The paper subjects seven structural DSGE models, all used heavily by policymaking institutions, to discretionary fiscal stimulus shocks using seven different fiscal instruments, and compares the results to those of two prominent academic DSGE models. There is considerable agreement across models on both the absolute and relative sizes of different types of fiscal multipliers. The size of many multipliers is large, particularly for spending and targeted transfers. Fiscal policy is most effective if it has moderate persistence and if monetary policy is accommodative. Permanently higher spending or deficits imply significantly lower initial multipliers.

The key objective of this study is to determine whether or not psychic distance between home and host countries influences the decision-making autonomy of subsidiaries. Theoretical arguments for the relationship between psychic distance and subsidiary autonomy go in both directions with some predicting a negative relationship and others predicting a positive one. We test these conflicting hypotheses with a unique multi-country and multi-industry database reporting survey evidence of 809 subsidiaries located in five Central and Eastern European countries that serve headquarters in 44 different nation states. Psychic distance is a multidimensional construct and measured in terms of linguistic, religious, economic, institutional and geographic distance. The empirical results of 103 country pairs suggest that psychic distance – in terms of religious and economic distance – is positively related to autonomy.

This paper analyses the recession in 2008/2009 in Germany. This recession is very different from previous recessions in particular regarding their causes and magnitude. We show to what extent forecasters and forecasts based on leading indicators fail to detect the timing and the magnitude of the recession. This study shows that large forecast errors for both expert forecasts and forecasts based on leading indicators resulted during this recession which implies that the recession was very difficult to forecast. However, some leading indicators (survey data, risk spreads, stock prices) have indicated an economic downturn and hence, beat univariate time series models. Although the combination of individual forecasts provides an improvement compared to the benchmark model, the combined forecasts are worse than several individual models. A comparison of expert forecasts withthe best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts in the crisis compared to indicator forecasts is small.

This paper analyzes the performance of global value chains during the trade collapse. To do so, it exploits a unique transaction-level dataset on French firms containing information on cross-border monthly transactions matched with data on worldwide intrafirm linkages as defined by property rights (multinational business groups, hierarchies of firms). This newly assembled dataset allows us to distinguish firm-level transactions among two alternative organizational modes of global value chains: internalization of activities (intragroup trade/trade among related parties) or establishment of supply contracts (arm's length trade/trade among unrelated parties). After an overall assessment of the role of global value chains during the trade collapse, we document that intra-group trade in intermediates was characterized by a faster drop followed by a faster recovery than arm's length trade. Amplified fluctuations in terms of trade elasticities by value chains have been referred to as the "bullwhip effect" and have been attributed to the adjustment of inventories within supply chains. In this paper we first confirm the existence of such an effect due to trade in intermediates, and we underline the role that different organizational modes can play in driving this adjustment.

Estonia, Latvia and Lithuania have succeeded in rapidly reducing their current account deficits despite fixed exchange rates. Which factors have played a major role in this? What similarities, and what differences, do the Baltic states show compared to Greece and Portugal? What insights can be gained for the political debate on the euro area debt crisis?

This study systematically examines the impact of fundamental elements of urban economic structure on sectoral employment growth in German cities (“urban growth”). We test four elements simultaneously – sectoral specialisation, diversification of economic activities, urban size and the impact of local competition. To account for the effect of varying spatial delimitations in the analysis of urban growth, we further differentiate between cities and planning regions as geographical units. Our regression results show a U-shaped relationship between localisation economies and urban growth and positive effects of local competition on urban growth. With respect to diversification, we find positive effects on urban growth on the city level, but insignificant results on the level of the planning regions. The impact of urban size also differs between free cities and planning regions; in the former, a U-shaped relationship is found, whereas the effect is inversely U-shaped for the latter.

Existing papers on extreme dependence use symmetrical thresholds to define simultaneous stock market booms or crashes such as the joint occurrence of the upper or lower one percent return quantile in both stock markets. We show that the probability of the joint occurrence of extreme stock returns may be higher for asymmetric thresholds than for symmetric thresholds. We propose a non-parametric measure of extreme dependence which allows capturing extreme events for different thresholds and can be used to compute different types of extreme dependence. We find that extreme dependence among the stock markets of ten initial EMU member countries, the United Kingdom, and the United States is largely asymmetrical in the pre-EMU period (1989–1998) and largely symmetrical in the EMU period (1999–2010). Our findings suggest that ignoring the possibility of asymmetric extreme dependence may lead to an underestimation of the probability of co-booms and co-crashes.

Drawing on the systems perspective of innovation processes, this article proposes a conceptual approach for a comprehensive analysis of regional knowledge generation and transfer. Instead of focusing on one single indicator, the approach emphasizes the importance to take multiple channels of knowledge transfer into account. This provides valuable insights into the spatial structure of innovation processes on different levels. We disentangle the innovation process and consider four different layers: i.) publications in peer-reviewed journals, ii.) patent applications, iii.) formal R&D collaboration projects, the iv.) localized input-output relations. Further, we demonstrate the relevance of the „multi-layer approach‟ by applying it empirically to a specific regional innovation system: The Free State of Saxony – a federal state in Germany. We argue that the approach could be a valuable tool to inform policy-makers about knowledge-based regional development strategies.

In Germany, the employment response to the post-2007 crisis has been muted compared to other industrialized countries. Despite a large drop in output, employment has hardly changed. In this paper, we analyze the determinants of German firms’ labor demand during the crisis using a firm-level panel dataset. Our analysis proceeds in two steps. First, we estimate a dynamic labor demand function for the years 2000-2009 accounting for the degree of working time flexibility and the presence of works councils. Second, on the basis of these

estimates, we use the difference between predicted and actual employment as a measure of labor hoarding as the dependent variable in a cross-sectional regression for 2009. Apart from total labor hoarding, we also look at the determinants of subsidized labor hoarding through short-time work. The structural characteristics of firms using these channels of adjustment differ. Product market competition has a negative impact on total labor hoarding but a positive effect on the use of short-time work. Firm covered by collective agreements hoard less labor overall; firms without financial frictions use short-time work less intensively.

The import penetration of exports has become a topic of public debate, particularly in the context of Germany’s position as one of the world’s leading exporters. The growth in the volume of intermediate products purchased from abroad for subsequent processing into export goods in Germany seems to be undermining the importance of exports as a driver of domestic production and employment. The gains that arise from an increase in exports seem to have been offset by the losses caused by the crowding out of local production by imports. Empirical evidence on the impact of this international integration of the goods market on the German labour market is ambiguous. Short-term negative effects on employment are claimed to be offset by the long-term benefit that the jobs lost in the short run will eventually be replaced by higher-skilled jobs with better

perspectives. Against this background, the following hypothesis is tested empirically: Germany is poor in natural resources, but rich in skilled labour. In line with the Heckscher- Ohlin theory, Germany should therefore specialize in the production of export goods and services that are relatively intensive in these factors and should import those goods and services that are relatively intensive in unskilled labour. The empirical part of the paper deals with the extent of the German export penetration by imports. At first, it analyses by what ways imports are affecting the exports directly and indirectly and shows the consequences of import penetration of exports for the national output and employment. Secondly, consequences for employment are split in different skill types of labour. These issues are discussed with the standard open static inputoutput- model. The data base is a time series of official input-output tables. The employment effects for Germany divided by skill types of labour are investigated using skill matrices generated by the authors.