What Do We Learn from Schumpeterian Growth Theory?
Philippe Aghion, Ufuk Akcigit, Peter Howitt
P. Aghion, S. N. Durlauf (Hrsg.), Handbook of Economic Growth, Band 2B, Amsterdam: North Holland,
2014
Abstract
Schumpeterian growth theory has operationalized Schumpeter’s notion of creative destruction by developing models based on this concept. These models shed light on several aspects of the growth process that could not be properly addressed by alternative theories. In this survey, we focus on four important aspects, namely: (i) the role of competition and market structure; (ii) firm dynamics; (iii) the relationship between growth and development with the notion of appropriate growth institutions; and (iv) the emergence and impact of long-term technological waves. In each case, Schumpeterian growth theory delivers predictions that distinguish it from other growth models and which can be tested using micro data.
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Sovereign Credit Risk Co-movements in the Eurozone: Simple Interdependence or Contagion?
Manuel Buchholz, Lena Tonzer
UniCredit & Universities Foundation, Working Paper Series No. 47,
No. 47,
2013
published in: International Finance
Abstract
We investigate credit risk co-movements and contagion in sovereign debt markets of 17 industrialized countries for the period 2008-2012. We use dynamic conditional correlations of sovereign CDS spreads to detect contagion. This approach allows separating the channels through which contagion occurs from the determinants of simple interdependence. The results show that, first, sovereign credit risk comoves considerably, in particular among eurozone countries and during the sovereign debt crisis. Second, contagion cannot be attributed to one moment in time but varies across time and countries. Third, similarities in economic fundamentals, cross-country linkages in banking, and common market sentiment constitute the main channels of contagion.
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Cooperation Events, Ego-Network Characteristics and Firm Innovativeness – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Katja Guhr
IWH Discussion Papers,
No. 6,
2013
Abstract
We study how firm innovativeness is related to individual cooperation events and the structure and dynamics of firms’ ego-networks employing a unique panel dataset for the full population of 233 German laser source manufactures between 1990 and 2010. Firm innovativeness is measured by yearly patent applications as well as patent grants with a two year time-lag. Network measures are calculated on the basis of 570 knowledge-related publicly funded R&D alliances. Estimation results from a panel data count model with fixed effects are suggestive of direct innovation effects due to individual cooperation events, but only as long as structural ego-network characteristics are neglected. Innovativeness is robustly related to ego-network size and ego-network brokerage whereas ego-network density reveals some surprising results.
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Intellectual Property Rights Policy, Competition and Innovation
Daron Acemoglu, Ufuk Akcigit
Journal of the European Economic Association,
No. 1,
2012
Abstract
To what extent and in what form should the intellectual property rights (IPR) of innovators be protected? Should a company with a large technology lead over its rivals receive the same IPR protection as a company with a more limited advantage? In this paper, we develop a dynamic framework for the study of the interactions between IPR and competition, in particular to understand the impact of such policies on future incentives. The economy consists of many industries and firms engaged in cumulative (step-by-step) innovation. IPR policy regulates whether followers in an industry can copy the technology of the leader. We prove the existence of a steady-state equilibrium and characterize some of its properties. We then quantitatively investigate the implications of different types of IPR policy on the equilibrium growth rate and welfare. The most important result from this exercise is that full patent protection is not optimal; instead, optimal policy involves state-dependent IPR protection, providing greater protection to technology leaders that are further ahead than those that are close to their followers. This is because of a trickle-down effect: providing greater protection to firms that are further ahead of their followers than a certain threshold increases the R&D incentives also for all technology leaders that are less advanced than this threshold.
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Labor Demand During the Crisis: What Happened in Germany?
Claudia M. Buch
IZA. Discussion Paper No. 6074,
2011
Abstract
In Germany, the employment response to the post-2007 crisis has been muted compared to other industrialized countries. Despite a large drop in output, employment has hardly changed. In this paper, we analyze the determinants of German firms’ labor demand during the crisis using a firm-level panel dataset. Our analysis proceeds in two steps. First, we estimate a dynamic labor demand function for the years 2000-2009 accounting for the degree of working time flexibility and the presence of works councils. Second, on the basis of these
estimates, we use the difference between predicted and actual employment as a measure of labor hoarding as the dependent variable in a cross-sectional regression for 2009. Apart from total labor hoarding, we also look at the determinants of subsidized labor hoarding through short-time work. The structural characteristics of firms using these channels of adjustment differ. Product market competition has a negative impact on total labor hoarding but a positive effect on the use of short-time work. Firm covered by collective agreements hoard less labor overall; firms without financial frictions use short-time work less intensively.
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Entrepreneurial Opportunity and the Formation of Photovoltaic Clusters in Eastern Germany
Matthias Brachert, Christoph Hornych
R. Wüstenhagen, R. Wuebker (Hrsg.), Handbook of Research on Energy Entrepreneurship,
2011
Abstract
The aim of this paper is to explain the evolution of the spatial structures of one particular type of renewable energy in Germany – the photovoltaic (PV) industry. We first demonstrate how environmental movements have contributed to institutional change and government action, leading to changes in the legal and regulative structure in Germany. We describe how these changes opened up a window of locational opportunity (WLO), thus combining the WLO concept with the entrepreneurial opportunity concept. As market entries occurred mainly in Eastern Germany, the paper also explores the factors leading to a concentration of economic activity related to the new PV industry in this part of the country. Based on the WLO concept, we combine this framework with the industrial dynamics literature by Klepper (2007) and illustrate the spatial evolution of the PV industry.
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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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Inflation Expectations: Does the Market Beat Professional Forecasts?
Makram El-Shagi
IWH Discussion Papers,
No. 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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Panel Seasonal Unit Root Test With An Application for Unemployment Data
Christian Dreger, Hans-Eggert Reimers
IWH Discussion Papers,
No. 191,
2004
Abstract
In this paper the seasonal unit root test of Hylleberg et al. (1990) is generalized to cover a heterogenous panel. The procedure follows the work of Im, Pesaran and Shin (2002). Test statistics are proposed and critical values are obtained by simulations. Moreover, the properties of the tests are analyzed for di®erent deterministic and dynamic specications. Evidence is presented that for a small time dimension the power is slow even for increasing cross section dimension. Therefore, it seems necessary to have a higher time dimension than cross section dimension. The new test is applied for unemployment behaviour in
industrialized countries. In some cases seasonal unit roots are detected. However, the null hypotheses of panel seasonal unit roots are rejected. The null hypothesis of a unit root at the zero frequency is not rejected, thereby supporting the presence of hysteresis effects.
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