Fisheries management is complicated in nearly all cases by various types of uncertainty. Numerous economics and fisheries science publications prescribe adjustments to harvest strategies and regulations in the face of uncertainty. The conclusions and recommendations from this body of work are...

Most, if not all, production technologies are stochastic. This article demonstrates how data envelopment analysis (DEA) methods can be adapted to accommodate stochastic elements in a state-contingent setting. Specifically, we show how observations on a random input, not under the control of the...

Bank operating statistics for 1980-91 illustrate important differences between agricultural and nonagricultural banks. The agricultural banks, with a higher proportion of agricultural loans, were more profitable overall, while having more securities and fewer loans. Most agricultural banks were...

The objective of this article is to propose the use of moment functions and maximum entropy techniques as a flexible way to estimate conditional crop yield distributions. We present a moment based model that extends previous approaches in several dimensions, and can be easily estimated using...

La estimacion y analisis del riesgo sique siendo una preocupacion para todos aquellos que se dedican a la toma de decisiones economicas. En este trabajo se cuantifica el riesgo total, asi como el sistematico y especifico, de los cereales en Castilla-Leon tanto a nivel provinvial como comarcal....

In 1996 Johannesson et al. published a paper in this journal entitled “The Value of Private Safety versus the Value of Public Safety.” Based on preliminary evidence from a hypothetical contingent valuation study, these authors argue that consumers behave as “pure altruists” and reject...

We combine theory with numerical integration methods to show that for any form of uncompensated supply, compensating variation of a change in higher moments of an output price distribution can be numerically derived.

This study takes the standard acreage response model that stems from an expected utility framework, accounting for both price and yield variability, and nests it within a flexible semi-nonparametric (SNP) model consistent with farm-level decision models for computationally tractable results. We...

We formulate and estimate a farm level simulation model of agricultural crop production, and apply it to a scenario with increasing yield variability. The objective function is of the mean-variance utility type with a positive mathematical programming (PMP) cost function, and it is estimated...

This article studies the influence of risk on farms’ technical efficiency levels. The analysis extends the order-m efficiency scores approach proposed by Daraio and Simar (2005) to the state-contingent framework. The empirical application focuses on cross section data of Catalan specialised...