This paper studies patenting decisions by firms in relation to the negotiation and signing of the Helsinki and Oslo protocol as part of the Convention on Long-Range Transboundary Air Pollution. We use a uniquely constructed patent data set on SO2 abatement technologies filed in 15 signatory and...

Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...

This paper investigates the implications of U.S. withdrawal on environmental effectiveness, economic efficiency, and the distribution of compliance costs taking into account market power of the Former Soviet Union (FSU) on emission permit markets. While exercise of market power on behalf of FSU...

We show that U.S. withdrawal from the Kyoto Protocol is straightforward under political economy considerations. The reason is that U.S. compliance costs exceed low willingness to pay for dealing with global warming in the U.S. The withdrawal had a crucial impact on the concretion of the Protocol...

This paper describes a forecasting exercise of close-to-open returns on major global stock indices, based on price patterns from foreign markets that have become available overnight. As the close-to-open gap is a scalar response variable to a functional variable, it is natural to focus on...

Company taxes and taxes on highly skilled labour both influence the attractiveness of a particular region as a location for investment. We measure the effective tax burden on capital investment and on highly qualified labour in 33 locations across Europe and the United States. We then correlate...

In this paper, we extend the Fehr and Schmidt model of inequality aversion to a situation where the players differ with respect to their benefits and costs from contributions to a non-linear public good. A necessary condition for contributing to the public good is that the players’ benefit...

We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified linear autoregressive models. The method weighs data points in the observed sample and is useful in the presence of data generating processes featuring structural breaks, complex...