Testing for Structural Breaks at Unknown Time: A Steeplechase
Makram El-Shagi, Sebastian Giesen
Computational Economics,
No. 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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FDI Micro Database – Methodological Note – Survey 2012 in East Germany
Jutta Günther, Andrea Gauselmann, Björn Jindra, Philipp Marek, Jan Engelhardt
Einzelveröffentlichungen,
2012
Abstract
With the integration of post-communist countries into the European and global economy
after 1990, there was strong research interest into the role of multinational enterprises
(MNEs) for economic restructuring and technological catching-up. Most of the existing
empirical studies on locational determinants of FDI and host country effects did not take
account of East Germany. This might be for different reasons: Firstly, theoretical and
empirical difficulties derive from the fact that East Germany followed a distinct transition
pattern as it became a region subsumed in a larger and more mature economy. Secondly,
East Germany received private investment from foreign as well as West German firms. Only
the first can be considered as a foreign direct investment (FDI). Finally, there had long been
a lack of micro data to adequately analyse the activities of corresponding firms from a
production as well as technological perspective.
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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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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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Fiscal Spending Multiplier Calculations Based on Input-Output Tables? An Application to EU Member States
Toralf Pusch
Intervention. European Journal of Economics and Economic Policies,
No. 1,
2012
Abstract
Fiscal spending multiplier calculations have attracted considerable attention in the aftermath of the global financial crisis. Much of the current literature is based on VAR estimation methods and DSGE models. In line with the Keynesian literature we argue that many of these models probably underestimate the fiscal spending multiplier in recessions. The income-expenditure model of the fiscal spending multiplier can be seen as a good approximation under these circumstances. In its conventional form this model suffers from an underestimation of the multiplier due to an overestimation of the import intake of domestic absorption. In this article we apply input-output calculus to solve this problem. Multipliers thus derived are comparably high, ranging between 1.4 and 1.8 for many member states of the European Union. GDP drops due to budget consolidation might therefore be substantial in times of crisis.
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Fiscal Policy and the Great Recession in the Euro Area
Mathias Trabandt, Günter Coenen, Roland Straub
American Economic Review: Papers and Proceedings,
No. 3,
2012
Abstract
How much did fiscal policy contribute to euro area real GDP growth during the Great Recession? We estimate that discretionary fiscal measures have increased annualized quarterly real GDP growth during the crisis by up to 1.6 percentage points. We obtain our result by using an extended version of the European Central Bank's New Area-Wide Model with a rich specification of the fiscal sector. A detailed modeling of the fiscal sector and the incorporation of as many as eight fiscal time series appear pivotal for our result.
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Protect and Survive? Did Capital Controls Help Shield Emerging Markets from the Crisis?
Makram El-Shagi
Economics Bulletin,
No. 1,
2012
Abstract
Using a new dataset on capital market regulation, we analyze whether capital controls helped protect emerging markets from the real economic consequences of the 2009 financial and economic crisis. The impact of the crisis is measured by the 2009 forecast error of a panel state space model, which analyzes the business cycle dynamics of 63 middle-income countries. We find that neither capital controls in general nor controls that were specifically targeted to derivatives (that played a crucial role during the crisis) helped shield economies. However, banking regulation that limits the exposure of banks to global risks has been highly successful.
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