Natural-resource or Market-seeking FDI in Russia? An Empirical Study of Locational Factors Affecting the Regional Distribution of FDI Entries
K. Gonchar, Philipp Marek
IWH Discussion Papers,
Nr. 3,
2013
Abstract
This paper conducts an empirical study of the factors that affect the spatial distribution of foreign direct investment (FDI) across regions in Russia; in particular, this paper is concerned with those regions that are endowed with natural resources and market-related benefits. Our analysis employs data on Russian firms with a foreign investor during the 2000-2009 period and linked regional statistics in the conditional logit model. The main findings are threefold. First, we conclude that one theory alone is not able to explain the geographical pattern of foreign investments in Russia. A combination of determinants is at work; market-related factors and the availability of natural resources are important factors in attracting FDI. The relative importance of natural resources seems to grow over time, despite shocks associated with events such as the Yukos trial. Second, existing agglomeration economies encourage foreign investors by means of forces generated simultaneously by sector-specific and inter-sectoral externalities. Third, the findings imply that service-oriented FDI co-locates with extraction industries in resource-endowed regions. The results are robust when Moscow is excluded and for subsamples including only Greenfield investments or both Greenfield investments and mergers and acquisitions (M&A).
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Gauging the Effects of Fiscal Stimulus Packages in the Euro Area
Mathias Trabandt, Roland Straub, Günter Coenen
Journal of Economic Dynamics and Control,
Nr. 2,
2013
Abstract
We seek to quantify the impact on euro area GDP of the European Economic Recovery Plan (EERP) enacted in response to the financial crisis of 2008–2009. To do so, we estimate an extended version of the ECB's New Area-Wide Model with a richly specified fiscal sector. The estimation results point to the existence of important complementarities between private and government consumption and, to a lesser extent, between private and public capital. We first examine the implied present-value multipliers for seven distinct fiscal instruments and show that the estimated complementarities result in fiscal multipliers larger than one for government consumption and investment. We highlight the importance of monetary accommodation for these findings. We then show that the EERP, if implemented as initially enacted, had a sizeable, although short-lived impact on euro area GDP. Since the EERP comprised both revenue and expenditure-based fiscal stimulus measures, the total multiplier is below unity.
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Vertical Grants and Local Public Efficiency
Ivo Bischoff, Peter Bönisch, Peter Haug, Annette Illy
Abstract
This paper analyses the impact of vertical grants on local public sector efficiency. First, we develop a theoretical model in which the bureaucrat sets the tax price while voters choose the quantity of public services. In this model, grants reduce efficiency if voters do not misinterpret the amount of vertical grants the local bureaucrats receive. If voters suffer from fiscal illusion, i.e. overestimate the amount of grants, our model yields an ambiguous effect of grants on efficiency. Second, we use the model to launch a note of caution concerning the inference that can be drawn from the existing cross-sectional studies in this field: Taking into account vertical financial equalization systems that reduce differences in fiscal capacity, empirical studies based on cross-sectional data may yield a positive relationship between grants and efficiency even when the underlying causal effect is negative. Third, we perform an empirical analysis for the German state of Saxony-Anhalt, which has implemented such a fiscal equalization system. We find a positive relationship between grants and efficiency. Our analysis shows that a careful reassessment of existing empirical evidence with regard to this issue seems necessary.
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Testing for Structural Breaks at Unknown Time: A Steeplechase
Makram El-Shagi, Sebastian Giesen
Computational Economics,
Nr. 1,
2013
Abstract
This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown et al. (J R Stat Soc B 37:149–163, 1975) and Zeileis (Stat Pap 45(1):123–131, 2004), Nyblom (J Am Stat Assoc 84(405):223–230, 1989) and Hansen (J Policy Model 14(4):517–533, 1992), and Andrews et al. (J Econ 70(1):9–38, 1996). Power and size properties are derived using Monte Carlo simulations. We find that the Nyblom test is on par with the commonly used F type tests in a small sample in terms of power. While the Nyblom test’s power decreases if the structural break occurs close to the margin of the sample, it proves far more robust to nonnormal distributions of the error term that are found to matter strongly in small samples although being irrelevant asymptotically for all tests that are analyzed in this paper.
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Human Capital Mobility and Regional Convergence
Lutz Schneider, Alexander Kubis
Regional Studies,
2012
Abstract
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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,
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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Regional Determinants of MNE’s Location Choice in Post-transition Economies
Andrea Gauselmann, Philipp Marek
Empirica,
Nr. 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,
Nr. 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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