Treating respondent uncertainty in contingent valuation: A comparison of empirical treatments

This research examines the impact of uncertainty on contingent valuation responses using (1) a survey of Canadian landowners about willingness to accept compensation for converting cropland to forestry and (2) a survey of Swedish residents about willingness to pay for forest conservation. Five approaches from the literature for incorporating respondent uncertainty are used and compared to the traditional random utility model with assumed certainty. The results indicate that incorporating uncertainty has the potential to increase fit, but could introduce additional variance. While some methods for uncertainty can be an improvement over traditional approaches, it is imperative to exercise caution when making systematic judgments about the effect of uncertainty on contingent valuation responses.     

A Discussion of “Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model”

In the current issue of Environmental and Resource Economics, Morey et al. (2006) discuss a new approach to using attitudinal data in latent class modeling. We compare this approach with the one taken in Boxall and Adamowicz (2002), in the context of a discrete choice, random utility framework with heterogeneous preferences. We derive the respective likelihood functions of the two approaches to show that they are structurally similar, and discuss their implications for the use of attitudinal data. We conclude with a discussion comparing the relative merits of latent class and random parameters (mixed logit) modeling, offering the view that as a practical matter, choosing between them depends on the analyst’s judgment about the correlation of preference parameters.     

Experienced Utility as a Standard of Policy Evaluation

This paper explores the possibility of basing economic appraisal on the measurement of experienced utility (utility as hedonic experience) rather than decision utility (utility as a representation of preference). Because of underestimation of the extent of hedonic adaptation to changed circumstances and because of the “focusing illusion” (exaggerating the importance of the current focus of one’s attention), individuals’ forecasts of experienced utility are subject to systematic error. Such errors induce preference anomalies which the experienced utility approach might circumvent. The “day reconstruction method” of measuring experienced utility is considered as a possible alternative to stated preference methods. JEL classifications: D63, Q51     

A new valuation question: analysis of and insights from interval open-ended data in contingent valuation

This paper introduces a type of open-ended valuation question where respondents state their willingness to pay in the form of an interval rather than a point estimate. Allowing the response to be expressed as an interval has advantages compared to traditional valuation questions: it captures potential valuation uncertainty, facilitates interpretation of uncertainty and most importantly, provides a richer set of information about individuals’ preferences. Furthermore, an open-ended willingness to pay format has advantages if a survey is carried out in more than one country. Too little is known about valuation uncertainty to represent willingness to pay only as an exact value. Therefore, this value should be complemented by upper and lower boundary estimates. In this paper I present new methods for estimating these different values. The methods are illustrated with results from a survey concerning wild salmon in the Vindel River, northern Sweden. The results suggest that the upper and lower boundaries provide a kind of confidence interval for the willingness to pay, which is encouraging for estimating these values to characterise willingness to pay. The results also illustrate that some earlier criticism in the literature of open-ended questions does not apply to the question presented in this paper.     

EDGAR on the internet: The welfare effects of wider information distribution in an experimental market for risky assets

Policies such as the SEC’s Fair Disclosure Rule, and technologies such as SEC EDGAR, aim to disseminate corporate disclosures to a wider audience of investors in risky assets. In this study, we adopt an experimental approach to measure whether this wider disclosure is beneficial to these investors. Price-clearing equilibrium models based on utility maximization and non-revealing and fully-revealing prices predict that in a pure exchange economy, an arbitrary trader would prefer that no investors are informed rather than all are informed; non-revealing theory further predicts that an arbitrary trader would prefer a situation in which all traders are informed rather than half the traders are informed. These predictions can be summarized as “None > All > Half”. A laboratory study was conducted to test these predictions. Where previous studies have largely focused on information dissemination and its effects on equilibrium price and insider profits, we focus instead on traders’ expected utility, as measured by their preferences for markets in which none, half, or all traders are informed. Our experimental result contradicts the prediction and indicates “Half > None > All”, i.e. subjects favor a situation where a random half is informed. The implication is that in addition to testing predictions of price equilibrium, experiments should also be used to verify analytical welfare predictions of expected utility under different policy choices. JEL Classification D82, D53, G14, L86 This work was largely completed while this author was at The Hong Kong University of Science and Technology.     

A Nonparametric Revealed Preference Approach to Measuring the Value of Environmental Quality

We develop an approach to valuing non-market goods using nonparametric revealed preference analysis. We show how nonparametric methods can also be used to bound the welfare effects of changes in the provision of a non-market good. Our main context is one in which the non-market good affects the marginal utility of consuming a related market good. This can also be framed as a shift in the taste for, or quality of, the market good. A systematic approach for incorporating quality/taste variation into a revealed preference framework for heterogeneous consumers is developed. This enables the recovery of the minimal variation in quality required to rationalise observed choices of related market goods. The variation in quality appears as a adjustment to the price for related market goods which then allows a revealed preference approach to bounding compensation measures of welfare effects to be applied.     

Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment

Different approaches to modelling the distribution of WTP are compared using stated preference data on Tanzanian Clinical Officers’ job choices and mixed logit models. The standard approach of specifying the distributions of the coefficients and deriving WTP as the ratio of two coefficients (estimation in preference space) is compared to specifying the distributions for WTP directly at the estimation stage (estimation in WTP space). The models in preference space fit the data better than the corresponding models in WTP space although the difference between the best fitting models in the two estimation regimes is minimal. Moreover, the willingness to pay estimates derived from the preference space models turn out to be very high for many of the job attributes. The results suggest that sensitivity testing using a variety of model specifications, including estimation in WTP space, is recommended when using mixed logit models to estimate willingness to pay distributions.     

Profit maximization mitigates competition?

Summary. We consider oligopolistic markets in which the notion of shareholders’utility is well-defined and compare the Bertrand-Nash equilibria in case of utility maximization with those under the usual profit maximization hypothesis. Our main result states that profit maximization leads to less price competition than utility maximization. Since profit maximization tends to raise prices, it may be regarded as beneficial for the owners as a whole. Moreover, if profit maximization is a good proxy for utility maximization, then there is no need for a general equilibrium analysis that takes the distribution of profits among consumers fully into account and partial equilibrium analysis suffices.     

A comparison of regret-based and utility-based discrete choice modelling – an empirical illustration with hospital bed choice

There is some concern that the unobserved preference heterogeneity in random utility maximization theory-based discrete choice experiment modelling is an important source of error variability. The randomness in utility is often interpreted as interpersonal preference heterogeneity but it can also be intrapersonal random variation in preferences. We compare utility maximization and regret minimization-based choice models’ sensitivity to individual heterogeneity, examine differences between two consecrated models and validate with empirical illustrations. We use frequency of category (public, semi-private, and private) of bed chosen from Swiss cross-sectional datasets (2007–2012) to compare two approaches – utility maximization and regret minimization by applying multinomial logit (MNL) models in regard to the variances in utility (regret) function, goodness-of-fit and predicted marginal effects (pseudo-elasticity) of additional payment. We find parameters with the same sign and estimates with almost same order of magnitude in both the approaches. The statistical significance of attribute effects is consistent in all variants of utility -based MNL models while effects of different attributes are significant only in heteroskedastic extreme value (HEV) variant of regret-based MNL models. This empirical illustration suggests that HEV variant of regret-based models perform better in capturing attribute effects in choice behaviour.     

Agricultural policy regime change assessment: Austrian accession to the European union

Policy regime change evaluation involves assessing what would have been had the policy not changed. In this paper, we empirically assess the impact on Austrian pig producers of the 1995 decision of Austria to join the European Union. Applying a recently developed Hausman–Wu-Type cointegration test, we confirm the existence of a cointegrating relationship between Austrian and EU pig prices series. This relationship is used to forecast the counterfactual time path of prices. Within an expected utility framework, we compute the Austrian producer’s willingness to pay to remain under the pre-accession policy. Accounting for the dual income and insurance effects, we found producers to have been under-compensated. Conventional welfare measures which do not include the insurance component would significantly underestimate the total welfare impact.     

Welfare reform: A game theoretic perspective

Traditionally, the debate over welfare reform has been infused with passion and driven by ideology, but reform itself has proceeded in careful steps. In recent years, however, the status quo has been dramatically altered as the need for fundamental change has become apparent as the starting point for reform. Using the state of Wisconsin’s aggressive approach to welfare reform as a model of what is administratively possible, we portray reform as an n-person iterated coordination game in order to examine potential outcomes under the larger rubric of ratinal decision-making and utility maximization. In so doing, we demonstrate that game theory offers an alternative framework for dissecting and discussing complex social issues such as welfare reform.     

A comparison of contingent valuation method and random utility model estimates of the value of avoiding reductions in king mackerel bag limits

This paper estimates the value of king mackerel bag limit changes with both stated and revealed preference methods. The 1997 Marine Recreational Fishery Statistical Survey allows estimation of the value of avoiding bag limit reductions with the random utility model and the contingent valuation method. Using the contingent valuation method, the willingness to pay to avoid a one fish reduction in the bag limit is $2.45 per year. Using the random utility model, the willingness to pay to avoid a one fish reduction in the bag limit is $2.24 per trip and $7.71 for a two-month time period. Considering several methodological issues, the difference in willingness to pay between the stated and revealed preference methods is in the expected direction.     

Individual needs and social pressure: Evidence on the Easterlin hypothesis using repeated cross-section surveys of Canadian households

This paper provides additional evidence, using time-series and cross-sectional Canadian survey data, for the Easterlin hypothesis of an important income elasticity of individual needs. Our analysis is based on the regression of a minimum income to satisfy needs equation derived from a simple utility maximization framework. Moreover, our specification allows computing the Arrow-Pratt relative risk-aversion index and the Intertemporal Rate of Substitution. Our results are robust to different estimation methods dealing with the endogenous nature of income. We also compute poverty rates using our estimated equation parameters and standard OECD measures of poverty and find that some subjective measures are relatively close to the OECD measures.     

On the structure of choice under different external references

Summary. In this paper we fully characterize an individual's choice behaviour according to three different so–called external references. The first system which we describe axiomatically is standard utility maximization or preference optimization. The second approach characterizes the choice of the second largest element as an optimal choice, the third system is the choice of a medium element, also as a first best choice. For all three approaches, we have established a common axiomatic structure which allows us to point out rather precisely congruences and divergences among the different systems considered. Received: December 12, 1997; revised version: September 15, 1998     

The Effect of Risk Context on the Value of a Statistical Life: a Bayesian Meta-model

This paper presents the first value of statistical life (VSL) meta-analysis that empirically estimates correction factors for ‘out of context’ benefits transfer (BT) purposes. In the field of mortality risk reductions elicited willingness to pay values in one risk context, say road safety, are frequently applied in other risk contexts like air pollution. However, differences in risk perception and the population at risk across contexts are likely to result in diverging VSL estimates. In a meta-analysis of 26 international stated preference studies, a Bayesian model is estimated regressing contingent values for mortality risk reductions, originating from three different risk contexts, on the characteristics of the risk reduction itself and additional variables characterizing the underlying studies. A willingness to pay (WTP) premium for mortality risk reductions in the air pollution and general mortality risk context relative to improving road safety is observed. Evaluated at the mean, road safety VSL estimates should be multiplied by a factor 1.8 before being applicable in the air pollution context. Moreover, in an illustrative BT exercise we find limited overlap in the set of context specific predictive VSL distributions. Consequently, ‘out of context’ BT results in a substantial over- or underestimation of the VSL.     

财富积累、习惯、偏好改变、不确定性与家庭消费决策

在本文中,我们建立了一个相当一般的分析家庭消费与储蓄跨期优化决策问题的理论框架。使用综合了家庭的当期消费、消费习惯、财富积累、偏好改变多种作用影响的效用函数,在家庭劳动收入具有不确定性的情况下,我们导出了家庭消费与储蓄跨期优化决策问题的闭式解,给出了家庭消费函数和欧拉方程的解析式。使用中国农村居民的住户调查数据对理论模型中导出的欧拉方程进行估计的结果表明,除了收入和家庭财富以外,消费习惯和预防性储蓄动机确实也都是影响我国农村居民家庭的消费与储蓄决策的重要因素。     

Deriving and Testing Efficient Estimates of WTP Distributions in Destination Choice Models

Estimation of welfare measures is often a dominant driver in the empirical literature on nonmarket valuation. To this end, qualitative choice models based on random utility theory have been widely employed in outdoor recreation studies. A frequent goal of applied studies has been the estimation of welfare changes associated with site attribute changes at recreation sites in order to inform regulatory policy and resource management. We review the evolution of the methodology of random utility theory in this field with a focus on taste heterogeneity models and then focus on the recent proposal of specifying utility in the WTP-space (Train K, Weeks M (2005) Discrete choice models in preference space and willing-to-pay space. In: Scarpa R, Alberini A (eds) Applications of simulation methods in environmental and resource economics, chapter 1. Springer, Dordrecht, pp 1–16). Our empirical application is on outdoor alpine recreation data. We emphasize the efficiency and direct testing that using the maximum simulated likelihood estimator affords to practitioners using the WTP-space approach, and illustrate these with examples.     

Testing Social Preferences for an Economic “Bad”: An Artefactual Field Experiment*

We test for social preferences over a commodity in an artefactual field experiment using the random price voting mechanism. Subjects are university staff members, and the commodity is water “contaminated” by a sterilized cockroach. Our results suggest that social preferences exist with respect to commodities and “bads”, supporting a more general utility framework for social preferences. Our empirical test allows for the coexistence of three social‐preference models; our results support the models of Fehr and Schmidt (1999) and Charness and Rabin (2002), but not the model of Bolton and Ockenfels (2000). Also, we find that incorporating social preferences improves the efficiency of majority‐rules voting.     

Expected consumer’s surplus as an approximate welfare measure

Except for a knife-edge case of preferences, the percentage error from using the change in expected consumer’s surplus (ECS) to approximate the willingness to pay for a change in the distribution of a random price is unbounded, in contrast to Willig’s (Am Econ Rev 66:589–597; 1976) famous approximation result for nonrandom prices. If the change is smooth on the space of random variables, and either the initial price is nonrandom or state-contingent payments are possible, then the change in ECS locally approximates the willingness to pay well. Unfortunately, this smoothness fails in some important applications. I thank Hector Chade, Glenn Ellison, Peter Hammond, Manuel Santos, seminar participants at Arizona State, Stanford and Yale and participants of the Midwest Economic Theory meetings at Indiana University and the 2004 Summer Econometric Meetings for comments.