We use the Chinese experience between 1867 and 1910 to illustrate how the volatility of vehicle currencies affects trade. Today’s widespread vehicle currency is the dollar. However, the macroeconomic effects of this use of the dollar have rarely been addressed. This is partly due to identification problems caused by its international importance. China had adopted a system, where silver was used almost exclusively for trade, similar to a vehicle currency. While being important for China, the global role of silver was marginal, alleviating said identification problems. We develop a bias corrected structural VAR showing that silver price fluctuations significantly affected trade.

Alles in allem dürfte das Bruttoinlandsprodukt in Deutschland im Jahr 2014 um 1,5% steigen. Im Jahr 2015 wird es wohl um 1,3% zunehmen – etwa 0,2 Prozentpunkte davon sind auf den Ölpreisrückgang zurückzuführen. Nach einer Unterauslastung der Kapazitäten im Jahr 2014 dürfte sich die Produktionslücke Ende des Jahres 2015 schließen. Im Jahr 2016 dürfte die Produktion um 1,6% steigen. Für das Jahr 2014 reicht das 66%-Prognoseintervall für den Zuwachs des Bruttoinlandsprodukts von 1,4% bis 1,6%, für das Jahr 2015 von 0,4% bis 2,1% und für das Jahr 2016 von 0,2% bis 3,4%.

In diesem Artikel wird die Konjunkturprognose des IWH vom 12. Dezember 2013 zusammenfassend dargestellt. Die Weltwirtschaft dürfte im Jahr 2014 in moderatem Tempo expandieren. Die wirtschaftliche Erholung im Euroraum bleibt schleppend. In Deutschland setzt sich dagegen der im Frühjahr 2013 begonnene Aufschwung fort. Er wird von der binnenwirtschaftlichen Nachfrage getragen. Das Bruttoinlandsprodukt dürfte im Jahr 2014 um 1,8% (66%-Prognoseintervall: 1,0% bis 2,7%) zulegen, nach 0,4% im Jahr 2013. Die Arbeitslosenquote sinkt leicht auf 6,5%, die Verbraucherpreise steigen wie schon 2013 um 1,5%. Der Finanzierungssaldo des Staates nimmt konjunkturbedingt noch etwas zu, auf 0,3% im Jahr 2014.

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.

The introduction of the Euro has been accompanied by the hope that international competition between EMU member states would increase due to higher price transparency. This paper contributes to the literature by analyzing price elasticities in international trade flows between Germany and France and between Germany and the United Kingdom before and after the introduction of the Euro. Using disaggregated Eurostat trade statistics, we adopt a heterogeneous dynamic panel framework for the estimation of price elasticities. We suggest a Kalman-filter approach to control for unobservable quality changes which otherwise would bias estimates of price elasticities. We divide the complete sample, which ranges from 1995 to 2008, into two sub-samples and show that price elasticities in trade between EMU members did not change substantially after the introduction of the Euro. Hence, we do not find evidence for an increase in international price competition resulting from EMU.

The signals approach as an early-warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it cannot distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful results; (2) that composite indicators aggregating information contained in individual indicators add value to the signals approach; and (3) that indicators which are found to be significant in-sample usually perform similarly well out-of-sample.

In diesem Artikel wird die Konjunkturprognose des IWH vom 13. Dezember 2012 zusammenfassend dargestellt.

Das IWH ist im Dezember für das Jahr 2012 von einer Zunahme des Bruttoinlandsproduktes in Deutschland von 0,8% ausgegangen. Aktuellere Daten des Statistischen Bundesamtes weisen eine Zunahme um 0,7% aus. Das vierte Quartal 2012 dürfte somit geringfügig schwächer ausgefallen sein als in der Prognose vom Dezember unterstellt. Die Prognose für die Jahre 2013 und 2014 bleibt davon jedoch unberührt. Nach konjunktureller Flaute zum Jahresende 2012 dürfte die Weltwirtschaft im Jahr 2013 wieder frischen Wind in den Segeln verspüren. Ein kräftiger Aufschwung bleibt jedoch aus. Die Konsolidierungsnotwendigkeiten in vielen fortgeschrittenen Volkswirtschaften wirken weiter belastend. Auch die deutsche Wirtschaft wird im Schlussquartal des Jahres 2012 schrumpfen, dann aber wieder Fahrt aufnehmen. Das Bruttoinlandsprodukt legt im Jahr 2013 um 0,7% zu und im Jahr 2014 um 1,5%. Dabei wird die Arbeitslosenquote geringfügig auf 6,7% steigen. Die Verbraucherpreisinflation wird in den Jahren 2013 und 2014 in etwa bei 2% liegen. Der staatliche Finanzierungssaldo wird im Jahr 2013 wieder negativ.

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.

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.

The signals approach as an early warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it does not distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful and statistically significant results and (2) that composite

indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.