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...

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...

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...

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...

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...

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...

We estimate the irrigation water demand for a season under uncertainty using a dynamic programming model and a crop-growth simulation model (EPIC-PHASE) linked to a CRRA utility function representing the farmer's objective function. This model is used to generate the data allowing the estimation...

This paper develops a specification of the credit scoring model with high discriminatory power to analyze data on loans at the retail banking market. Parametric and non- parametric approaches are employed to produce three models using logistic regression (parametric) and one model using...

Although economic agents routinely face various types of economic uncertainty, their effects are often unclear and hard to assess, in part due to the absence of suitable measures of uncertainty. Because of the numerous and very substantial institutional changes that people in the transition...

This study analyzes the relationship of individual risk attitudes and occupational sorting with respect to occupational earnings risk. By using the German Mikrozensus, a precise measure for earnings risk is computed as the occupation-wide standard deviation of wages. Following the procedure...