David A. Hennessy

Bio: David A. Hennessy is an academic researcher from Michigan State University. The author has contributed to research in topics: Crop insurance & Futures contract. The author has an hindex of 32, co-authored 271 publications receiving 4588 citations. Previous affiliations of David A. Hennessy include Washington State University & Iowa State University.

The production effects of agricultural income support policies under uncertainty

Abstract: This analysis decomposes the production impacts of income support programs into wealth, insurance, and coupling effects. Under the usual assumptions about preferences, the wealth and insurance effects of many support programs increase optimal input levels even for supposedly decoupled programs. If the program is “coupled” in the usual sense, then all three effects often act in the same direction. It is concluded that studies of trade and domestic policy reform in stochastic environments should consider insurance and wealth effects. The derivative conditions required to obtain results are also subjected to scrutiny. Simulations for an Iowa corn producer confirm the comparative statics.

Chapter 2 Uncertainty, risk aversion, and risk management for agricultural producers

Abstract: Uncertainty and risk are quintessential features of agricultural production. After a brief overview of the main sources of agricultural risk, we provide an exposition of expected utility theory and of the notion of risk aversion. This is followed by a basic analysis of agricultural production decisions under risk, including some comparative statics results from stylized models. Selected empirical topics are surveyed, with emphasis on risk analyses as they pertain to production decisions at the farm level. Risk management is then discussed, and a synthesis of hedging models is presented. We conclude with a detailed review of agricultural insurance, with emphasis on the moral hazard and adverse selection problems that arise in the context of crop insurance.

Input Demand under Yield and Revenue Insurance

Abstract: Previous studies disagree on the effects of insurance on fertilizer application rates. The effect of increased fertilizer on the probability of low yields primarily determines whether fertilizer and insurance are substitutes or complements. We estimate conditional distributions of corn yields to determine if the technical relationship between yields and fertilizer supports the hypothesis that insurance increases optimal application rates. Our results indicate no support for this hypothesis. At all nitrogen fertilizer rates and reasonable levels of risk aversion, nitrogen fertilizer and insurance are substitutes, suggesting that those who purchase insurance are likely to decrease nitrogen fertilizer applications.

Uncertainty, Risk Aversion, and Risk Management for Agricultural Producers

Abstract: Uncertainty and risk are quintessential features of agricultural production. After a brief overview of the main sources of agricultural risk, we provide an exposition of expected utility theory and of the notion of risk aversion. This is followed by a basic analysis of agricultural production decisions under risk, including some comparative statics results from stylized models. Selected empirical topics are surveyed, with emphasis on risk analyses as they pertain to production decisions at the farm level. Risk management is then discussed, and a synthesis of hedging models is presented. We conclude with a detailed review of agricultural insurance, with emphasis on the moral hazard and adverse selection problems that arise in the context of crop insurance.

Information Asymmetry as a Reason for Food Industry Vertical Integration

Abstract: Three trends that have been subject to recent discussion are a movement away from undifferentiated agricultural commodities toward more specialized products, reduced reliance on open markets for raw agricultural products, and a movement toward agricultural industrialization. Recent research suggests that demographic trends may be causing the first trend, while the other two are closely related phenomena. This research suggests that information externalities, arising from uncertainty concerning the nature of food quality and problems in detecting quality, may be reasons why vertical coordination is being used to circumvent the marketplace.

Thinking fast and slow.

Abstract: In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.

Climate change 2014 - Mitigation of climate change

Abstract: The talk with present the key results of the IPCC Working Group III 5th assessment report. Concluding four years of intense scientific collaboration by hundreds of authors from around the world, the report responds to the request of the world's governments for a comprehensive, objective and policy neutral assessment of the current scientific knowledge on mitigating climate change. The report has been extensively reviewed by experts and governments to ensure quality and comprehensiveness.

Precautionary Saving in the Small and in the Large

Abstract: The theory of precautionary saving is shown in this paper to be isomorphic to the Arrow-Pratt theory of risk aversion, making possible the application of a large body of knowledge about risk aversion to precautionary saving, and more generally, to the theory of optimal choice under risk In particular, a measure of the strength of precautionary saving motive analogous to the Arrow-Pratt measure of risk aversion is used to establish a number of new propositions about precautionary saving, and to give a new interpretation of the Oreze-Modigliani substitution effect

Recent Developments in Frontier Modelling and Efficiency Measurement

Abstract: In this paper recent developments in the estimation of frontier functions and the measurement of efficiency are surveyed, and the potential applicability of these methods in agricultural economics is discussed. Frontier production, cost and profit functions are discussed, along with the construction of technical, allocative, scale and overall efficiency measures relative to these estimated frontiers. The two primary methods of frontier estimation, econometric and linear programming, are compared. A survey of recent applications of frontier methods in agriculture is also provided. (This abstract was borrowed from another version of this item.)