This study proposes a nonlinear cointegrating regression model based on the well-known energy balance climate model. Specifically, I investigate the nonlinear cointegrating regression of the mean of temperature anomaly distributions on total radiative forcing using estimated spatial...

This study explores the reduction potential of greenhouse gases for major pollution emitting countries of the world using nonparametric productivity measurement methods and directional distance functions. In contrast to the existing literature we apply optimization methods to endogenously...

Convergence in cross country per capita carbon emission rates is an important concept the climate change debate. This paper provides an empirical analysis of emissions per capita convergence. This analysis is crucial to the assessment of projection models that generate convergence in emission...

The focus of this paper is on the modeling and estimation of quarterly state-level gasoline demand in the United States. The existing literature may not appropriately evaluate the price elasticity and income elasticity of gasoline demand. Most studies fail to address the possible heterogeneity...

Climate change has been classed as the greatest and urgent global issue facing humanity today, yet the empirics of the debate remain largely muted, more so with reference to sub-Saharan Africa (SSA), where the impact of warming global temperatures are forecasted to have the worst impact. This...

This discussion paper resulted in a publication in <I>Land Economics</I> (2014). Volume 90(4), pages 717-745.<P> This paper contrasts the discovered preference hypothesis against the theory of coherent arbitrariness in a split-sample stated choice experiment on flood risk exposure in the Netherlands. A...</p></i>

Convergence in cross country per capita carbon emission rates is an important concept the climate change debate. This paper provides an empirical analysis of emissions per capita convergence. This analysis is crucial to the assessment of projection models that generate convergence in emission...

Inference regarding trends in climatic data series, including comparisons across different data sets as well as univariate trend significance tests, is complicated by the presence of serial correlation and step-changes in the mean. We review recent developments in the estimation of...

It is popular belief that the weather is "bad" more frequently on weekends than on other days of the week and this is often perceived to be associated with an increased chance of rain. In fact, the meteorological literature does report some evidence for such human-induced weekly cycles although...

Ricardian (hedonic) analyses of the impact of climate change on farmland values typically assume additively separable effects of temperature and precipitation. Model estimation is implemented on data aggregated across counties or large regions. We investigate the potential bias induced by such...