We describe the determinants of energy intensity, carbon intensity, and CO2 emissions in the German manufacturing sector between 1995 and 2007, applying the LMDI index decomposition technique not to aggregate but to micro data. We trace back changes in total CO2 emissions from manufacturing to...

This paper compares the aggregate effects of sectoral reallocation in the United States and Western Germany using a stochastic volatility model of sectoral employment growth. Reallocative shocks have no effect on the natural rate of unemployment in either country, and there is mild evidence that...

In this paper, I estimate a series of long run reallocative shocks to sectoral employment using a stochastic volatility model of sectoral employment growth for the United States from 1960 through 2011. Reallocative shocks (which primarily measure construction and technology busts) have little...

A contingent claims valuation model which allows to highlight the implications of program trading in spot markets for the pricing of European-style foreign currency options and for the volatility strike structure implicit in these contracts is devoloped. The curvature of the volatility strike...

The prospects for labour supply in Europe are considered. The analysis begins with a so-called labour market balance covering the development on an aggregate level. Estimations to shed light on the relation between unemployment and labour force participation are given in the second part of the...

Should inputs such as bank finance affect innovation in BRICS vs. developed countries similarly? Arguably these elasticities may depend on a country’s economic progress (Gerschenkron, 1962; Liu and White, 2001). Applying a combination of DEA and Tobit to a sample of 22 countries, we show how...

The standard indicators used to compare cross-country innovation are in the Global Competitiveness Report (GCR). But there are problems with aggregation and response bias with these largely self-reported measures (Hollanders and van Cruysen, 2008). We propose a theory-based metric using Data...

High-frequency financial data are characterized by a set of ubiquitous statistical properties that prevail with surprising uniformity. While these 'stylized facts' have been well-known for decades, attempts at their behavioral explanation have remained scarce. However, recently a new branch of...

We apply standardized numerical techniques of stochastic optimization (Judd [1998]) to the climate change issue. The model captures the feature that the effects of uncertainty are different with different levels of agent's risk aversion. A major finding is that the effects of stochasticity...