Laboratory Testbeds and Non-Market Valuation: The Case of Bidding Behavior in a Second-Price Auction with an Outside Option

Researchers now use the lab to examine the behavioral underpinnings of valuation before the field application which some argue has less experimental control. But lab valuation work raises its own set of concerns when it uses private goods to explore non-market valuation behavior because private goods have substitutes often unaccounted for in the lab. Therefore, the lab as a tool to testbed field valuation work may be limited. Herein we design an induced valuation experiment to explore bidding behavior in a second-price auction with an outside option that is a perfect substitute for the auction commodity. Theory predicts that rational bidders will consider the prices of outside options when formulating bidding strategies, and will reduce their bids whenever their resale value exceeds the price of the outside option. Our results suggest that bidders account for outside options when formulating bids with behavior following comparative static predictions. In addition, we provide evidence concerning hypothetical versus actual behavior with induced values – the data suggesting a hypothetical bias in the level of bids but not in bid shaving.     

Self-selectivity bias with a continuous variable: potential pitfall in a common procedure

When the choice variable is continuous, selectivity bias can in principle be dealt with by a procedure first suggested by Garen (1984). However, work reported in this paper on the estimation of hedonic wage equations with compensation for dangerous jobs, where selectivity bias could arise through the endogenous choice of jobs according to their riskiness, suggests that the Garen technique may not be robust. The lack of robustness comes from collinearity, which is a result of the common situation where the empirical fit of the choice equation is moderately successful but not outstanding.     

The Worth of a Possum: Valuing Species with the Contingent Valuation Method

The focus of this paper is on methods of assessing the value peopleplace on the conservation of species for use in policy making. Of principalinterest is the relatively new methodology of contingent valuation, whichis a method for asking people directly about their preferences. The paperpresents an application of the contingent valuation method to theconservation of an endangered species in the State of Victoria, Australia.The results emphasise the importance of careful survey design,implementation and analysis as well as the precise definition of theenvironmental good being valued. Consequently, the contingent valuationmethod does provide information relevant to decision making processesbased on monetary economic considerations. Thus, in orthodox economicterms it makes sense to conserve species – but there are other moral andethical grounds for conserving species as well.     

Valuation and management of wetland ecosystems

We recently completed a study of wetland values in coastal Louisiana that employed both willingness-to-pay and energy analysis-based methodologies and were able to bracket a range of values within which we feel fairly confident the true value lies. However, a large amount of uncertainty remains. Our current estimates of the total prsent value of an average acre of natural wetlands in Louisiana are US$2429–6400 per acre (assuming an 8% discount rate) to $8977–17000 per acre (assuming a 3% discount rate). At the lowest value, the current annual rate of loss of Louisiana wetlands (50 sq miles per year) is worth about $77 million. At the largest value it is worth about $544 million.In this paper we (a) discuss the fundamental theoretical and practical problems underlying natural resources valuation; (b) summarize our methods and findings for Louisiana wetlands; and (c) elaborate on some of the more recalcitrant problems attending applied natural resource valuation, including discounting and dealing with uncertainty and imprecision.The discount rate makes more difference in the final result than any other one factor, and yet there is much disagreement about the appropriate approach to discounting natural resources. We discuss the discounting problem as applied to natural resources and argue for lower discount rates for valuing renewable natural resources than apply for other aspects of the economy.It now seems clear that no reasonable amount of effort will produce very precise estimates of wetland values, and we suspect this is also the case for several other classes of natural resources. We elaborate a Wetlands Asurance Bonding System to address these problems.     

When outcome heterogeneously matters for selection: a generalized selection correction estimator

The classical Heckman (1976, 1979) selection correction estimator (heckit) is misspecified and inconsistent, if an interaction of the outcome variable with an explanatory variable matters for selection. To address this specification problem, a full information maximum likelihood (FIML) estimator and a simple two-step estimator are developed. Monte Carlo (MC) simulations illustrate that the bias of the ordinary heckit estimator is removed by these generalized estimation procedures. Along with OLS and ordinary heckit, we apply these estimators to data from a randomized trial that evaluates the effectiveness of financial incentives for reducing obesity. Estimation results indicate that the choice of the estimation procedure clearly matters.     

Scale-perception bias in the valuation of environmental risks

The valuation of environmental risks is commonly approached with the utilization of stated preference methods such as contingent valuation. In these methods, money is utilized as the scale that reflects the individual's underlying utility function. However, this scale can vary across individuals due to different perceptions on what are the right or appropriate bounds for Willingness To Pay (WTP). In this article, we test for scale-perception bias and propose a correction method based on the utilization of anchoring vignettes that define different degrees of preference for the nonmarket good. The proposed method is applied to study the commonly found anomaly ‘probability neglect’, which is defined by the insensitivity to the probability levels in the valuation of environmental risks. The results show that probability neglect disappears when WTP responses are corrected for self-perception bias through the utilization of the anchoring vignettes approach.     

National and International Benefit Transfer Testing with a Rigorous Test Procedure

Benefit transfer, as a mean to transfer values from existing monetary valuation studies to new policy sites, has been in use for many years. This paper aims to analyze the forecasting quality of benefit transfer by applying a rigoroust-test – also referred to as Accuracy-t-test – that takes into account testing errors which were made in previous surveys. Beside the analysis of national benefit transfers based on two German contingent valuation studies additional efforts were made to investigate into the validity and accuracy of international benefit transfer by considering two Norwegian studies that employed a similar survey design.     

Preference Structures, Property Rights, and Paired Comparisons

The method of paired comparisons was used to determine the structure of survey participants' value expressions for Australian native forests. The same participants were also surveyed using the contingent valuation method (CVM). Data from the paired comparisons were used to construct preference maps which enabled identification of participants whose value expressions were structurally incompatible with economic welfare theory – in particular, those participants who expressed their values according to lexicographic preferences. For some of these participants, CVM results did not provide appropriate measures of WTP. The surveys also demonstrated the importance of allowing participants' own views on property rights to dictate the valuation context offered.     

The impact of collinearity on regression analysis: the asymmetric effect of negative and positive correlations

The purpose of this paper is to ascertain how collinearity in general, and the sign of correlations in specific, affect parameter inference, variable omission bias, and their diagnostic indices in regression. It is found that collinearity can reduce parameter variance estimates and that positive and negative correlation structures have an asymmetric effect on variable omission bias. It is also shown that the effects of collinearity are moderated by the relationship between the dependent variable and the regressors, a consideration not incorporated into most commonly used collinearity diagnostics. The formulae derived enable researchers to assess the sensitivity of regression results to the underlying correlation structure in the data.     

Statistical considerations in the fitting of growth curves

In long range trend projection, one of the most frequently used models is the “S”-shaped growth curve originally suggested by Pearl and Reed. Because of the nonlinear form of this model, problems exist in the statistical evaluation of model fit and in estimating the precision of forecasts developed from the model. Based on an approach first suggested by Yule, a procedure for fitting and evaluating the Pearl–Reed curve is developed. Confidence intervals for parameters and forecast prediction intervals are presented.     

IMPACT OF PRICING STRUCTURE SELECTIVITY ON URBAN WATER DEMAND

Interest in demand management policies has intensified as residential water demand has grown in the United States. Using data from the 1984 American Water Works Association (AWWA) survey, the study here provides an empirical analysis of the differences in price elasticities of demand across water pricing block structures and examines these structures' "conservation-orientedness." However, a potential sample selection bias exists. That is, in cities where people are more interested in conservation, utility managers may be more likely to select a rate structure that they believe is conservation-oriented–an increasing block structure, for example. Managers' selectivity bias may cause research results either to understate or to overstate a particular block structure's impact on water conservation. The analysis here corrects for this selectivity bias in estimating water demand and tests whether consumers respond to average prices or to marginal prices. Correcting for selectivity bias involves an explicit analysis of the factors that influence utility managers' selection of rate structures. Estimating water demand under increasing and decreasing block structures suggests that sample selection bias remains a problem worthy of further investigation.     

Econometrics and inconsistencies in the national accounts

Economic data are typically inconsistent with national accounting identities, contain measurement errors and are sometimes unavailable. A generalized conditioned least square procedure for the adjustment of data is proposed to deal with these problems. It is shown how the resulting data may be used for FIML estimation of the parameters of dynamic models (and the data themselves) with the aid of the Kalman-Bucy filter. An illustrative application of the proposed techniques to UK data is reported.     

Efficient mechanisms for bilateral trading

We consider bargaining problems between one buyer and one seller for a single object. The seller's valuation and the buyer's valuation for the object are assumed to be independent random variables, and each individual's valuation is unknown to the other. We characterize the set of allocation mechanisms that are Bayesian incentive compatible and individually rational, and show the general impossibility of ex post efficient mechanisms without outside subsidies. For a wide class of problems we show how to compute mechanisms that maximize expected total gains from trade, and mechanisms that can maximize a broker's expected profit.     

Local financial benefits of rain forests: comparative evidence from Amerindian societies in Bolivia and Honduras

Researchers generally express the local value of tropical rain forests in dollars/ha/year. The approach is problematic because it produces low values to local users, underestimating the importance of the forest expressed as a share of household consumption or earnings. Here we contribute to valuation studies of rain forests by estimating the financial importance of the forest measured in three ways: (1) the contribution of forests to annual household consumption and (2) earnings; and (3) the value of a hectare of rain forest to villagers measured through the biological goods consumed and sold. We collected panel data on consumption and earnings from 81 households in four villages of two Amerindian societies in two nations (Tsimane’, Bolivia; Tawahka, Honduras). Analyses suggest: (1) forests account for a large share of household consumption (median 38.5%; range 14.65–53.11%); (2) forests contribute more to household consumption than to household earnings (median 22.69%; range 16.56–44.81%); (3) the relative contribution of forests to household consumption and earnings falls among villages closer to towns; and (4) the range of values/year of rain forest/ha is US$7.10–9.70 using 1999 dollars or US$18.46–46.56 using purchasing power parity indexes, below previous estimates. Results show much variation in forest values; valuation methods and stakeholder perspectives affect the variation. Given the variation, a useful strategy to promote forest conservation would transfer income to villagers to compensate them for non-local forest values.     

Correcting for selectivity bias in the estimation of road crash costs

Police road crash data comprise a non-random sample of the true population of road crashes, the bias being due to the existence of crashes that are not notified to the Police. Heckman viewed similar problems as ‘omitted variables’ problems in that the exclusion of some observations in a systematic manner (so-called selectivity bias) has inadvertently introduced the need for an additional regressor in least squares procedures. In the case of Police road crash data, selectivity bias arises from factors affecting the notification of crashes to the Police, such as the number of vehicles in the crash and the type and location of the crash. Using Heckman's methodology for correcting for this selectivity bias, Police road crash data for Western Australia are reconciled with total road crash data in the estimation of the property damage costs of road crashes.     

Valuing Air Quality in Poland

In this study we estimate how much Polish citizens would be willing to pay to harmonize Polish air pollution standards with EU standards. We conduct a contingent valuation of all damage components using a system of dichotomous choice questions. This system approach helps to avoid embedding problem and to identify protest voters. We compare estimates from a set of single logit models with a generalized estimating equations (GEE) model, which provides more parsimonious and efficient estimates. Although, health remains very important, our respondents valued mortality less than the literature but morbidity much more. Damages to ecosystems and cultural heritage compose 13–16% of the total value and their omission by the literature seriously underestimates total benefits. Overall, the results suggest that Poland values the benefits of pollution control much less than the wealthier EU suggesting harmonization should be postponed and conditioned on economic prosperity.P28, Q51, Q53 standard harmonization, system valuation     

Weak monotonicity and Bayes–Nash incentive compatibility

An allocation rule is called Bayes–Nash incentive compatible, if there exists a payment rule, such that truthful reports of agents' types form a Bayes–Nash equilibrium in the direct revelation mechanism consisting of the allocation rule and the payment rule. This paper provides a characterization of Bayes–Nash incentive compatible allocation rules in social choice settings where agents have multi-dimensional types, quasi-linear utility functions and interdependent valuations. The characterization is derived by constructing complete directed graphs on agents' type spaces with cost of manipulation as lengths of edges. Weak monotonicity of the allocation rule corresponds to the condition that all 2-cycles in these graphs have non-negative length. For the case that type spaces are convex and the valuation for each outcome is a linear function in the agent's type, we show that weak monotonicity of the allocation rule together with an integrability condition is a necessary and sufficient condition for Bayes–Nash incentive compatibility.     

Bargaining with a possibly committed seller

We consider negotiations with an open time horizon where a buyer has private information about his valuation and does not know whether the seller is committed to the advertised price. This setting combines two common specifications made in the non-cooperative bargaining literature: one side is privately informed about its valuation, which is drawn from a continuum, and the other side is possibly committed to a fixed offer. We analyze the game both in discrete and in continuous time and show convergence of the two settings, which extends results from Abreu and Gul [2000. Bargaining and reputation. Econometrica 68, 85–117]. One interesting result is that as time proceeds, the non-committed seller becomes less likely to concede in a given period, i.e., it appears as if he becomes more “stubborn.” We further show that a seller may prefer to negotiate with a “worse” buyer as this enhances the value of his possible commitment.     

Technological forecasting and assessment: Science and/or mythology?

A number of radically distinct models (inquiry systems) are described. The models derive from C, West Churchman's recent characterization of the history of Western epistemology. It is argued that only a few of these models are appropriate for technological forecasting problems. Most technological forecasting methodologies rest on a dubious philosophical foundation. They unreflectively assume that the inquiry systems which are appropriate for “well-structured” problems are also appropriate for “ill structured” problems. It is argued that technological forecasting is an inherently ill-structured problem and therefore requires a methodology which is uniquely suited to such problems. The Dialectical and Singerian Inquiring Systems are proposed as particularly appropriate for ill-structured problems.     

Measuring Passive Use Value: Pledges, Donations and CV Responses in Connection with an Important Natural Resource

This paper examines monetary valuations of lost passive-use benefits associated with damage to a unique environmental resource – a national park, elicited through contingent valuation, and compares them with actual donations to the same end, where the latter are interpreted as a quasi-market expression of willingness to pay for non-market resource services. The relationships between the two valuation approaches were investigated in the specific context of an environmental episode which damaged a unique natural endowment, Israel's Carmel National Park. The empirical analysis is based on data from two sample surveys; one sample was drawn from the population of people who either pledged or pledged and donated during a fund-raising campaign following the episode, with the proceeds dedicated to rehabilitation or prevention of future episodes; the second sample was drawn from the general population of the country. The results cannot be interpreted as providing unqualified support for the reliability of contingent valuation as a means for obtaining passive use values.