Because of considerably increased farmland prices, not only in Germany, the question arises whether farmland is still affordable for farmers. Hence, there is a call for price caps. If farmland prices are to be capped by political intervention, identifying the main farmland price determinants especially for the highest prices is essential. Using quantile regression for German standard farmland values, we find heterogeneous relationships across the estimated quantiles for several covariates. Nonagricultural factors are often more pronounced at the upper tail of the conditional distribution. We recommend focusing primarily on factors in the upper quantiles to prevent further farmland price increases.

Weed-suppressive rice cultivars have the potential to reduce heavy reliance on synthetic herbicides in rice production. However, the economics of using weed-suppressive rice cultivars in conventional rice systems have not been fully evaluated. This study uses simulation and stochastic efficiency with respect to a function to rank weed-suppressive and weed-nonsuppressive rice cultivars under alternative herbicide intensity levels based on their certainty equivalents mapped across increasing levels of absolute risk aversion. The results indicate risk-averse rice producers would prefer to grow weed-suppressive cultivars using less herbicide inputs than what would be used to grow weed-nonsuppressive rice cultivars.

We develop a dynamic economic model based on contemporary understanding of learning and motivation. The model and resulting comparative static analysis show the instructor's role in providing a productive learning environment. Instructors should set the complexity of course assignments and assessments to be consistent with student preparedness. Learning is enhanced when the rate of change in challenge is based on the rate of change of how rapidly students are learning. Instructors steer students toward a productive trajectory with tasks that cause students to work hard and by consistently providing feedback and fostering a culture of learning.

The Agricultural Act of 2014 introduced new crop insurance policies to manage agricultural risk, especially to cotton farmers. A representative farm panel was used to elicit the yield distribution of the farm, county, and correlation. Results suggest that the optimal underlying insurance policy is Revenue Protection at a 75% coverage level for both high- and low-productivity farms even with a Yield Exclusion provision. The Stacked Income Protection Plan benefit is mostly attributable to a higher insurance premium subsidy. For any crop, efficient agricultural risk management can be achieved through understanding the guaranteed yield and its relation to the farm and county yield.

The U.S. livestock industry is increasingly faced with pressure to adjust practices in response to societal concerns—specifically related to farm animal welfare. Using best-worst scaling, we determine which practices the U.S. public and cow-calf producers view as the most effective and most practical practices to improve beef cattle welfare. Latent class models are used to understand heterogeneity within and across the public and producers. Fresh, clean feed and water was viewed by most groups as both effective and practical. Furthermore, castrate with pain control and dehorn with pain control were seen as the least effective and practical practices.

Tennessee cattle producer willingness to participate in a hypothetical Tennessee Branded Beef Program (TBBP) was examined using 2016 survey data. Willingness to participate in the TBBP was modeled using a probit model. Among those willing to participate, a Tobit model was used to estimate the pounds of live-weight beef producers were willing to supply into a TBBP. Age, production practices, and risk attitudes influenced willingness to participate. Among those willing to participate, projected TBBP supply per farm averaged 32,329 pounds and was influenced by on-farm animal units, production practices, perceived barriers, risk attitudes, and consequentiality beliefs.

Researchers have employed farm household models (FHMs) for policy analysis under the separability assumption. However, separability can fail, and the household's production and consumption decisions become simultaneous. Using 5 years of household data, the separability assumption among Ghana's cocoa-producing households is tested via heterogeneity of household adult males and females, household children, and hired and exchange labor. Results show labor is heterogeneous, implying a lack of separability. Simulation analysis also shows that ignoring nonseparability leads to an underestimation of policy effects. Thus, nonseparability in production and consumption decisions must be incorporated in FHMs developed for Ghanaian cocoa-producing households.