Understanding the Economic Factors Influencing Farm Policy Preferences

A survey conducted in Mississippi, Texas, Indiana, and Nebraska elicited producers' preferences for various farm policy changes. This permitted examination of the diversity of preferences that single-state studies have not allowed. Five policy choices, including deficiency payments, loan programs, crop insurance, export programs, and disaster payments were examined. Logit model results predicting producer preferences for each of the five dichotomous policy choices are reported. Explanatory variables based on expected utility theory such as risk aversion, price and yield variability, and price–yield correlation are significant in various models.     

Analysis of Beef Producers' Risk Management Perceptions and Desire for Further Risk Management Education

Beef cattle producers were surveyed in Texas and Nebraska to investigate perceptions of sources of risk, the effectiveness of risk management strategies, and interest in further risk management education, particularly production risk, using probit analysis. Important decision variables identified are age, prior use of risk management tools, previous attendances of risk management education, and risk aversion. Severe drought and cattle price variability are identified as primary risk factors with potential to affect farm income. Extremely cold weather and disease are of less importance. Understocking pasture and storing hay are perceived most effective as risk management options.     

Modeling Conditional Yield Densities

Given the increasing interest in agricultural risk, many have sought improved methods to characterize conditional crop-yield densities. While most have postulated the Beta as a flexible alternative to the Normal, others have chosen nonparametric methods. Unfortunately, yield data tends not to be sufficiently abundant to invalidate many reasonable parametric models. This is problematic because conclusions from economic analyses, which require estimated conditional yield densities, tend not to be invariant to the modeling assumption. We propose a semiparametric estimator that, because of its theoretical properties and our simulation results, enables one to empirically proceed with a higher degree of confidence.     

Decoupled Farm Payments and Expectations for Base Updating

The degree to which U.S. farm programs are decoupled from production has been a central issue in recent trade disputes. Several authors have suggested producer expectations for base acreage and yield updating in future farm bills create an incentive to alter planting and input decisions. This article reports analysis of the subjective expectations of producers for base updating and an analysis of the effect these expectations have on producer willingness to accept a buyout of the right to update. On average, producers think the chances of updating in the next farm bill are about 40%, but less than 17% indicate adjusting acreage or yields in anticipation of updating.     

Moral hazard and subsidized crop insurance

Along with adverse selection, moral hazard is one of the major hurdles that private and public insurance plans must contend with. Moral hazard occurs if risks are endogenous to a producer's behavior and if the insurer is unable to properly monitor the insured. We review the role of moral hazard in the US crop insurance program. We conduct an empirical analysis of one important aspect of the US crop insurance program—prevented planting. This provision provides indemnity payments if conditions are not suitable for planting. The program has been the subject of considerable controversy, especially during 2019, when the rate of claims is expected to be especially high. Because loss adjustors may encounter difficulties in assessing the weather conditions associated with prevented planting claims, the program is susceptible to moral hazard. We consider the extent to which prevented planting claims may be endogenous to prices. We find significant evidence of moral hazard. The likelihood of prevented planting claims increases as the expected market price decreases or as fertilizer costs increase for corn and soybeans in the Prairie Pothole Region and for grain sorghum and cotton in all states.     

Harvest contract price volatility for cotton

Changes in agricultural and international trade policy have increased attention to issues of price volatility and risk management. Previous work in the area of price volatility has typically focused on grains, with little work dealing with cotton. The objective of this analysis was to examine the determinants of price volatility for cotton, focusing on the growing season volatility of the harvest contract. Different econometric techniques, including ARCH/GARCH, were employed to estimate the effects of a set of variables on price volatility. The potential for a nonlinear relationship between price and volatility was examined. Findings suggest a significant seasonal pattern to volatility as well as a nonlinear relationship between price and volatility. The results also suggest that cotton price volatility has not significantly changed with respect to changes in agricultural policy. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 717–733, 1999     

Risk Perceptions, Risk Preference, and Acceptance of Risky Food

Consumers' risk preferences are often overlooked in studies of consumer demand for risky food. We find that risk preferences elicited through context-less lottery choices are significantly related to consumers' stated preferences for genetically modified (GM) food. These results suggest risk preferences elicited in the laboratory are not artificial in the sense that they appear to be related to the same risk preferences that govern other individual decisions such as food choice. Consistent with theoretical expectations, risk perceptions and risk preferences were found to be significant determinants of acceptance of GM food, which has important implications for explaining consumer behavior.     

A model of entry–exit decisions and capacity choice under demand uncertainty

Many investment decisions of agribusiness firms, such as when to invest in an emerging market or whether to expand the capacity of the firm, involve irreversible investment and uncertainty about demand, cost or competition. This paper uses an option‐value model to examine the factors affecting an agribusiness firm's decision whether and how much to invest in an emerging market under demand uncertainty. Demand uncertainty and irreversibility of investment make investment less desirable than the net present value (NPV) rule indicates. The inactive firm is more reluctant to enter the market when it takes into account demand uncertainty because it preserves the opportunity of making a better investment later. The active firm is more reluctant to abandon the investment because there is an option value of keeping the operation alive. There is a greater distance between the entry and exit thresholds under the option‐value approach than under the NPV rule due to demand uncertainty. The results have implications for agribusiness decision‐making.     

Private Crop Insurers and the Reinsurance Fund Allocation Decision

This research investigates the strategic behavior of private crop insurance firms reinsured by the USDA through the Standard Reinsurance Agreement. This arrangement allows the private firm to strategically allocate individual policies into different risk-sharing arrangements. Thus, firm earnings are conditioned upon accurately forecasting policy loss experience. Our analysis begins with models investigating the characteristics explaining the placement of policies into the assigned risk fund. Then a simulation model of the SRA is used to compare the post-SRA returns of actual firm allocations to two alternative allocation strategies based on a aggregate models and a policy-level econometric forecasting model.