Qual VAR Revisited: Good Forecast, Bad Story
Makram El-Shagi, Gregor von Schweinitz
Abstract
Due to the recent financial crisis, the interest in econometric models that allow to incorporate binary variables (such as the occurrence of a crisis) experienced a huge surge. This paper evaluates the performance of the Qual VAR, i.e. a VAR model including a latent variable that governs the behavior of an observable binary variable. While we find that the Qual VAR performs reasonably well in forecasting (outperforming a probit benchmark), there are substantial identification problems. Therefore, when the economic interpretation of the dynamic behavior of the latent variable and the chain of causality matter, the Qual VAR is inadvisable.
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A Federal Long-run Projection Model for Germany
Oliver Holtemöller, Maike Irrek, Birgit Schultz
IWH Discussion Papers,
No. 11,
2012
Abstract
Many economic decisions implicitly or explicitly rely on a projection of the medium- or long-term economic development of a country or region. In this paper, we provide a federal long-run projection model for Germany and the German states. The model fea-tures a top-down approach and, as major contribution, uses error correction models to estimate the regional economic development dependent on the national projection. For the medium- and long-term projection of economic activity, we apply a production function approach. We provide a detailed robustness analysis by systematically varying assumptions of the model. Additionally, we explore the effects of different demographic trends on economic development.
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04.12.2012 • 38/2012
INNO-KOM-Ost: Wirksame Unterstützung der Industrieforschung in Ostdeutschland – auch ein Modell für den Westen!
Das technologieoffene Programm des BMWi zur „FuE-Förderung gemeinnütziger externer Industrieforschungseinrichtungen in Ostdeutschland – Innovationskompetenz Ost (INNO-KOM-Ost)“ trat am 1. Januar 2009 in Kraft. Die drei Förderlinien „Vorhaben der Vorlaufforschung“, „marktorientierte Forschungs- und Entwicklungsvorhaben“ und „Investitionszuschuss technische Infrastruktur“ zielen auf die Unterstützung der innovativen Leistungsfähigkeit der gemeinnützigen externen Industrieforschungseinrichtungen (IFE) in Ostdeutschland. Diese transferieren ihre Forschungsergebnisse in die ostdeutsche Wirtschaft, um insbesondere die Innovationsfähigkeit von kleinen und mittleren Unternehmen (KMU) zu verbessern. Im Zeitraum von 2009 bis 2011 wurden 610 FuE-Projekte mit einer Gesamtsumme von rund 173 Mio. Euro gefördert. Das Institut für Wirtschaftsforschung Halle (IWH) und das Zentrum für Europäische Wirtschaftsforschung (ZEW) haben die Wirksamkeit, Effizienz und Transparenz der Förderung untersucht – mit folgenden Ergebnissen: Das Programm erreicht seine Zielgruppe umfänglich, die Mitnahmeeffekte sind marginal. Die geförderten Projekte weisen deutliche Verwertungserfolge auf. Die Effizienz der eingesetzten Mittel ist erheblich. Mit einem Euro an Fördermitteln wird ein Mehrfaches an Umsatzerlösen und Kosteneinsparungen erzielt, sowohl in den IFE selbst als auch in den kooperierenden Unternehmen. In den Unternehmen sind die Umsatzerlöse und Kosteneinsparungen sogar noch höher als in den IFE selbst. Das IWH empfiehlt, die Förderung mindestens bis zum Jahr 2019 weiterzuführen, da die strukturellen Nachteile der ostdeutschen Wirtschaft fortbestehen werden.
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Regional Determinants of MNE’s Location Choice in Post-transition Economies
Andrea Gauselmann, Philipp Marek
Empirica,
No. 4,
2012
Abstract
This article focuses on the impact of agglomeration and labour market factors on the location choice of MNEs in post-transition economies. We compare data from 33 regions in East Germany, the Czech Republic and Poland using a mixed logit model on a sample of 4,343 subsidiaries for the time period between 2000 and 2010. The results show that agglomeration advantages, such as sectoral specialization as well as a region’s economic and technological performance prove to be some of the most important pull factors for FDI in post-transition regions.
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Human Capital Mobility and Convergence – A Spatial Dynamic Panel Model of the German Regions
Alexander Kubis, Lutz Schneider
Abstract
Since the fall of the iron curtain in 1989, the migration deficit of the Eastern part of Germany has accumulated to 1.8 million people, which is over ten percent of its initial population. Depending on their human capital endowment, these migrants might either – in the case of low-skilled migration – accelerate or – in high-skilled case – impede convergence. Due to the availability of detailed data on regional human capital, migration and productivity growth, we are able to test how geographic mobility affects convergence via the human capital selectivity of migration. With regard to the endogeneity of the migration flows and human capital, we apply a dynamic panel data model within the framework of β-convergence and account for spatial dependence. The regressions indicate a positive, robust, but modest effect of a migration surplus on regional productivity growth. After controlling for human capital, the effect of migration decreases; this decrease indicates that skill selectivity is one way that migration impacts growth.
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Heterogeneous FDI in Transition Economies – A Novel Approach to Assess the Developmental Impact of Backward Linkages
Axèle Giroud, Björn Jindra, Philipp Marek
World Development,
No. 11,
2012
Abstract
Traditional models of technology transfer via FDI rely upon technology gap and absorptive capacity arguments to explain host economies’ potential to benefit from technological spillovers. This paper emphasizes foreign affiliates’ technological heterogeneity. We apply a novel approach differentiating extent and intensity of backward linkages between foreign affiliates and local suppliers. We use survey data on 809 foreign affiliates in five transition economies. Our evidence shows that foreign affiliates’ technological capability, embeddedness and autonomy are positively related to knowledge transfer via backward linkages. In contrast to what is widely assumed, we find a non-linear relationship between extent of local sourcing and knowledge transfer to domestic suppliers.
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Evidence on the Effects of Inflation on Price Dispersion under Indexation
Juliane Scharff, S. Schreiber
Empirical Economics,
No. 1,
2012
Abstract
Distortionary effects of inflation on relative prices are the main argument for inflation stabilization in macro models with sticky prices. Under indexation of non-optimized prices, those models imply a nonlinear and dynamic impact of inflation on the cross-sectional price dispersion (relative price or inflation variability, RPV). Using US sectoral price data, we estimate such a relationship between inflation and RPV, also taking into account the endogeneity of inflation by using two- and three-stage least-squares and GMM techniques, which turns out to be relevant. We find an effect of (expected) inflation on RPV, and our results indicate that average (“trend”) inflation is important for the RPV-inflation relationship. Lagged inflation matters for indexation in the CPI data, but is not important empirically in the PPI data.
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Human Capital Mobility and Convergence. A Spatial Dynamic Panel Model of the German Regions
Alexander Kubis, Lutz Schneider
Abstract
Since the fall of the iron curtain in 1989, the migration deficit of the Eastern part of Germany has accumulated to 1.8 million people, which is over 10 percent of its ini-tial population. Depending on their human capital endowment, these migrants might either – in the case of low-skilled migration – accelerate or – in high-skilled case– impede convergence. Due to the availability of detailed data on regional human capital, migration and productivity growth, we are able to test how geographic mobil-ity affects convergence via the human capital selectivity of migration. With regard to the endogeneity of the migration flows and human capital, we apply a dynamic panel data model within the framework of β-convergence and account for spatial depend-ence. The regressions indicate a positive, robust, but modest effect of a migration surplus on regional productivity growth. After controlling for human capital, the effect of migration decreases; this decrease indicates that skill selectivity is one way that migration impacts growth.
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Mittelfristige Projektion der wirtschaftlichen Entwicklung
Oliver Holtemöller, Katja Drechsel, Brigitte Loose
Wirtschaft im Wandel,
No. 8,
2012
Abstract
Die konjunkturelle Schwächephase im Winterhalbjahr 2012/2013 wirkt sich auch auf das mittelfristige Wirtschaftswachstum in Deutschland aus. Unter Berücksichtigung der Herbstprognose 2012 von IWH und Kiel Economics ist nunmehr mit einer durchschnittlichen Wachstumsrate des Bruttoinlandsproduktes von 1¼% pro Jahr zwischen 2011 und 2017 zu rechnen. Dabei wird unterstellt, dass die Auslastung der deutschen Wirtschaft nach der vorübergehenden konjunkturellen Schwächephase überdurchschnittlich sein wird, weil die einheitliche europäische Geldpolitik in Deutschland noch längere Zeit expansiv wirken dürfte.
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The Determinants of Inward Foreign Direct Investment in Business Services Across European Regions
Davide Castellani
Finanza e Statistica 104/2012,
2012
Abstract
The paper accounts for the determinants of inward foreign direct investment in business services across the EU-27 regions. Together with the traditional variables considered in the literature (market size, market quality, agglomeration economies, labour cost, technology, human capital), we focus on the role of forward linkages with manufacturing sectors and other service sectors as
attractors of business services FDI at the regional level. This hypothesis is based on the evidence that the growth of business services is mostly due to increasing intermediate demand by other services industries and by manufacturing industries and on the importance of geographical proximity for forward linkages in services.
To our knowledge, there are no studies investigating the role of forward linkages for the location of FDI. This paper aims therefore to fill this gap and add to the FDI literature by providing a picture of the specificities of the determinants of FDI in business services at the regional level. The empirical analysis draws upon the database fDi Markets, from which we selected projects having as a destination NUTS 2 European regions in the sectors of Business services over the period 2003-2008. Data on FDI have been matched with data drawn from the Eurostat Regio
database. Forward linkages have been constructed using the OECD Input/Output database. By estimating a negative binomial model, we find that regions specialised in those (manufacturing) sectors that are high potential users of business services attract more FDI than other regions. This confirms the role of forward linkages for the localisation of business service FDI, particularly in the case of manufacturing.
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