Knowledge flows within and across countries should be carriers of important learning spillovers. We use data on 1.5 million patents and 4.5 million citations to analyze knowledge flows across 147 subnational regions. We estimate that only 15% of average knowledge is learned outside the average...

Measuring the output of men and women in science and technology has previously been mostly restricted to case studies or small-scale surveys. Based on an analysis of patent and publication databases, this paper applies a methodology to systematically assign the gender to the names of inventors...

Many predictions and conclusions in climate change literature have been made on the basis of theoretical analyses and quantitative models that assume exogenous technological change. One may wonder if those policy prescriptions hold in the more realistic case of endogenously evolving...

The stabilisation of GHG atmospheric concentrations at levels expected to prevent dangerous climate change has become an important, global, long-term objective. It is therefore crucial to identify a cost-effective way to achieve this objective. In this paper we use WITCH, a hybrid...

It is widely recognized that technological change has the potential to reduce GHG emissions without compromising economic growth; hence, any better understanding of the process of technological innovation is likely to increase our knowledge of mitigation possibilities and costs. This paper...

This paper theoretically and empirically analyzes the interaction of emigration of highly skilled labor, an economy's income gap to potential host economies of expatriates, and optimal public infrastructure investment. In a model with endogenous education and R&D investment decisions we show...