High-frequency data can provide us with a quantity of information for forecasting, help to calculate and prevent the future risk based on extremes. This tail behaviour is very often driven by exogenous components and may be modelled conditional on other variables. However, many of these...

The goal of this paper is to search for conclusive evidence against the stationarity of the global air surface temperature, which is one of the most important indicators of climate change. For this purpose, possible long-range dependencies are investigated in the frequency-domain. Since...

High-frequency data can provide us with a quantity of informa- tion for forecasting, help to calculate and prevent the future risk based on extremes. This tail behaviour is very often driven by ex- ogenous components and may be modelled conditional on other vari- ables. However, many of these...

Empirically evaluating environmental policies requires grappling with impacts that exhibit not only cross-sectional heterogeneity, but also variation across time. Phased policy roll-outs offer opportunities for improvement across cohorts and policy effects can grow or decay, especially when...

Fisheries management must manage people in order to manage fish. In this sense, understanding fishing behavior is the cornerstone of effective fisheries policy. However, the latency of fish stocks is a major obstacle in empirical studies. This paper addresses this challenge by deriving a stock...

In this paper we introduce inverse demand systems that include quadratic scale terms. These systems are similar to regular quadratic demand systems introduced by Howe, Pollack, and Wales. A unique feature of these specifications is that they maintain linear scale curves as a special case. For...

Mangroves are considered ecologically important due to their role as breeding grounds and nursery habitats for off-shore fisheries. However, mangrove deforestation through conversion to shrimp aquaculture threatens this valuable function. This paper develops a "dynamic" production function...

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...

This paper explore the role of institutions to enhance the productivity growth across countries using a two stage Double Bootstrap Data Envelopment Analysis (DEA). The productivity growth is calculated on the basis of Malmquist productivity index. It also explores the sources of productivity...

This paper empirically examines the determinants of the demand for alternative energy sources and propulsion technologies in vehicles. The data stem from a stated preference discrete choice experiment with 598 potential car buyers. In order to simulate a realistic automobile purchase situation,...