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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Agglomeration and FDI in East German Knowledge-intensive Business Services
Philipp Marek
Economia Politica,
Nr. 3,
2012
Abstract
The focus of this article is the empirical identification of factors influencing Foreign Direct Investment (FDI) in the knowledge-intensive business service (KIBS) sector on the regional level of «Raumordnungsregionen» in East Germany. The analysis focuses on the impact of regional agglomeration and technological capability on the location decision of foreign investors and West German MNEs. It shows that localisation, patent activity and the share of employees with an R&D occupation affect significantly the location decision of FDI. This result provides an explanation for the strong concentration of KIBS in urban areas in a post-transition economy.
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A Federal Long-run Projection Model for Germany
Oliver Holtemöller, Maike Irrek, Birgit Schultz
IWH Discussion Papers,
Nr. 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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Stock Market Firm-Level Information and Real Economic Activity
Filippo di Mauro, Fabio Fornari, Dario Mannucci
ECB Working Paper,
Nr. 1366,
2011
Abstract
We provide evidence that changes in the equity price and volatility of individual firms (measures that approximate the definition of 'granular shock' given in Gabaix, 2010) are key to improve the predictability of aggregate business cycle fluctuations in a number of countries. Specifically, adding the return and the volatility of firm-level equity prices to aggregate financial information leads to a significant improvement in forecasting business cycle developments in four economic areas, at various horizons. Importantly, not only domestic firms but also foreign firms improve business cycle predictability for a given economic area. This is not immediately visible when one takes an unconditional standpoint (i.e. an average across the sample). However, conditioning on the business cycle position of the domestic economy, the relative importance of the two sets of firms - foreign and domestic - exhibits noticeable swings across time. Analogously, the sectoral classification of the firms that in a given month retain the highest predictive power for future IP changes also varies significantly over time as a function of the business cycle position of the domestic economy. Limited to the United States, predictive ability is found to be related to selected balance sheet items, suggesting that structural features differentiate the firms that can anticipate aggregate fluctuations from those that do not help to this aim. Beyond the purely forecasting application, this finding may enhance our understanding of the underlying origins of aggregate fluctuations. We also propose to use the cross sectional stock market information to macro-prudential aims through an economic Value at Risk.
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MNE’s Regional Location Choice - A Comparative Perspective on East Germany, the Czech Republic and Poland
Andrea Gauselmann, Philipp Marek, J. P. Angenendt
IWH Discussion Papers,
Nr. 8,
2011
publiziert in: Empirica
Abstract
The focus of this article is the empirical identification of factors influencing Foreign Direct Investment (FDI) in transition economies on a regional level (NUTS 2). The analysis is designed as benchmark between three neighboring post-communist regions, i.e. East Germany, the Czech Republic and Poland. Their different transition paths have not only resulted in economic differences. We can also observe today that the importance of pull factors for FDI varies significantly across the regions. This analysis shows that in comparison with Poland and the Czech Republic, East Germany’s major benefit is its purchasing power, its geographical proximity to West European markets, and its modern infrastructure. Furthermore, the analysis suggests that intra-industry linkages such as specialization and agglomeration economies are relevant factors for the location decision of foreign investors. This result can help to explain the regional divergence of FDI streams in transition economies.
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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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Where Are Global and U.S. Trade Heading in the Aftermath of the Trade Collapse: Issues and Alternative Scenarios
Filippo di Mauro, Joseph Gruber, Bernd Schnatz, Nico Zorell
FRB International Finance Discussion Paper,
Nr. 1017,
2011
Abstract
Global and U.S. trade declined dramatically in the wake of the global financial crisis in late 2008 and early 2009. The subsequent recovery in trade, while vigorous at first, gradually lost momentum in 2010. Against this backdrop, this paper explores the prospects for global and U.S. trade in the medium term. We develop a unified empirical framework ? an error correction model ? that exploits the cointegrating relationship between trade and economic activity. The model allows us to juxtapose several scenarios with different assumptions about the strength of GDP growth going forward and the relationship between trade and economic activity. Our analysis suggests that during the crisis both world trade and U.S. exports declined significantly more than would have been expected on the basis of historical relationships with economic activity. Moreover, this gap between actual and equilibrium trade is closing only slowly and could persist for some time to come.
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Flow of Conjunctural Information and Forecast of Euro Area Economic Activity
Katja Drechsel, L. Maurin
Journal of Forecasting,
Nr. 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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What Drives FDI in Central-eastern Europe? Evidence from the IWH-FDI-Micro Database
Andrea Gauselmann, Mark Knell, Johannes Stephan
Post-Communist Economies,
Nr. 3,
2011
Abstract
The focus of this paper is on the match between strategic motives of foreign investments into Central-Eastern Europe and locational advantages offered by these countries. Our analysis makes use of the IWH-FDI-Micro Database, a unique dataset that contains information from 2009 about the determinants of locational factors, technological activity of the subsidiaries, and the potentials for knowledge spillovers in the Czech Republic, Hungary, Poland, Romania, and Slovakia. The analysis suggests that investors in these countries are mainly interested in low (unit) labour costs coupled with a well-trained and educated workforce and an expanding market with the high growth rates in the purchasing power of potential buyers. It also suggests that the financial crisis reduced the attractiveness of the region as a source for localised knowledge and technology. There appears to be a match between investors’ expectations and the quantitative supply of unqualified labour, not however for the supply of medium qualified workers. But the analysis suggests that it is not technology-seeking investments that are particularly content with the capabilities of their host economies in terms of technological cooperation. Finally, technological cooperation within the local host economy is assessed more favourably with domestic firms than with local scientific institutions – an important message for domestic economic policy.
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