This study examines income convergence in regional GDP per capita for a sample of 269 regions within the European Union (EU) between 2003 and 2010. We use an endogenous broad capital model based on foreign direct investment (FDI) induced agglomeration economies and human capital. By applying a Markov chain approach to a new dataset that exploits micro-aggregated sub-national FDI statistics, the analysis provides insights into regional income growth dynamics within the EU. Our results indicate a weak process of overall income convergence across EU regions. This does not apply to the dynamics within Central and East European countries (CEECs), where we find indications of a poverty trap. In contrast to FDI, regional human capital seems to be associated with higher income levels. However, we identify a positive interaction of FDI and human capital in their relation with income growth dynamics.

The article demonstrates that the most important reason for the slowdown and stagnation of economic convergence in East Germany is the weakness in terms of research and development and innovation. It analyzes the interrelationship between industrial and innovative development in the East German federal states since 1990. The article shows how the East German industry sector and its R&D activities looked like in the late 1980s and which transition it had undergone in the course of privatization. The industrial development of the new federal states after 1990 is analyzed. The paper reveals structural shortcomings in East Germany's economy and considers their impact on the progress in R&D.

After German reunification, interregional subsidies accounted for approximately 4% of gross fixed capital investment in the new federal states (i.e. those which were formerly part of the German Democratic Republic). We show that, between 1992 and 2005, infrastructure and corporate investment subsidies had a negative net impact on regional economic growth and convergence. This result is robust to both the specification of spatially weighted control variables and the use of instrumental variable techniques to control for the endogeneity of subsidies. Our results suggest that regional redistribution was ineffective, potentially due to a lack of spatial concentration to create growth poles.

In the new member states of the EU which have not yet adopted the euro, previous adoption strategies have come under scrutiny. The spillovers and contagion from the global financial crisis revealed a new threat to the countries’ real convergence goal, namely considerable vulnerability to the transmission of financial instability to the real economy. This paper demonstrates the existence of extreme risks for real convergence and argues in favour of a new adoption strategy which does not announce a target date for the currency changeover and which allows for more flexible and countercyclical monetary, fiscal and wage policies.

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.

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.

This study investigates extreme tail risks in financial markets of the euro-candidate countries and their implications for monetary policies. Our empirical tests show the prevalence of extreme risks in the conditional volatility series of selected financial variables, that is, interbank rates, equity market indexes and exchange rates. We argue that excessive instability of key target and instrument variables should be mitigated by monetary policies. Central banks in these countries will be well-advised to use both standard and unorthodox (discretionary) tools of monetary policy while steering their economies out of the financial crisis and through the euro-convergence process.

We first analyze pre-unification similarities and differences between the two Germanys and the two Koreas in terms of demographic, social, political and economic status. An important issue is the degree of international openness. “Stone-age” type communism of North Korea and the seclusion of the population prevented inner-Korean contacts and contacts with rest of the world. This may create enormous adjustment costs if institutions, especially informal institutions, change. We go on by showing how transition and integration interact in a potential unification process based on the World Bank Revised Minimum Standard Model (RMSM) and on the Salter-Swan-Meade model. In doing so, we relate the macro and external impacts on an open economy to its macro-sectoral structural dynamics. The findings suggest that it is of utmost importance to relate microeconomic policies to the macroeconomic ties and side conditions for both parts of the country. Evidence from Germany suggests that the biggest general error in unification was neglecting these limits, especially limitations to policy instruments. Econometric analysis supports these findings. In the empirical part, we consider unification as an “investment” and track down the (by-and-large immediate to medium-term) costs and the (by-and-large long-term) benefits of retooling a retarded communist economy. We conclude that, from a South-Korean

perspective, the Korean unification will become relatively much more expensive than the German unification and, thus, not only economic, but to a much larger degree political considerations must include the tying of neighboring countries into the convergence process. We finally provide, 62 years after Germany’s division and 20 years after unification, an outlook on the strength of economic inertia in order to show that it may take much more than a generation to compensate the damage inflicted by the communist system.

This paper analyzes the process of real economic convergence in the New Member States (NMS) bein g formerly centrally planned economies, using nonparametric methods instead of conventional parametric measurement tools like beta and sigma models. This methodological framework allows the examining of the relative income distribution in different periods of time, the number of modes of the density distribution, the existence of “convergence clubs” in the distribution and the hypothesis of convergence at a single point in time. The modality tests (e.g. the ASH-WARPing procedure) and stochastic kernel are nonparametric techniques used in the empirical part of the study to examine the income distribution in the NMS area. Additionally, random effects panel regressions are used, but only for comparison reasons. The main findings of the paper are the bimodality of the income density distribution over time and across countries, and the presence of convergence clubs in the income distribution from 1995 to 2008. The findings suggest a lack of absolute convergence in the long term (1995-2008) and also when looking only from 2003 onwards. The paper concludes that, in comparison with the parametrical approach, the nonparametric one gives a deeper, real and richer perspective on the process of real convergence in the NMS area.