This research examines market power using Lau’s Hessian Identity relationships based on the empirical properties of duality theory. We compare the performance of the proposed dual approach using Lau’s Hessian Identity relationships with the simple traditional dual approach.

Non-optimal behavior due to budget constraint or credit availability is commonly observed in agricultural production. Not accounting for non-optimal behavior would result in biased estimates of risk preferences. A generalized model is developed in this article for estimating agents’ risk...

The effects of structural breaks in dynamic panels are more complicated than in time series models as the bias can be either negative or positive. This paper focuses on the effects of mean shifts in otherwise stationary processes within an instrumental variable panel estimation framework. We...

This paper examines the effect of Canadian agricultural business risk management (BRM) programs on farm financial performance. Monte Carlo simulation is used to model stochastic prices and production for a representative Alberta cropping operation. Net present value (NPV) analysis is used to...

A new stochastic process is introduced where permanent changes occur following a Poisson jump process and temporary changes occur following a normal distribution. The model is estimated using hard wheat basis data and is used to explain why the optimal length of moving average to forecast basis...

This study makes an empirical comparison of estimators for censored equations using Monte Carlo simulation. The underlying data generation process is rarely known in practice. From the viewpoint of regression, both ordinary censoring rule and sample selection rule are logical rules of censoring....

There is considerable interest in watershed-based water quality protection. However, the approach can be highly information intensive, necessitating decisions about the types and amounts of data used to guide decisions. This study examines the Bayesian value of different types and amounts of...

The hedonic pricing model is widely accepted as a method for estimating the marginal willingness to pay for spatially delineated amenities. Empirical applications typically rely on one of three functional forms—linear, semi-log, and double-log—and rarely involve rigorous specification...