What Determines the Innovative Success of Subsidized Collaborative R&D Projects? – Project-Level Evidence from Germany –
Michael Schwartz, François Peglow, Michael Fritsch, Jutta Günther
IWH Discussion Papers,
Nr. 7,
2010
publiziert in: Technovation
Abstract
Systemic innovation theory emphasizes that innovations are the result of an interdependent exchange process between different organizations. This is reflected in the current paradigm in European innovation policy, which aims at the support of collaborative R&D and innovation projects bringing together science and industry. Building on a large data set using project-level evidence on 406 subsidized R&D cooperation projects, the present paper provides detailed insights on the relationship between the innovative success of R&D cooperation projects and project characteristics. Patent applications and publications are used as measures for direct outcomes of R&D projects. We also differentiate between academic-industry projects and pure inter-firm projects. Main results of negative binomial regressions are that large-firm involvement is positively related to pa-tent applications, but not to publications. Conversely, university involvement has positive effects on project outcomes in terms of publications but not in terms of patent applications. In general, projects’ funding is an important predictor of innovative success of R&D cooperation projects. No significant results are found for spatial proximity among cooperation partners and for the engagement of an applied research institute. Results are discussed with respect to the design of R&D cooperation support schemes.
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Money and Inflation: The Role of Persistent Velocity Movements
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 the present paper we use a multivariate state space framework, that substantially expands the traditional vector error correction approach, to analyze the short run impact of money on prices. We contribute to the literature in three ways: First, we distinguish changes in velocity of money that are due to institutional developments and thus do not induce inflationary pressure, and changes that reflect transitory movements in money demand. This is achieved with a newly developed multivariate unobserved components decomposition. Second, we analyze whether the high volatility of the transmission from monetary pressure to inflation follows some structure, i.e., if the parameter regime can assumed to be constant. Finally, we use our model to illustrate the consequences of the monetary policy of the Fed that has been employed to mitigate the impact of the financial crisis, simulating different exit strategy scenarios.
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Inflation Expectations: Does the Market Beat Professional Forecasts?
Makram El-Shagi
IWH Discussion Papers,
Nr. 16,
2009
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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The Changing Role of the Exchange Rate in a Globalised Economy
Irina Bunda, Filippo di Mauro, Rasmus Rüffer
ECB Occasional Paper Series,
Nr. 94,
2008
Abstract
In addition to its direct effects on the global trading and production structure, the ongoing process of globalisation may have important implications for the interaction of exchange rates and the overall economy. This paper presents evidence regarding possible changes in the role of exchange rates in a more globalised economy. First, it analyses the link between exchange rates and prices, showing that there is at most a moderate decline in exchange rate pass-through for the euro area. Next, it turns to the effect of exchange rate changes on trade flows. The findings indicate that the responsiveness of euro area exports to exchange rate changes may have declined somewhat as a result of globalisation, reflecting mainly shifts in the geographical and sectoral composition of trade flows. The paper also provides a firm-level analysis of the impact of exchange rate changes on corporate profits, which suggests that overall this relationship appears to be relatively stable over time, although there are important cross-country differences. In addition, it studies the overall impact of exchange rates on GDP and the potential role of valuation effects as a transmission channel in the case of the euro area. JEL Classification: E3, F15, F31
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Industry Specialization, Diversity and the Efficiency of Regional Innovation Systems
Michael Fritsch, Viktor Slavtchev
Determinants of Innovative Behaviour,
2008
Abstract
Innovation processes are characterized by a pronounced division of labor between actors. Two types of externality may arise from such interactions. On the one hand, a close location of actors affiliated to the same industry may stimulate innovation (MAR externalities). On the other hand, new ideas may be born by the exchange of heterogeneous and complementary knowledge between actors, which belong to different industries (Jacobs’ externalities). We test the impact of both MAR as well as Jacobs’ externalities on innovative performance at the regional level. The results suggest an inverted u-shaped relationship between regional specialization in certain industries and innovative performance. Further key determinants of the regional innovative performance are private sector R&D and university-industry collaboration.
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Evaluating the German (New Keynesian) Phillips Curve
Rolf Scheufele
IWH Discussion Papers,
Nr. 10,
2008
Abstract
This paper evaluates the New Keynesian Phillips Curve (NKPC) and its hybrid
variant within a limited information framework for Germany. The main interest rests on the average frequency of price re-optimization of firms. We use the labor income share as the driving variable and consider a source of real rigidity by allowing for a fixed firm-specific capital stock. A GMM estimation strategy is employed as well as an identification robust method that is based upon the Anderson-Rubin statistic. We find out that the German Phillips Curve is purely forward looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every two to three quarters. While these estimates seem plausible from an economic point of view, the uncertainties around these estimates are very large and also consistent with perfect nominal price rigidity where firms never re-optimize prices. This analysis also offers some explanations why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way how orthogonality conditions are formulated. Additionally, model misspecifications may be left undetected by conventional J tests. Taken together, this analysis points out
the need for identification robust methods to get reliable estimates for the NKPC.
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How Does Industry Specialization Affect the Efficiency of Regional Innovation Systems?
Michael Fritsch, Viktor Slavtchev
Jena Economic Research Papers, Nr. 2008-058,
Nr. 58,
2008
Abstract
This study analyzes the relationship between the specialization of a region in certain industries and the efficiency of the region in generating new knowledge. The efficiency measure is constructed by relating regional R&D input and output. An inversely u-shaped relationship is found between regional specialization and R&D efficiency, indicating the presence of externalities of both Marshall and Jacobs’ type. Further factors influencing efficiency are spillovers within the private sector as well as from public research institutions. The impact of both the specialization and the additional factors is, however, different for regions at different efficiency levels.
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Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
IWH Discussion Papers,
Nr. 17,
2007
Abstract
In this paper we test the ability of three of the most popular methods to forecast the South African currency crisis of June 2006. In particular we are interested in the out-ofsample performance of these methods. Thus, we choose the latest crisis to conduct an out-of-sample experiment. In sum, the signals approach was not able to forecast the outof- sample crisis of correctly; the probit approach was able to predict the crisis but just with models, that were based on raw data. Employing a Markov-regime-switching approach also allows to predict the out-of-sample crisis. The answer to the question of which method made the run in forecasting the June 2006 currency crisis is: the Markovswitching approach, since it called most of the pre-crisis periods correctly. However, the “victory” is not straightforward. In-sample, the probit models perform remarkably well and it is also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. It can, therefore, not be recommended to focus on one approach only when evaluating the risk for currency crises.
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Industry Specialization, Diversity and the Efficiency of Regional Innovation Systems
Michael Fritsch, Viktor Slavtchev
Jena Economic Research Papers, Nr. 2007-018,
Nr. 18,
2007
Abstract
Innovation processes are characterized by a pronounced division of labor between actors. Two types of externality may arise from such interactions. On the one hand, a close location of actors affiliated to the same industry may stimulate innovation (MAR externalities). On the other hand, new ideas may be born by the exchange of heterogeneous and complementary knowledge between actors, which belong to different industries (Jacobs’ externalities). We test the impact of both MAR as well as Jacobs’ externalities on innovative performance at the regional level. The results suggest an inverted u-shaped relationship between regional specialization in certain industries and innovative performance. Further key determinants of the regional innovative performance are private sector R&D and university-industry collaboration.
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What Determines the Efficiency of Regional Innovation Systems?
Michael Fritsch, Viktor Slavtchev
Jena Economic Research Papers, Nr. 2007-006,
Nr. 6,
2007
Abstract
We assess the efficiency of regional innovation systems (RIS) in Germany by means of a knowledge production function. This function relates private sector research and development (R&D) activity in a region to the number of inventions that have been registered by residents of that region. Different measures and estimation approaches lead to rather similar assessments. We find that both spillovers within the private sector as well as from universities and other public research institutions have a positive effect on the efficiency of private sector R&D in the respective region. It is not the mere presence and size of public research institutions, but rather the intensity of interactions between private and public sector R&D that leads to high RIS efficiency. We find that relationship between the diversity of a regions’ industry structure and the efficiency of its innovation system is inversely u-shaped. Regions dominated by large establishments tend to be less efficient than regions with a lower average establishment size.
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