Structural models can assess the effectiveness of fishery management prospectively and retrospectively. However, when only fishery-dependent data are available, structural econometric models are highly nonlinear in the parameters, and maximum likelihood and other extremum-based estimators can...

To correct market failures due to the presence of negative externalities associated with energy consumption, governments have adopted a variety of policies, including taxes, subsidies, regulations and standards, and information-based policies. For example, labels that clearly convey energy...

To correct market failures due to the presence of negative externalities associated with energy consumption, governments have adopted a variety of policies, including taxes, subsidies, regulations and standards, and information-based policies. For example, labels that clearly convey energy...

Generalized quantile regressions, including the conditional quantiles and expectiles as special cases, are useful alternatives to the conditional means for characterizing a conditional distribution, especially when the interest lies in the tails. We develop a functional data analysis approach to...

Economists recommend Pigouvian taxes as the most efficient way to fight climate change. Yet, carbon taxes are difficult to implement politically. To understand why, we study Washington State's two failed carbon tax referendums from 2016 and 2018—the first such votes in the United States. We...

This paper investigates the dynamics between financial development, governance quality, renewable energy consumption, urbanization, oil prices, and environmental quality in 123 selected countries during the period 1990-2017. In particular, we examine the conditional effect of governance quality...

To correct market failures due to the presence of negative externalities associated with energy consumption, governments have adopted a variety of policies, including taxes, subsidies, regulations and standards, and information-based policies. For example, labels that clearly convey energy...

This report investigates the effects of select climate policies, non-climate policies, as well as political economy factors on the decarbonisation of electricity in OECD countries from 2000 to 2015. Effects are analysed on the three phases of decarbonisation: (1) increasing the share of...

A method to predict lightning by postprocessing numerical weather prediction (NWP) output is developed for the region of the European Eastern Alps. Cloud-to-ground-flashes - detected by the ground-based ALDIS network - are counted on the 18x18 km2 grid of the 51-member NWP ensemble of the...

A probabilistic forecasting method to predict thunderstorms in the European Eastern Alps is developed. A statistical model links lightning occurrence from the ground-based ALDIS detection network to a large set of direct and derived variables from a numerical weather prediction (NWP) system. The...