Rice productivity and sustainability are continually threatened by abiotic stresses, particularly in the era of global climate change. In severe cases, 100% yield loss can be experienced due solely to abiotic stresses, such as drought. The situation may become worse due to climate change that...

This article examines the production risk effects and welfare implications of Bt corn adoption in the Philippines by specifically considering the impact of Bt on the mean, variance, and skewness of yields. Assessing the skewness effects of Bt provides further inferences about the downside risk...

Copulas have become an important analytic tool for characterizing multivariate distributions and dependence. One is often interested in simulating data from copula estimates. The process can be analytically and computationally complex and usually involves steps that are unique to a given...

In this study, we develop a new approach to investigate spatial market integration. In particular, it is a Markov-Switching autoregressive (MSAR) model with time-varying state transition probabilities. Studying market integration is an effective way to test whether the law of one price holds...

In this study, we propose a new approach to estimating optimal dynamic cross-hedge ratios. In particular, we apply copula models to discuss the use of corn futures contracts to cross hedge grain sorghum, and the use of Kansas wheat futures contracts to cross hedge barley. Hedge (or cross-hedge)...

We pursue two distinct approaches to measuring the stability and validity of conventional approaches to measuring acreage response. Our focus is on corn and soybeans, which have perhaps been the most significantly impacted of the main commodities by market and policy changes. As noted, much of...

An extensive empirical literature has examined the behavior of crop yields over time. Corn yields have been characterized by signficant increases reflecting an array of technological developments that have substantially boosted productivity. While much of the focus has been on modeling...

Our study focuses on modeling wildfire damage in the State of Florida. The approach is to evaluate wildfire risks in a spatio-temporal framework. A block bootstrapping method has been proposed to construct a statistical model accounting for explanatory variables while adjusting for spatial and...

In this paper, we introduce the copula approach to the empirical research of asymmetric price transmission. The proposed methodology serves as an appropriate improvement for investigating price co-movement and market integration as it allows for flexible dependence/ structures among price...