This article examines the challenge and opportunities of Big Data, and concludes that these
technologies will lead to relevant analysis at every stage of the agricultural value chain. Big …

Despite significant progress in average yields, the sensitivity of corn and soybean yields to
extreme heat has remained relatively constant over time. We combine county-level corn and …

Yield forecasts are generally based on a combination of expert knowledge, survey data,
statistical analyses and model simulations. These forecasts, when public, influence crop …

Rating insurance policies depends on the probability of events in the tail of a distribution. A
method to measure such tail‐related risk based on Extreme Value Theory could potentially …

The Agricultural Act of 2014 solidified insurance as the cornerstone of US agricultural policy.
The Congressional Budget Office (2014) estimates that this act will increase spending on …

Risk management in agricultural production is a first order problem as producers' long-run
sustainability often depends on their ability to reduce the adverse effects of profit …

In empirical applications with crop yield data, conditioning for heteroscedasticity is both
important and challenging. It is important because the scale of the distribution can markedly …

Although crop insurance is widely acknowledged as an effective risk management strategy
for safeguarding food security, the causality between crop insurance premium subsidies and …

This paper proposes a density ratio estimator of crop yield distributions, wherein the number
of observations for individual distributions is often quite small. The density ratio approach …

Spatiotemporal dependence structures play a pivotal role in understanding the
meteorological characteristics of a basin or subbasin. This further affects the hydrological …