The German government provides discretionary investment grants to structurally weak regions to reduce regional disparities. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of receiving investment grants to identify the causal effects of the investment grant on regional outcomes. We find positive effects for regional gross value-added and productivity growth, but no effects for employment and gross wage growth.

A growing body of evidence indicates that the U.S. economy has become less dynamic in recent years. This trend is evident in declining rates of gross job and worker flows as well as declining rates of entrepreneurship and young firm activity, and the trend is pervasive across industries, regions, and firm size classes. We describe the evidence on these changes in the U.S. economy by reviewing existing research. We then describe new empirical facts about the relationship between establishment-level productivity and employment growth, framing our results in terms of canonical models of firm dynamics and suggesting empirically testable potential explanations.

Using provincial data from China, this paper examines the pattern of capital flows in relation to the transition of economic regimes. We show that fast-growing provinces experienced less capital inflows before the large-scale market reform, contrary to the prediction of the neoclassical growth theory. As China transitioned from the central-planning economy to the market economy, the negative correlation between productivity growth and capital inflows became much less pronounced. From a regional perspective, this finding suggests domestic institutional factors play an important role in shaping the pattern of capital flows.

Nahezu alle entwickelten Volkswirtschaften haben Programme zur Förderung von Forschung und Entwicklung (FuE) eingeführt. Allerdings ist sehr wenig darüber bekannt, welche Programme eigentlich genau zur Anwendung kommen, welche finanziellen Mittel dafür aufgebracht werden und ob die Programme in der Art und Weise wirken, wie sie ursprünglich intendiert waren. Evaluationsstudien, die auf kausalen Untersuchungsdesigns basieren, können einen wertvollen Beitrag zur Beantwortung der Frage leisten, ob ein Programm tatsächlich Wirkungen entfaltet und welcher der verschiedenen Ansätze am erfolgversprechendsten ist.

Using data from the OECD Regional Well-Being Index – a set of quality-of-life indicators measured at the sub-national level, we construct a set of composite well-being indices. We analyse the extent to which the choice of five alternative aggregation methods affects the well-being ranking of regions. We find that regional inequality in these composite measures is lower than regional inequality in gross-domestic product (GDP) per capita. For most aggregation methods, the rank correlation across regions appears to be quite high. It is also shown that using alternative indicators instead of GDP per capita would only have a small effect on the set of regions eligible for aid from EU Structural Funds. The exception appears to be an aggregation based on how individual dimensions of welfare relate to average life satisfaction across regions, which would substantially change both the ranking of regions and which regions would receive EU funds.

This paper looks at the surprisingly different labor market performance of the United States, Canada, Germany, and several other OECD countries during and after the Great Recession of 2008–9. A first important finding is that the large employment swings in the construction sector linked to the boom and bust in US housing markets is an important factor behind the different labor market performances of the three countries. We also find that cross-country differences among OECD countries are consistent with a conventional Okun relationship linking gross domestic product growth to employment performance.