Consistency of risk premium measures

This research uses the results of a series of within‐sample experiments to elicit risk premium measures from agricultural producers. Results show that there is little consistency between measures in different contexts and using different elicitation methods, suggesting that underlying risk preferences are not consistent. These results highlight some of the difficulty with expected utility theory and risk measurement.     

Evaluating the Potential of Index Insurance Schemes to Reduce Crop Yield Risk in an Arid Region

We evaluate yield risk reduction through weather index, area yield index and farm yield insurance contracts for wheat farms in Kazakhstan by employing data from 1980 to 2002. We use the usual mean variance (MV) approach and also a second‐degree stochastic dominance (SSD) criterion. While MV is not necessarily consistent with the expected utility (EU) theory, SSD results only in a minimum but EU‐consistent benefit from insuring. Differences in the estimation results for both approaches underline the advantage of applying both criteria to analyse the risk‐reducing potential of crop insurance. Bootstrapping results show that none of the analysed insurance schemes provides statistically significant risk reduction for every single farm. In addition, weather‐based index insurance is found to provide less risk reduction than area yield insurance based on the rayon (county) yield. Moreover, rayon yield index insurance can reduce yield risk more effectively for Kazakhstan's wheat producers than farm yield insurance with a low strike yield.     

Multi‐Criteria Analysis of Input Use in Agriculture

In this paper we present a methodology for the analysis of input use in the agricultural sector. The novelty of the theoretical model described here is that it has been developed considering a multi‐criteria environment. Thus, the optimal input use condition is determined by evaluating “multi‐attribute utility” and “multi‐attribute marginal utility”. We show how the approach adopted in this paper is a generalisation of the single‐attribute expected utility theory. The theoretical model developed is thereafter implemented in an empirical application that studies water for irrigation use as a particular case. The results show how multi‐attribute utility functions elicited for a sample of 52 irrigators explain differences in irrigation water use in relatively homogeneous agricultural systems, albeit exhibiting dissimilar partial utility functions for water use. We conclude that these differences come from the dissimilar weights that farmers attach to each attribute in the aggregate utility function.     

基于序期望效用的洪水保险需求研究

在序期望效用决策框架下对洪水保险的投保行为进行建模,通过假设洪水保险的投保人的风险偏好是一阶风险厌恶的,得出和期望效用决策理论下不一致的结果,分析了序期望效用下的免赔额数学模型的经济学意义,并得出结论：免赔额的设置与保费附加费系数的高低将对洪水保险的有效需求造成影响。     

Risk Behaviours and Grazing Land Management: A Framed Field Experiment and Linkages to Range Land Condition

We use a framed field experiment considering hypothetical stocking rate decisions made by grazing enterprise managers and estimate non‐linear multinomial logit models for a range of nested non‐expected utility and expected utility models. The risk and decision‐bias parameters for five models estimated for individual responses are shown to be significantly related to land condition but in ways which suggest behavioural aspects of decision making are critical in understanding land management and stocking rate decisions. Our results show that individual heterogeneity in decision making amongst farming groups is likely to be a significant source of variation in farming intensity and technology adoption decisions. This heterogeneity does not appear to be a reflection of socio‐demographic characteristics. Furthermore, decision functions appear to be biased toward selection of simpler representative functions (e.g. Expected Utility) for sample averages. This suggests that experimental findings that Expected Utility is representative for actual decisions may be due to sample averaging rather than reflect actual behaviour.     

Why diversity and expectations matter

This article was delivered in a session entitled Insights from a behavioral lens: why perceptions and diversity matter. In the article, I ask whether a diverse academic workforce is an asset to a University, and more generally to society, and conclude that it is. Although this conclusion is based on empirical data from US universities, the message is universal. Even when correcting for years of experience, rank, and nature of appointment and women's work‐life situation, there is still a negative expectation bias, whereby women and minority candidates are not expected to be as good as male researchers (a bias that also exists in the case of the appointment of female Chief Executive Officers). On the other hand, more women and minority appointments increase the productivity of women students.     

Design efficiency for non‐market valuation with choice modelling: how to measure it,what to report and why*

We review the basic principles for the evaluation of design efficiency in discrete choice modelling with a focus on efficiency of WTP estimates from the multinomial logit model. The discussion is developed under the realistic assumption that researchers can plausibly define a prior belief on the range of values for the utility coefficients. D‐, A‐, B‐, S‐ and C‐errors are compared as measures of design performance in applied studies and their rationale is discussed. An empirical example based on the generation and comparison of fifteen separate designs from a common set of assumptions illustrates the relevant considerations to the context of non‐market valuation, with particular emphasis placed on C‐efficiency. Conclusions are drawn for the practice of reporting in non‐market valuation and for future work on design research.     

Economic Perspectives on Nutrition Policy Evaluation

Too much food energy intake (relative to expenditure) and unbalanced diets are implicated in a range of diseases that impose major burdens on healthcare systems and cause pain and suffering. Governments have responded by introducing a range of measures, mainly targeting information and education, largely to children. However, more interventionist measures have been advocated and, in the past year, various food taxes have been introduced in Denmark, Hungary and France. The Address discusses evaluation of policies, particularly in the light of alternative theories of diet choice (rational choice, systematically irrational, automatic). The public health approach uses quality adjusted life years but fails to distinguish between private and social benefits and takes no account of the drivers of food choice behaviour. The economic approach, based on informed choice, makes the distinction between private and social benefits (if not always explicitly) but struggles to evaluate policies that change utility functions and with behavioural assumptions other than traditional rationality. Alternative assumptions and approaches could put the cost of unhealthy eating anywhere between £10 billion and £100 billion per annum in the UK. Evidence suggests that information measures (to perform or persuade) do not much change diets, nor do they tackle the externality element of unhealthy eating. They may, however, help change long‐term social norms. More interventionist measures like taxes improve social welfare (according to the compensation principle) and reduce health inequalities but are regressive, like all sin taxes. Almost all interventions pass cost‐effectiveness tests.     

Choice of utility function form: its effect on classification of risk preferences and the prediction of farmer decisions

In applications of expected utility analysis, researchers are confronted with a choice among several utility functional forms. Subjective utility values and probability distributions for price and yield were elicited from Sri Lankan producers of minor export crops. Exponential quadratic and cubic utility functions were estimated. The choice of functional form was found to affect both the classification of risk attitudes and the prediction of harvesting strategy. The exponential function was the best predictor of harvesting strategy because it was the best predictor of mature harvesting. All three functions were equally poor predictors of premature harvesting.     

Demand for meat and dairy products by Turkish households: a Bayesian censored system approach

We extend the Tobit (censored) linear equation system procedure to utility‐theoretic demand functions, along with a mapping mechanism to impose the adding‐up restriction implied by consumer utility maximization theory—a theoretical restriction very often ignored in previous empirical studies with censored demand systems. In this context, the Bayesian Markov Chain Monte Carlo (MCMC) procedure is applied to the censored linear approximate almost ideal demand system (LAIDS) for 12 food products, using data from the Turkish Household Expenditure Survey. All own‐price elasticities are negative and expenditure elasticities positive. Uncompensated own‐price elasticities for rural households are generally much higher than those for their urban peers, though demand for most food products are own‐price elastic for both types of households. The differential patterns in demand elasticities between urban and rural households become even more evident (almost twice) as relatively more expensive foodstuffs are consumed, showing that accessibilities to alternative products have made rural Turkish households more cognizant toward price changes in foods. Household characteristics play a key role in food expenditures, notably so in urban areas, and regional and seasonal differences are also present.     

The effects of current income and expected change in future income on stated preferences for environmental improvements

We formulate and test the hypothesis that expectations regarding changes in future income influences the WTP for environmental goods. For valuation of environmental goods in forests and other habitats in Denmark, we find that both current income and expected changes in future income are significant determinants for preferences. The effect of income on WTP seems to be caused by changes in preferences for environmental attributes rather than by marginal utility of income. The results suggest that to evaluate the distributional impacts of environmental improvements, researchers need a better measure of expected future consumption options than current income.     

Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture

Stated choice models based on the random utility framework are becoming increasingly popular in the applied economics literature. The need to account for respondents' preference heterogeneity in such models has motivated researchers in agricultural, environmental, health, and transport economics to apply random parameter logit and latent class models. In most of the published literature these models incorporate heterogeneity in preferences through the systematic component of utility. An alternative approach is to investigate heterogeneity through the random component of utility, and covariance heterogeneity models are one means of doing this. In this article we compare these alternative ways of incorporating preference heterogeneity in stated choice models and evaluate the sensitivity of estimated welfare measures to which approach is selected. We find that a latent class approach fits our data best, but all the models perform well in terms of out-of-sample predictions. Finally, we discuss what criteria a researcher can use to decide which approach is most appropriate for a given data set.     

RISK PERCEPTION AND THE ANALYSIS OF RISK ATTITUDES*

Risk has long been recognised as an important feature of the environment facing farmers. In recent years the von Neumann-Morgenstern expected utility theory has been used to analyse decision making under risk. However, many people behave in a manner inconsistent with the expected utility theory. One widely suggested explanation is based on subjective probability distortion. A number of attempts to incorporate this phenomenon into utility theories have been made. In this paper, the problems of analysing subjective probability distortion are discussed. Evidence from a survey of farmers' risk attitudes undertaken in conjunction with the 1977 BAE Australian Agricultural and Grazing Industries Survey is analysed in the light of this discussion.     

Effect of yield and price risk on conversion from conventional to organic farming*

Although the benefits of organic farming are already well known, the conversion to organic farming does not proceed as the Dutch government expected. In order to investigate the conversion decisions of Dutch arable farms, a discrete stochastic dynamic utility‐efficient programming (DUEP) model is developed with special attention for yield and price risk of conventional, conversion and organic crops. The model maximizes the expected utility of the farmer depending on the farmer’s risk attitude. The DUEP model is an extension of a dynamic linear programming model that maximized the labour income of conversion from conventional to organic farming over a 10 year planning horizon. The DUEP model was used to model a typical farm for the central clay region in the Netherlands. The results show that for a risk‐neutral farmer it is optimal to convert to organic farming. However, for a more risk‐averse farmer it is only optimal to fully convert if policy incentives are applied such as taxes on pesticides or subsidies on conversion, or if the market for the organic products becomes more stable.     

Incorporating nutrients into meat demand analysis using household budgets data

The objective of this article is to analyze the Spanish demand for meat, taking into account the consumer's concern about the relationship between food diet and health. This concern is forcing food demand analysts to assume that consumer utility is a function of nutrients instead of simply the food products themselves. Nevertheless, these utility function arguments are not produced in the marketplace but rather at home. As a consequence, in this article household production theory is followed in order to analyze Spanish demand for meat using the Quarterly National Expenditure Survey for 1999. Demands for several meat products (the input in the model) are derived from the translog cost function. Censored regression models are used in the estimation process, since many zero responses are reported. Five broad categories, eight nutrients, and the most relevant socioeconomic variables are considered. Finally, a set of elasticities is calculated with respect to all the variables included in the analysis.     

Welfare Effects of Food Safety Recalls

Estimates of the welfare losses associated with food recalls typically assume the announcement causes demand to shift, or the willingness‐to‐pay (WTP) falls for all quantity levels. Several researchers, however, have observed evidence of a rotation as well, where WTP rises for some consumers and falls for others. Preference heterogeneity theory implies that this observation results from an increase in the dispersion of demand. We test this theory using Centers for Disease Control and Prevention announcement data and Nielsen Homescan panel data for the fresh produce category. We find that the rotation effect cannot be disregarded, but is still dominated in welfare calculations by the shift effect of a recall announcement.     

Assessing farmers’ risk preferences and their determinants in a marginal upland area of Vietnam: a comparison of multiple elicitation techniques

We examine the consistency of risk preference measures based on eight hypothetical elicitation methods and a lottery game applied to smallholder farmers in a marginal upland environment in Vietnam. Using these measures, we identify influencing factors of risk aversion via regression analysis, whereby unlike previous studies, we include several proxies of social capital such as social networks and norms. Data were collected from household heads and spouses separately in a random sample of 300 households. Although correlations between most of the various risk preference measures are all statistically highly significant, most are weak. On average, respondents have a high degree of risk aversion and specific characteristics—gender, age, idiosyncratic shocks, education, social norms, network‐reliance with extended family, and connections to local authorities—are significant determinants of risk preferences across most elicitation methods, whereas others—the household's dependency ratio, wealth, and covariate shocks—are significant in a few methods only. The explanatory power of the models is limited, indicating that other factors are likely to be of greater importance in determining risk preferences. The results can help target safety nets, encourage investments, and lead to the development of more applicable methods for assessing risk preferences of smallholders in developing countries.     

A Simple Method of Incorporating Income Effects into Logit and Nested-Logit Models: Theory and Application

Substantive income effects are incorporated in a logit or nested-logit model by assuming that utility is a piece-wise linear spline function of residual income. Specific income data are not required, only income by category. Expected compensating variation is easily and accurately approximated by the difference between expected maximum utility in the proposed and initial state, multiplied by the inverse of the individual's initial marginal utility of money. This approximation is almost exact because although any policy can, in theory, cause an individual to jump income categories, for most policies this probability will be very small.     

Adoption of organic farming in Germany and Austria: an integrative dynamic investment perspective

Farm‐level adaptation to changing economic environments is often slower than expected. Technological innovations, for instance, are frequently adopted at a later date than the net present value of investment suggests. This can be explained by a model of “investment under uncertainty,” which consistently accounts for uncertainty, sunk costs, and the flexibility of investment timing. Its essential conclusion is that, due to temporal opportunity costs, critical incremental cash flows that trigger investments might be higher than those needed for simple cost recovery. This accounts for an ostensible reluctance to invest (economic hysteresis). In this article, we demonstrate how slow conversion to organic farming in general, and the different rates of conversion in Germany and Austria in particular, can be explained by the new investment theory.     

Risk Management for Grain Processors and “Copulas”

The importance of calibrating hedging strategies for processors has escalated primarily due to the sharply increased volatility of futures, product, and by‐product prices. The purpose of this paper is to analyze price risk‐management strategies for wheat flour milling using copula distributions. While the application is for flour milling, it has similarities with other processing industries which confront one or more ingredients, one or more outputs, and futures for one of the commodities and/or products. The paper develops utility maximizing models encompassing expected return and risk. Alternative scenarios are evaluated. First, the models were used to derive optimal hedge ratios, as well as various measures of risk and return under alternative scenarios, and hedge durations. The results indicated hedge ratios are typically less than 1. The hedge ratios for the Mean‐value‐at‐risk (M‐VaR)‐Copula model increased with greater durations. Second, the VaR for the M‐VaR‐Copula was in most cases less than the noncopula specifications. Thus, noncopula models may over state risk as represented by VaR.