This is a survey paper of the recent literature on the application of semiparametric–econometric advances to testing for functional form of the environmental Kuznets curve (EKC). The EKC postulates that there is an inverted U-shaped relationship between economic growth (typically measured by...

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

The statistical forecasting efficiency of new crop corn and soybean futures is the topic of frequent academic inquiry. However, few studies address the usefulness of these forecasts to economic agents? decision making. Each year Central Illinois producers are faced with the decision to plant...

This article investigates the pricing of volatility risk in agricultural commodity markets. We show theoretically that the cost of bearing volatility risk can be measured using returns to delta-neutral straddles. Using a sample of options for five commodities (corn, soybeans, Chicago wheat, live...