Climate change is predicted to substantially alter forest growth. Optimally, forest owners should take these future changes into account when making rotation decisions today. However, the fundamental uncertainty surrounding climate change makes predicting these shifts hard. Hence, this paper...

International agreements to reduce anthropogenic environmental disasters rely on public pressure driving local action. We study whether focused media and increased public outcry can drive local environmental action, reducing environmental damage. Although an annual affair, forest fires in the...

Climate research suggests that global warming will lead to more frequent and more extreme natural disasters. Most disasters are local events with effects on local economic activity. Hence, assessing their economic impacts with the help of econometric country-level analysis may lead to biased...

The role climate change plays in increasing the burden on governments and insurers to pay for recovery is an area not examined by extreme event attribution research. To study these impacts, we examine the impacts of climate change attributed flooding on federal disaster aid disbursement in...

Extreme weather events have significant adverse costs for individuals, firms, communities, regional, and national economies. Extreme Event Attribution (EEA), a methodology that examines the degree to which anthropogenic greenhouse gas emissions had changed the occurrence of specific extreme...

Extreme weather induced migration is a growing concern for low and middle income countries due to the increased variability in the weather and the increase in the number of extreme weather disasters associated with climate change. The objective of this paper is to examine the inter-linkages...

In this paper we compare the new satisfaction evaluation approach, developed in the nineties by Oswald, Clark, Blanchflower and others with the older income evaluation (IEQ) approach, developed by Van Praag and Kapteyn in the seventies of the previous century. We find that both approaches yield...

Quantifying factors giving rise to temporal variation in forest fires is important for advancing scientific understanding and improving fire prevention. We demonstrate that eighty percent of the large year-to-year variation in forest area burned in California can be accounted for by variation in...

We propose autocorrelation-robust asymptotic variances of the Brier score and Brier skill score, which are generally applicable in circumstances with weak serial correlation. An empirical application in macroeconomics underscores the importance of taking care of serial correlation. We find that...

This paper presents an adjusted Faustmann Rule for optimal harvest of a forest in the presence of a social cost of carbon emissions. A contribution of the paper is to do this within theoretical and numerical frameworks that take account of the dynamics and interactions of the forest's multiple...