In recent decades, the international division of labor has expanded rapidly in the wake of European integration. In this context, especially Western European high-wage countries should have specialized on (human-)capital intensively manufactured goods and should have increasingly sourced labor-intensively manufactured goods, especially parts and components, from Eastern European low wage countries. Since this should be beneficial for the high-skilled and harmful to the lower-qualified workforce in high-wage countries, the opening up of Eastern Europe is often considered as a vital reason for increasing unemployment of the lower-qualified in Western Europe. This paper addresses this issue by analyzing the skill content of Western European countries’ bilateral trade using input-output techniques in order to evaluate possible effects of international trade on labor demand. Thereby, differences in factor inputs and production technologies have been considered, allowing for vertical product differentiation. In this case, skill content of bilateral exports and imports partially differs substantially, especially in bilateral trade between Western and Eastern European countries. According to the results, East-West trade should be harmful particularly to the medium-skilled in Western European countries.

This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay. In a simulated out-of-sample experiment we evaluate the different modelling strategies conditional on the given state of information and depending on the model averaging technique. The proposed approach is computationally simple and can be easily implemented as a nowcasting tool. Finally, this method also allows retracing the driving forces of the forecast and hence enables the interpretability of the forecast outcome.

Grundlage der Untersuchung ist die Annahme, dass das Entwicklungspotential einer Industrie bzw. einer Region von ihrer Innovationstätigkeit abhängt. Im Speziellen werden Antworten auf folgende Fragestellungen gesucht: Lässt sich das Cluster-Konzept auf die maritime Industrie der maritimen Region Québecs übertragen? Kann dieser Sektor eine solch große Bedeutung und Wirtschaftskraft erlangen, dass er zu einem wirtschaftlichen Standbein dieser Region werden kann? Der Untersuchung liegen die Umfrageergebnisse einer regionalen Studie zugrunde, die insbesondere die Unternehmenseigenschaften, wie beispielsweise, Größe, Umsatz oder Anzahl der im Unternehmen tätigen Ingenieure, erfasste. Die Ergebnisse zeigen, dass der Großteil der Unternehmen in der untersuchten Stichprobe kleine und mittelständische Unternehmen sind, die nur wenig Innovationsaktivitäten haben. Insgesamt deuten die Ergebnisse darauf hin, dass der untersuchte maritime Sektor nicht die geeigneten Eigenschaften aufweist um dort das Konzept eines Clusters als Regionalentwicklungsstrategie anwenden zu können.

Since the 1990s tourism has been one major area in Saxony where new local public infrastructure has been created. The question is whether this newly-built tourism infrastructure has been able to change the path of economic development in those municipalities where the investment has occurred. Is it possible to activate the tourism industry with the help of public investment at locations that are completely new to the tourism industry? The econometric estimations and a survey of businesses in the field of tourism make it clear that the new tourist infrastructure really did have a positive effect on local employment – but not everywhere and not in every case. Tourist infrastructure will only have a major positive impact on economic development if a municipality already has a “track record” of being a tourist destination and is well-equipped with the relevant complementary factors for tourist activities and the “primary features” of tourist destinations – History matters!

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.

Wirtschaftspolitische Maßnahmen, darunter auch die regionale Wirtschaftspolitik, bedürfen der regelmäßigen Evaluation der daraus resultierenden Effekte. Das Sächsische Staatsministerium für Wirtschaft und Arbeit (SMWA) hat im März 2009 das Institut für Wirtschaftsforschung Halle (IWH) mit der Durchführung einer Evaluation der Fördermaßnahme Förderung der wirtschaftsnahen Infrastruktur im Rahmen der Gemeinschaftsaufgabe „Verbesserung der regionalen Wirtschaftsstruktur“ (GA-Infra) beauftragt. Die Förderung der wirtschaftsnahen Infrastruktur ist neben der Förderung von Unternehmensinvestitionen die zweite Hauptsäule des regionalpolitischen Instruments der Gemeinschaftsaufgabe „Verbesserung der regionalen Wirtschaftsstruktur“ und gehört seit 1990 mit zu den zentralen Instrumenten des „Aufbau Ost“. Vom IWH wird nachfolgend der Endbericht vorgelegt. Im Endbericht wird die Förderung der GA-Infra in den Kontext der Ziele und Instrumente regionaler Wirtschaftspolitik gestellt (Abschnitt 2). Anschließend wird ein knapper Überblick über die Grundstruktur des Evaluationskonzepts und über die Datengrundlagen gegeben (Abschnitt 3). Gemäß der Grundstruktur schließen sich die Befunde zu den Wirkungen auf die private Wirtschaft an, die die Infrastrukturartenübergreifenden Wirkungsaspekte (Abschnitt 4) und anschließend die infrastrukturartenspezifischen Wirkungsaspekte (Abschnitt 5) betreffen. Im Abschnitt 6 werden die Untersuchungsergebnisse zu den Lenkungseffekten, zur Verfahrenseffizienz sowie zur Abstimmung mit den Zielen anderer Förderprogramme präsentiert. Eine Zusammenfassung der Einzelbefunde und daraus abgeleitete förderpolitische Schlussfolgerungen enthält der Abschnitt 7.

This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay.

One of the key obstacles to the empirical analysis of capital controls has been the unavailability of a detailed set of indicators for controls that cover a broad set of countries over a range of years. In this paper, we propose a new set of indicators derived from the Annual Reports on Exchange Arrangements and Export Restrictions. Contrary to most earlier attempts to construct control indicators from this source, our set of indices allows one to analyze the control intensity separately for inflow, outflow and repatriation controls. An additional set of indicators features information on the institutional design of controls. At first glance, the data show that the financial crisis caused a surge in capital market restrictions, most notably concerning the derivatives market. This reflex, which is not justified by the scarce empirical evidence on the success of controls, shows the importance of having a valid measure to allow an econometrically sound policy evaluation in this field. The data are available from the author upon request.

In this paper we develop an open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model -- the Halle Economic Projection Model (HEPM) -- is closely related to studies published by Carabenciov et al. Our main contribution is that we model the Euro area countries separately. In doing so, we consider Germany, France, and Italy which represent together about 70 percent of Euro area GDP. The model combines core equations of the New-Keynesian standard DSGE model with empirically useful ad-hoc equations. We estimate this model using Bayesian techniques and evaluate the forecasting properties. Additionally, we provide an impulse response analysis and a historical shock decomposition.

The paper analyzes the forecasting performance of leading indicators for industrial production in Germany. We focus on single and pooled leading indicator models both before and during the financial crisis. Pairwise and joint significant tests are used to evaluate single indicator models as well as forecast combination methods. In addition, we investigate the stability of forecasting models during the most recent financial crisis.