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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Geoadditive Models for Regional Count Data: An Application to Industrial Location
Davide Castellani
ERSA conference papers,
2012
Abstract
We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data which allows us to simultaneously address some important methodological issues, such as spatial clustering, nonlinearities and overdispersion. We apply this model to study location determinants of inward greenfield investments occurred over the 2003-2007 period in 249 European regions. The inclusion of a geoadditive component (a smooth spatial trend surface) permits us to control for spatial unobserved heterogeneity which induces spatial clustering. Allowing for nonlinearities reveals, in line with theoretical predictions, that the positive effect of agglomeration economies fades as the density of economic activities reaches some limit value. However, no matter how dense the economic activity becomes, our results suggest that congestion costs would never overcome positive agglomeration externalities.
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Technological Intensity of Government Demand and Innovation
Viktor Slavtchev, Simon Wiederhold
Abstract
Governments purchase everything from airplanes to zucchini. This paper investigates whether the technological intensity of government demand affects corporate R&D activities. In a quality-ladder model of endogenous growth, we show that an increase in the share of government purchases in high-tech industries increases the rewards for innovation, and stimulates private-sector R&D at the aggregate level. We test this prediction using administrative data on federal procurement performed in US states. Both panel fixed effects and instrumental variable estimations provide results in line with the model. Our findings bring public procurement within the realm of the innovation policy debate.
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Inflation and Relative Price Variability in the Euro Area: Evidence from a Panel Threshold Model
Dieter Nautz, Juliane Scharff
Applied Economics,
Nr. 4,
2012
Abstract
The impact of inflation on Relative Price Variability (RPV) generates an important channel for real effects of inflation. This article provides first evidence on the empirical relation between inflation and RPV in the euro area. Stirred by the widespread use of inflation caps or target bands in monetary policy practice, we are particularly interested in threshold effects of inflation. In line with the predictions of monetary search models, our results indicate that expected inflation significantly increases RPV only if inflation is either very low (below 0.95% per annum (p.a.)) or very high (above 4.96% p.a.).
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Currency Crisis Prediction Using ADR Market Data: An Options-based Approach
Stefan Eichler, Dominik Maltritz
International Journal of Forecasting,
Nr. 4,
2010
Abstract
During capital control episodes, large price deviations between American Depositary Receipts (ADR) and their underlying stocks signal that a currency crisis is about to occur. We interpret this price spread as the price of a call option. Using option pricing theory we derive detailed information about both the probability of a currency crisis and the expected magnitude of devaluation. Analyzing daily ADR market data preceding the Venezuelan crisis (1996), our approach predicts crisis probabilities of almost 100% and forecasts the exchange rate after floating quite accurately. During the Argentine crisis (2002), the estimated exchange rates are similar to the actual ones.
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FDI and Domestic Investment: An Industry-level View
C. Arndt, Claudia M. Buch, Monika Schnitzer
B.E. Journal of Economic Analysis and Policy,
2010
Abstract
Previous empirical work on the link between domestic and foreign investment has provided mixed results. This may partly be due to the level of aggregation of the data. In this paper, we argue that the impact of FDI on the domestic capital stock depends on the structure of industries. Using industry-level data on the stock of German FDI, we test our predictions. We use panel cointegration methods which address the potential endogeneity of FDI. We find evidence for a positive long-run impact of FDI on the domestic capital stock.
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The ADR Shadow Exchange Rate as an Early Warning Indicator for Currency Crises
Stefan Eichler, Alexander Karmann, Dominik Maltritz
Journal of Banking and Finance,
Nr. 11,
2009
Abstract
We develop an indicator for currency crisis risk using price spreads between American Depositary Receipts (ADRs) and their underlyings. This risk measure represents the mean exchange rate ADR investors expect after a potential currency crisis or realignment. It makes crisis prediction possible on a daily basis as depreciation expectations are reflected in ADR market prices. Using daily data, we analyze the impact of several risk drivers related to standard currency crisis theories and find that ADR investors perceive higher currency crisis risk when export commodity prices fall, trading partners’ currencies depreciate, sovereign yield spreads increase, or interest rate spreads widen.
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Prediction Markets: Prognosemärkte in Praxis und Theorie - Ein Überblick
Marian Berneburg
Externe Publikationen,
2008
Abstract
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Low Skill but High Volatility?
Claudia M. Buch
CESifo Working Paper No. 2665,
2009
Abstract
Globalization may impose a double-burden on low-skilled workers. On the one hand, the relative supply of low-skilled labor increases. This suppresses wages of low-skilled workers and/or increases their unemployment rates. On the other hand, low-skilled workers typically face more limited access to financial markets than high-skilled workers. This limits their ability to smooth shocks to income intertemporally and to share risks across borders. Using cross-country, industry-level data for the years 1970 - 2004, we document how the volatility of hours worked and of wages of workers at different skill levels has changed over time. We develop a stylized theoretical model that is consistent with the empirical evidence, and we test the predictions of the model. Our results show that greater financial globalization and development increases the volatility of employment, and this effect is strongest for low-skilled workers. A higher share of low-skilled employment has a dampening impact.
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Transport Costs and the Size of Cities: The Case of Russia
Albrecht Kauffmann
Volkswirtschaftliche Diskussionsbeiträge der Wirtschafts- und Sozialwissenschaftlichen Fakultät, Universität Potsdam, Nr. 93,
Nr. 93,
2007
Abstract
Real costs of freight transportation have strong increased in Russia particularly during the period of price liberalization 1992–93. This paper investigates possible connections between rising transport costs and the evolution of the size structure of the system of cities in the Russian Federation and its federal subjects. Empirical findings suggest that under conditions of a closed system agglomeration processes according to the predictions of the model of Tabuchi et al. (2005) would have taken place especially in the periphere regions of the North and Far East.
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