Janet Mitchell
Review of Financial Studies,
No. 4,
2011
Abstract
Assessing the impacts of bank mergers on small firms requires separating borrowers with single versus multiple banking relationships and distinguishing the three alternatives of “staying,” “dropping,” and “switching” of relationships. Single-relationship borrowers who “switch” to another bank following a merger will be less harmed than those whose relationship is “dropped” and not replaced. Using Belgian data, we find that single-relationship borrowers of target banks are more likely than other borrowers to be dropped. We track postmerger performance and show that many dropped target-bank borrowers are harmed by the merger. Multiple-relationship borrowers are less harmed, as they can better hedge against relationship discontinuations.
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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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Creating Networks by Public Research Subsidies in Saxony?
Michael Schwartz, Nicole Nulsch, Jutta Günther
Wirtschaft im Wandel,
No. 2,
2011
Abstract
It is generally acknowledged that research organizations require public support to perform research and development activities. In this context, projects grants play a continuously increasing role that, particularly, aim at strengthening network relationships among the actors within an innovation system. Given that, the Halle Institute for Economic Research has investigated whether public research subsidies (i.e. research grants) in the Free State of Saxony promote networks and provide the basis for future cooperation activities. Results of this study suggest that research grants in Saxony, given the self-assessment of the supported scientists, are conducive to the establishment of network relationships (including also industry actors) and can further contribute to make a better use of cooperation agreements in the future.
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Economic Structure and Regional Performance in Germany, 2002-2007
Alexander Kubis, Matthias Brachert, Mirko Titze
European Planning Studies,
No. 2,
2012
Abstract
This paper explores the impact of industrial clusters on regional growth at the German labour market region level using a regional convergence model. Based on the results of an exploratory study of the geography of German industrial clusters, we are able to differentiate the impact of industrial clustering from a horizontal and a vertical perspective while taking regional convergence into consideration. The results indicate that in addition to an all-German process of convergence, a specific East German one can be identified. The different types of industrial clusters show mixed effects within this framework. While vertically isolated industrial clusters have a negative impact on regional growth in this period, positive growth effects can be identified when industrial clusters show an intra-regional vertical interconnectedness.
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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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Governmental Learning as a Determinant of Economic Growth
Marina Grusevaja
IWH Discussion Papers,
No. 23,
2010
Abstract
Systemic economic transition is a process of determined radical institutional change, a process of building new institutions required by a market economy. Nowadays, the experience of transition countries with the implementation of new institutions could be reviewed as a method of economic development that despite similar singular steps has different effects on the domestic economic performance. The process of institutional change towards a market economy is determined by political will, thus the government plays an important role in carrying out the economic reforms. Among the variety of outcomes and effects the attention is drawn especially to economic growth that diverges significantly in different post-transition countries. The paper attempts to shed light upon the problem on the basis of institutional economics, of economics of innovation and partially of political economy of growth using an evolutionary, process-oriented perspective. In this context the issue central to the promotion of economic growth is the successful implementation of new institutions through governmental activities. The paper shows that under the conditions of bounded rationality and radical uncertainty economic growth is determined, inter alia, by the capacity for governmental learning.
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