substitution in the electric power industry an interregional comparison in the eastern us abstract the electric power industry is restructuring as regulations move from states to regional and national levels estimates of regional fuel and input substitution are essential for practitioners and policy makers this paper estimates substitution under static and dynamic scenarios examining changes in technology and total factor productivity from 2001 to 2008 two stage estimation reveals regional characteristics and underlying elements in fuel and factor choice processes substitution varies widely depending on the region coal technology capital investment and r d activities

models for referendum data the structure of discrete choice models for contingent valuation abstract in 1979 bishop and heberlein introduced an appealing variant of the contingent valuation method which required only yes or no responses hanemann developed a utility theoretic interpretation of the yes no responses which has helped popularize the approach recently cameron has offered another interpretation also utility theoretic which she argues is more general than the hanemann random utility model this paper compares the deterministic models suggested by hanemann and cameron showing them to be dual to each other it shows that correct specification of either function must exclude endogenous variables such as quantity demanded it also demonstrates that using utility theoretic models allows one to compare travel cost models and contigent valuation models on the basis of their implied behavior not on the unobservable surplus or variation measure

elicitation and truncation effects in contingent valuation studies comment abstract this comment reviews some of the findings of bateman et al 1995 which appear to have simplified the choice between alternative benefit measures with dichotomous choice contingent valuation errors in the bateman et al analysis are identified and corrected results are used to review the conclusions

optimal capacity expansion over an infinite horizon the problem of choosing an optimal initial capacity expansion from a finite number of durable facility sizes is affected by potential future expansion decisions as we consider such expansions over longer and longer study horizons the optimal initial facility choice can fluctuate due to end of study effects we discuss an algorithm that will determine for arbitrary deterministic demand profiles how long a horizon is sufficient to reach stability in the first facility choice moreover it is shown that this first choice is the optimal first choice for the infinite horizon problem we also establish an explicit analytical formula for a study horizon guaranteed to provide a first facility size that followed by an infinite horizon expansion strategy will attain a discounted cost within a predetermined maximal error of the optimal infinite horizon cost

semi nonparametric distribution free dichotomous choice contingent valuation abstract we apply a semi nonparametric distribution free estimator for binary discrete response data to the estimation of a dichotomous choice contingent valuation model using this estimator mean and median compensating and equivalent variation can be consistently estimated without making nontheoretically motivated assumptions on consumer preferences the approach is illustrated using a contingent valuation survey of willingness to pay for reduction of risk of premature death due to exposure to hazardous waste we find that a conventional parametric estimator and the proposed estimator give similar estimates of unconditional wtp but that conditional on explanatory variables the estimates are quite different

valuing morbidity from wildfire smoke exposure a comparison of revealed and stated preference techniques estimating the economic benefits of reduced health damages due to improvements in environmental quality continues to challenge economists we review welfare measures associated with reduced wildfire smoke exposure and a unique dataset from california s station fire of 2009 allows for a comparison of cost of illness coi estimates with willingness to pay wtp measures the wtp for one less symptom day is estimated to be 87 and 95 using the defensive behavior and contingent valuation methods respectively these wtp estimates are not statistically different but do differ from a 3 traditional daily coi estimate and 17 comprehensive daily coi estimate jel q51 q53

estimating the public good value of preserving a local historic landmark the role of non substitutability and citizen information this study applies stated preference methods to estimate the public good values of preservation and restoration of a local historic landmark in a medium sized us city the survey device centres on

rural amenity values and length of residency new residents of rural communities are often assumed to have preferences for development and conservation that differ from those of longer term residents however the literature offers little to quantify presumed preference heterogeneity this article assesses whether stated preferences differ according to length of residency results are based on a conjoint choice experiment survey of rhode island rural residents heterogeneity according to length of town residency is modeled using dummy variables multiplicative interactions and lagrangian interpolation polynomials results are compared across the three models and identify a range of attributes for which willingness to pay depends on length of residency

study on benefit transfer in an international setting how to improve welfare estimates in the case of the countries income heterogeneity abstract the paper aims at investigating the validity of benefit transfer in the case of transfers between countries highly heterogeneous in income and demonstrates relative performance of different benefit transfer methods under these conditions lake water quality valuation studies were conducted in two countries in transition poland and the czech republic they reflected two earlier studies carried out in norway we examine how income elasticity of wtp varies with the levels of income and find support for applying the income elasticity of 1 to adjust transferred welfare estimates in case of high differences in income between countries in addition we show that using site specific measures of income outperforms transfers based on gpd per capita the accuracy of benefit transfer is compared using equivalence testing following the tosc two one sided convolutions test a new more informative way of reporting equivalence is proposed based on computing minimum tolerance level rather than specifying it a priori

treatment of don t know responses in contingent valuation surveys a random valuation model abstract this paper provides a utility theoretic interpretation of don t know dk responses in contingent valuation surveys using a referendum elicitation procedure the random valuation model in this paper assumes that each respondent of a contingent valuation survey has an implicit valuation distribution rather than a single true value as traditionally assumed in his her mind if an offered referendum bid is not clearly different from the mean value of one s valuation distribution the respondent may give a dk answer to the cv referendum question based on this model a maximum likelihood procedure is proposed for estimating respondents willingness to pay for a nonmarket good with referendum contingent valuation data which include dk responses an empirical illustration of this estimation procedure is also provided

do reminders of substitutes and budget constraints influence contingent valuation estimates a test is performed of the recommendation by the noaa panel on contingent valuation that respondents be reminded about other substitute resources and their budget constraint prior to answering the willingness to pay wtp question the context for this experiment is a cvm study of the benefits from reducing fire hazards to old growth forests in oregon the test was performed using two mail surveys that were otherwise identical except for the inclusion of reminder statements prior to the wtp question the dichotomous choice logit equations were not statistically different between versions and the mean wtp results were identical

local identification and valuation of ecosystem goods and services from opuntia scrublands of ayacucho peru abstract opuntia scrublands are important ecological economic systems in the andean area they perform a major role protecting slopes against erosion improving the soil properties and providing a variety of products employed in the human diet and in animal feeding as well as cochineal insects a highly valued source of dyes the collection of the insects has represented an important economic activity for the local communities since pre columbian times current peruvian production represents between 85 and 90 of the global market and is mainly based on collection of the insect in natural opuntia scrublands located in the poorest andean areas of ayacucho although much is known about the financial benefits of cochineal for exporters and dye manufacturers information about the value of standing opuntia scrubs to collectors and the relative contribution of opuntia scrubs to their household economies is scarce here we contribute to the estimation of the use value of opuntia scrublands to local communities in ayacucho by initially exploring the cultural domain of opuntia in order to identify the ecosystem goods and services recognized by peasants and later presenting empirical estimates of their importance to annual household income

a comparison of willingness to pay estimation techniques from referendum questions referendum style willingness to pay questions have been used to estimatepassive use values this referendum question format method may beproblematic for many reasons including the statistical techniques used toestimate willingness to pay from discrete responses this paper comparesa number of parametric semi nonparametric and nonparametric estimationtechniques using data collected from us households regarding federalprotection of endangered fish species the advantages and disadvantagesof the various statistical models used are explored a hypothesis test forstatistical equality among estimation techniques is performed using ajackknife bootstrapping method when the equality test is applied themodeling techniques do show significant differences in some possiblecomparisons but only those that are nonparamentric this can lead toconflicting interpretations of what the data show resource managers andpolicy analysts need to use caution when interpreting results until anindustry standard can be developed for estimating willingness to pay fromclosed ended questions

can contingent valuation distinguish economic values for oifferent public goods this paper reports the first test eval uating whether stated choices as part of a contin gent valuation survey discriminate between signifi cant and trivial causes using a random digit dialed sample for north carolina two different plans were posed to respondents one to expand a popular north carolina highway flower planting program nationwide and a second to facilitate the use of recycled tires in making asphalt for highways ran dom assignment identical payment mechanisms and overall question designs were used the results indicate clear discrimination in choices choice functions and the estimated willingness to pay for the two plans jel q26 d71

specification of the logit model the case of valuation of nonmarket goods abstract we address the proper specification of the logit model for estimation of nonmarket commodity demand economic theory is used to show the conditions which must be met by the logit functional form if it is to yield valid estimates of welfare change measures and demand relationships an empirical example is used to illustrate the argument recreational boating data were collected using the contingent valuation method cvm in texas in one instance the demand curve is positively sloped due to the specific functional form chosen the estimated demand curve for the theoretically preferred functional form has the expected negative slope

interval estimates of non market resource values from referendum contingent valuation surveys contingent valuation methods cvm have attracted considerable attention in recent years as researchers have begun to resort to survey methods to elicit individual values for non market goods such as environmental resources or public goods cummings brookshire and schulze 1986 and mitchell and carson 1989 offer comprehensive assessments of these methods cvm survey questions come in a variety of forms one format which has proven to be popular is called the discrete choice or take it or leave it referendum or closedended question originally implemented in the literature by bishop and heberlein 1979 since respondents find it very difficult to identify precisely their true point value of access to some resource or public good open ended valuation questions can be unreliable or can discourage response in contrast most people are familiar with being confronted by a posted price for a good and with deciding whether or not they would buy at that price this is the strategy behind discrete choice cvm questions a different hypothetical price is offered to each respondent and by their yes no response to the question of whether they would be willing to pay this price the researcher gains information about their true underlying point value one persistent difficulty with the econometric techniques that are currently used most widely to analyze referendum contingent valuation data is the absence of confidence intervals for the ultimate value estimates early empirical applications approximate mean valuations using a truncated mean based on a logit model with the upper limit being the highest bid value in the sample unfortunately the variance of this estimated mean cannot easily be recovered from the numerical integration procedure commonly used to calculate the

using labels to investigate scope effects in stated preference methods insufficient sensitivity to scope variations in the scale of the environmental good on offer remains a major criticism of stated preference methods and many studies fail a scope test of some sort across a range of existing explanations for insensitivity to scope commodity mis specification embedding warm glows there seems to exist no clear conclusion on how to deal with the problem this paper provides an alternative explanation for insufficient sensitivity to scope based on re definition of the determinants of value for environmental goods within an attributes based choice model in the proposed framework respondents willingness to pay need depend not only on physical characteristics of a good but may also depend on the label under which the environmental good is sold in the hypothetical market to investigate this problem a choice experiment study of biodiversity was conducted we find that controlling for the effects of a label in this case national park designation leads to significant increase in the scope sensitivity of welfare measures

a satisfactory benefit cost indicator from contingent valuation abstract standard economic concepts are used to develop a model of individual behavior when subject to the constraints of the contingent valuation choice context the model yields refutable consequences that are consistent with previously reported empirical findings including some that have been thought to be anomalous the model is used to show that different contingent valuation formats have predictably different performance characteristics notably the hicksian compensating measures are satisfactory benefit cost indicators when elicited using any one of several formats identified in the text of the formats examined one form of a policy referendum appears to have the most satisfactory characteristics overall we conclude that contingent valuation is a progressing research program

testing preference formation in learning design contingent valuation using advance information and repetitive treatments policymakers have largely replaced single bounded discrete choice valuation by the more statistically efficient repetitive method double bounded discrete choice and discrete choice experiments repetitive valuation permits classification into rational and irrational preferences 1 a priori well formed 2 consistent nonarbitrary values discovered through repetition and experience 3 consistent but arbitrary values as shaped by preceding bid level and 4 inconsistent and arbitrary values policy valuations should demonstrate behaviorally rational preferences we outline novel methods for testing this in double bounded discrete choice experiments applied to renewable energy premiums in chile

environmental regulations and productivity growth the case of fossil fueled electric power generation this paper measures and analyzes the effect of sulfur dioxide emission restrictions on the rate of productivity growth in the electric power industry over the 1973 79 business cycle a firm specific measure of regulatory intensity is developed which depends on the severity of the emission standard the extent of enforcement and the unconstrained emission rate relevant to each utility the results indicate that emission regulations result in significantly higher generating costs primarily from the increased use of low sulfur fuels the average rate of productivity growth was reduced by 0 59 percentage points per year for constrained utilities

are oil shocks permanent or temporary panel data evidence from crude oil and ngl production in 60 countries this paper examines the unit root properties of crude oil production for 60 countries employing a range of panel data unit root tests for the period 1971 to 2003 the study first employs a number of panel data tests that do not accommodate structural breaks and then proceeds to apply the lagrange multiplier lm panel unit root test with one structural break the results of the panel data tests without a structural break are inconclusive with at best mixed support for joint stationarity the findings from the lm panel unit root test with a structural break however are conclusive suggesting that for a world panel and smaller regional based panels crude oil and ngl production are jointly stationary

forecast frequency in rolling horizon hedging heuristics for capacity expansion this paper describes a simulation study of the effect of forecast revisions and hedges against demand uncertainty in a rolling horizon heuristic for capacity expansion the model is based on data collected in the utilities division of a large chemical manufacturing plant a seasonal integrated moving average model for the demand is used to generate forecasts while capacity additions are determined by applying a simple timing rule to various hedges around the forecast the simulation results indicate that hedging forecasts by their prediction limits rather than a fixed buffer significantly reduces undercapacity at the expense of a small increase in capacity cost the prediction limit hedge is more robust to delays in reforecasting

confidence intervals for evaluating benefits estimates from dichotomous choice contingent valuation studies i evaluate the potential usefulness of nonmarket valuation concepts and techniques from environmental economics for improving wildlife conservation the concepts include distinguishing between on site recreation use value and off site passive use or

alternative approaches for incorporating respondent uncertainty when estimating willingness to pay the case of the mexican spotted owl abstract this paper explores the sources and patterns of respondents uncertainty regarding their willingness to pay wtp and presents alternative approaches for incorporating this uncertainty into estimation of the logit model recently proposed approaches are compared to methods proposed in this paper which allows for incorporation of uncertainty regarding both yes and no responses these approaches are evaluated by comparing the goodness of fit and variability of mean wtp extreme recoding of uncertain yes responses as no responses reduces the logit goodness of fit and the precision of the wtp estimate incorporating the degree of uncertainty of yes responses results in the highest goodness of fit and the smallest variability of mean wtp among the various models addressing uncertainty a regression model is used to determine the significant determinants of respondent uncertainty

can the electricity market be characterised by asymmetric behaviour in this paper we test for asymmetric behaviour of industrial and residential electricity demand for the g7 countries using the entropy based test for symmetry suggested by racine j and maasoumi e 2007 a versatile and robust metric entropy test of time reversibility and other hypotheses journal of econometrics 138 2 547 567 racine j and maasoumi e 2008 a robust entropy based test of asymmetry for discrete and continuous processes econometric reviews 28 246 261 the triples test of randles r flinger m policello g and wolfe d 1980 an asymptotically distribution free test for symmetry versus asymmetry journal of the american statistical association 75 168 172 and the bai j and ng s 2001 a consistent test for conditional symmetry in time series models journal of econometrics 103 225 258 test for conditional symmetry using data that spans over three decades we find overwhelming evidence of conditional symmetry of residential and industrial electricity consumption this finding implies that the use of econometric tests based on linear data generating processes is credible

electric utilities fuel use and responsiveness to fuel prices this research tests the impact of changes in fuel price to explain fuel use by electric utilities we employ a three stage least squares model that explains changes in fuel use as a function of changes in three fuel prices this model is repeated across sub samples of data aggregated at the plant level and operating holding company level we expect that plants and holding companies reduce fuel use when fuel prices rise several fuel substitution effects within and across plants and holding companies are demonstrated as well as several frictions at the plant level higher prices of natural gas lead to less natural gas consumption less coal consumption and more fuel oil consumption at the operating holding company level results demonstrate the inelasticity of coal use and the increases of natural gas in response to higher coal prices subsamples demonstrate heterogeneity of results across different plants results emphasize that technological market and regulatory frictions may hinder the performance of energy policies

choice modeling and tests of benefit transfer choice modelling cm is a stated preference technique that is increasingly being used to generate estimates of non market values in cm applications respondents to a survey are presented with several sets of options which contain common attributes but at varying levels and are asked to select their preferred alternative from each set the information provided by respondents choices is used to estimate marginal rates of substitution and hence estimates of value in this paper the results from three separate cm applications are presented estimates are made of the value of improving the quality of wetlands the first two applications focused on the gwydir wetlands in new south wales australia one survey was conducted in sydney a major urban centre and the second was conducted in moree a rural centre close to the gwydir wetlands the third survey which was also conducted in sydney focused on the macquarie marshes another wetland in new south wales an objective of the study was to test the suitability of using cm derived estimates for benefit transfer both across different populations and across different wetlands cm is potentially suited to benefit transfer because it is possible to allow for differences in environmental improvements between sites as well as differences in socio economic characteristics between respondent populations several tests aimed at determining the validity of transfers using cm across sites and populations are presented these include tests of the equality of models implicit prices and estimates of compensating surplus

fat tails and truncated bids in contingent valuation an application to an endangered shorebird species a yes response function in a contingent valuation study is said to have fat tails if it has a high and slowly declining yes response rate at high bid levels truncated bids refer to the practice of dropping high bid offers before a yes response rate of near zero is reached this is a common practice in contingent valuation we explore the extent and implications of fat tails and truncated bids in a study of an endangered shorebird species we find among other things that mean willingness to pay is quite sensitive to the highest bid offered so much so that the choice of highest bid nearly dictates outcomes

comparative analysis of non market valuation techniques for the eduardo avaroa reserve bolivia abstract ecological tourism has held up as a potentially important development alternative in relatively undeveloped regions and countries however tourism is a highly vulnerable activity where tourists display voluntary and discretionary behavior while tourism can serve as an income generating activity for the region uncontrolled tourism that is developed without consideration of the environmental impact can adversely affect the natural areas determining what to charge tourists to view a natural area is difficult since demand elasticities are not readily available from observable transactions in order to better gauge the value tourists place on the reserve and their sensitivity to changes in the costs of visiting eduardo avaroa non market valuation provides several valuable tools here we test the convergent validity between two popular non market valuation alternatives the contingent valuation method and the contingent behavior method tourists to the eduardo avaroa reserve in bolivia were asked their willingness to pay in visitor days or in dollars due to an improvement in tourism services at the reserve our models show that the traditionally important variables predict willingness to pay for improved services for the contingent behavior contingent valuation and the pooled model however we find statistically and empirically meaningful distinctions in the estimates derived from the two methods comparisons of the implications of adopting the entrance fee recommendations from the two non market valuation techniques are made based on the revenues predicted to accrue to eduardo avaroa reserve if park management techniques were improved this research highlights the challenges in using non market valuation techniques for policy formation particularly in a developing country setting

actual averting expenditure versus stated willingness to pay the purpose of this study is to perform a complete comparison of actual averting expenditure and stated willingness to pay measures and to determine if the averting expenditure is a lower bound of the willingness to pay measured from contingent valuation experiment as suggested by literature in addition to the single value comparison bootstrap krinsky and robb jackknife and cameron are four simulation methods used to calculate confidence intervals for response function sample sizes of 100 200 and 1000 are simulated 100 and 200 times respectively a set of data with 540 households from a contingent policy referendum survey is employed for our purpose under a specific level of bod improvement a one to one single mean value comparison of the actual averting expenditure is greater than the mean willingness to pay from utility difference model the empirical results are consistent with the theoretical expectation for expenditure difference that averting expenditure is a lower bound of willingness to

simultaneous capacity and production management of short life cycle produce to stock goods under stochastic demand this paper derives the optimal simultaneous capacity and production plan for a shortlife cycle produce to stock good under stochastic demand capacity can be reduced as well as added at exogenously set unit prices in both cases studied with and without carryover of unsold units a target interval policy is optimal there is a usually different target interval for each period such that capacity should be changed as little as possible to bring the level available into that interval our contribution in the case of no carry over is a detailed characterization of the target intervals assuming demands increase stochastically at the beginning of the life cycle and decrease thereafter in the case of carry over we establish the general result and show that capacity and inventory are economic substitutes the target intervals decrease in the initial stock level and the optimal unconstrained base stock level decreases in the capacity level in both cases optimal service rates are not necessarily constant over time a numerical example illustrates the results

the public value of improving a weather forecasting system in korea a choice experiment study abstractthe korean government plans to improve the quality of its weather forecasting system in order to increase its public utility the benefits arising from the implementation of this plan shoul

language related differences in a contingent valuation study english versus spanish to test the similarity of english and spanish speaking households responses to a contingent valuation survey phone interviews were conducted in both languages regarding two forest fire prevention programs while there were similar response rates there were significant differences in the most frequent reasons given for refusing to pay in the pooled logit model the language intercept and bid interaction variables were insignificant in both programs the likelihood ratio test of separate logit equations showed no statistical difference between english and spanish speaking households responses to either program mean benefits reported by spanish speaking households were about one third lower than english speaking households although the difference is not statistically significant according to the 1990 census more than 32 million adults in the united states speak a language other than english in their home and these multiracial populations are growing faster than the english speaking population in many states according the bureau of census from 1990 to 1999 the hispanic population grew by 39 in the united states in states such as arizona california florida and texas hispanics are a large and rapidly growing segment of the population many in the hispanic population either do not speak english or are more fluent in spanish than in english executive order 12898 by president clinton requires federal agencies to evaluate environmental justice of federal actions on minority populations under this executive order policy makers are charged with the daunting

transactions costs and agricultural household supply response we develop and estimate a model of supply response when transactions costs create a situation where some producers buy others sell and others do not participate in markets we present two rationales for why producing households may have different relationships to the market proportional and fixed transactions costs using data on mexican corn producers we estimate an empirical model that allows for separate tests of the significance of both types of transactions costs revealing that both fixed and proportional transactions costs matter for the estimation the results provide consistent estimates of supply elasticity and measures of the relative importance of factors determining both proportional and fixed transactions costs

distribution free estimation with interval censored contingent valuation data troubles with turnbull contingent valuation cv surveys frequently employ elicitation procedures that return interval censored data on respondents willingness to pay wtp almost without exception cv practitioners have applied turnbull s self consistent algorithm to such data in order to obtain nonparametric maximum likelihood npml estimates of the wtp distribution this paper documents two failings of turnbull s algorithm 1 that it may not converge to npml estimates and 2 that it may be very slow to converge with regards to 1 we propose starting and stopping criteria for the algorithm that guarantee convergence to the npml estimates with regards to 2 we present a variety of alternative estimators and demonstrate through monte carlo simulations their performance advantages over turnbull s algorithm

fuel switching and climate and energy policies in the european power generation sector a generalized leontief model abstract the purpose of this paper is to analyze a the role and the nature of price induced switching behavior between fossil fuels i e coal oil and natural gas in the western european power sector as well as b the fuel choice impacts of a number of public policies implemented in this sector during the last 20 years the analysis is conducted within a generalized leontief cost function framework and employs pooled data across eight countries over the time period 1978 2004 we present short run own and cross price elasticities of fossil fuel demand and assess the impacts of a set of government policies implemented over this time period the empirical results show evidence of notable short run interfuel substitution between oil and gas and particularly in countries where fossil fuels are used extensively for both base and peak load purposes these findings support the notion that ex post fossil fuel substitution takes place in dual and multi fired plants by switching load between different single fuel fired plants as well as through the conversion of power plants to be able to burn alternate fuels the results also illustrate that different public policies i e removal of coal subsidies electricity market liberalization etc have had profound impacts on fossil fuel choices and have in particular favored power generation gas use at the expense of coal finally the paper makes use of the empirical results to simulate the fuel switching impacts of different carbon prices within the european emissions trading scheme eu ets

a pooled dynamic analysis of interfuel substitution in industrial energy demand by the g 7 countries a dynamic version of considine s 1990 linear logit model is used to obtain theoretically consistent estimates of long run price elasticities from pooled intercountry data on industrial energy consumption this model also provides a rare direct estimate of the important rate of dynamic adjustment revealing a median lag of ten years the long run demands for oil and coal are the most elastic and the strongest channels for interfuel substitution are between oil and natural gas with no significant evidence of complementarity between fuels

firing the furnace an econometric analysis of utilities fuel choice abstract this paper attempts to estimate how the fuel mix of german electricity producers does react to fuel price changes the empirical analysis is based on panel data 1968 1998 of major utilities two different aspects of fuel choice are distinguished at the one hand the construction of usually fuel specific capacities for electric power generation i e investment decisions that determine the fuel mix in the long run at the other fuel use conditional on existing generation capacities i e short run inter fuel substitution according to the results from panel unit root tests both the econometric models which describe these two aspects are specified in changes rather than levels the partly discrete nature of investment decisions is taken into account by constructing a discrete model of capacity adjustment our estimation results suggest that the fuel mix of electric utilities is price inelastic either if long term investment or short term inter fuel substitution is considered finally the empirical results are used to predict the potential impacts of co 2 emissions trading on fuel choice in the german electric power industry

economic investment times for capacity expansion problems abstract a simple rule for the determination of the optimal investment time for a capacity expansion problem is provided based on a general class of stochastic demand processes of practical interest the timing rule is shown to be independent of the descriptive characteristics of the demand process and thus can be considered to be robust in nature

reconsidering the use of hicks neutrality to recover total value abstract in this paper i reconsider the use of hicks neutrality for recovering total value for a change in an environmental good i clarify the need to adjust expenditures and explain how numerical techniques can be used in approximating these adjustments i show that the circumstance believed to support hicks neutrality weak neutrality at the choke price vector is a case of weak complementarity i mathematically demonstrate that the necessary degree of hicks neutrality is unlikely to be satisfied i derive the ensuing relative bias and show its usefulness in selecting goods which may approach hicks neutrality

capacity expansion for random exponential demand growth with lead times the combination of demand uncertainty and a lead time for adding capacity creates the risk of capacity shortage during the lead time we formulate a model of capacity expansion for uncertain exponential demand growth and deterministic expansion lead times when there is an obligation to provide a specified level of service the service level defined in terms of the ratio of expected lead time shortage to installed capacity is guaranteed by timing each expansion to begin when demand reaches a fixed proportion of the capacity position under this timing rule the optimal facilities to install can be determined by solving an equivalent deterministic problem without lead times numerical results show the effects of the demand parameters and lead time length on the expansion timing the interaction of timing with expansion size is explored for the case when continuous facility sizes are available with economies of scale

the effect of common sources of regression error on benefit estimates discussions of the sources of error in recreation demand analysis are common in the existing literature the most traditional line of thought e g gum and martin considers the error component in predicting the individual s recreation behavior to arise from unmeasured socioeconomic factors others e g hanemann attribute at least some of this error to fundamental randomness in human behavior applied statisticians e g hiett and worrall on the other hand suggest that recall of annual number of recreational trips i e the quantity demanded is subject to substantial error still others e g brown et al have argued that recall of explanatory variables such as travel expenses contains error despite the discussion of potential error sources there is no work which relates the sources of error in the demand relationship with benefit measurement 1 of practical importance in recreational demand estimation is whether error assumptions have an influence on welfare measures since it is for public policy decision purposes that recreational demand estimation is usually undertaken will the estimated consumer surplus derived from demand analysis be independent of the assumed source of the error in the regression the purpose of this paper is to explore how the assumptions about sources of error influence estimates of recreation benefits a discussion of the various sources of error in de

relating environmental attitudes and contingent values how robust are methods for identifying preference heterogeneity we assess the importance and robustness of cluster analysis and latent class analysis as methods to account for unobserved heterogeneity we provide a critique and comparison of both methods in the context of measuring environmental attitudes and a contingent valuation study involving endangered species we find strong evidence of robustness for these methods group characterization and assignment of individuals to groups are similar between methods and willingness to pay estimates are consistent in addition there are significant differences in willingness to pay across environmental attitudinal groups and we find that accounting for unobservable heterogeneity provides a significantly better fitting model

paired comparison estimates of willingness to accept versus contingent valuation estimates of willingness to pay estimating empirical measures of an individual s willingness to accept that are consistent with conventional economic theory has proven difficult the method of paired comparison offers a promising approach to estimate willingness to accept this method involves having individuals make binary choices between receiving a particular good or a sum of money willingness to accept can be inferred from the ranking of dollar amounts and the good of interest using the paired comparison approach mean median willingness to accept for a private good is estimated at 59 52 contingent valuation estimate of willingness to pay for the same good yields a mean median of 28 28 while these estimates are statistically different the ratio of willingness to accept to willingness to pay is less than in most previous studies and closer to ratios found in actual cash experiments

contingent valuation and social choice the contingent valuation method for estimating the existence value of natural resources is examined for psychophysical robustness statistical reliability and economic sensibility extensions of standard models for willingness to pay and suitable econometric techniques for analyzing these models are developed the analysis is applied to a series of experiments on the value of preserving wilderness areas in the western united states the results call into question the reliability of the cv method for estimating existence values

capacity expansion under stochastic demands we consider the problem of optimally meeting a stochastically growing demand for capacity over an infinite horizon under the assumption that demand for product follows either a nonlinear brownian motion or a non markovian birth and death process we show that this stochastic problem can be transformed into an equivalent deterministic problem consistent with earlier work by a manne the equivalent problem is formed by replacing the stochastic demand by its deterministic trend and discounting all costs by a new interest rate that is smaller than the original in approximate proportion to the uncertainty in the demand

inference and optimal design for a welfare measure in dichotomous choice contingent valuation this paper considers the use of contingent valuation to estimate non market benefits from separately valued nested goods survey respondents were asked referendum wtp questions regarding either a scheme to protect the whole area of a wetland or a

fossil fuel flexibility in west european power generation and the impact of system load factors this paper analyzes short run interfuel substitution in west european power generation and the impact of system load factors on fossil fuel choice the problems are studied within a restricted translog cost share model the paper concludes that interfuel substitution in existing power plants is substantial especially that between oil and gas this is consistent with the notion that short run fuel substitution takes place in dual or multi fired plants by switching load between different single fired plants and by some conversions of power plants to be able to burn alternate fuels the empirical investigation also indicates that the system load factor is a notable determinant of fossil fuel choices in west europe and the paper ends with an assessment of the fuel consequences of some load management schemes in the region

evaluating the validity of the dichotomous choice question format in contingent valuation hypothetical and actual cash willingness to pay wtp for an art print were elicited with dichotomous choice and open ended question formats comparing hypothetical and actual dichotomous choice responses using both a likelihood ratio test and the method of convolutions suggests we reject equality at the 0 05 but not the 0 01 level hypothetical wtp was roughly two times actual wtp with the dichotomous choice format there were no significant differences between the open ended and dichotomous choice question formats when both were used to estimate hypothetical wtp or both used to estimate actual wtp

how wrong can you be implications of incorrect utility function specification for welfare measurement in choice experiments despite the vital role of the utility function in welfare measurement the implications of working with incorrect utility specifications have been largely neglected in the choice experiments literature this paper addresses the importance of specification with a special emphasis on the effects of mistaken assumptions about the marginal utility of income monte carlo experiments were conducted using different functional forms of utility to generate simulated choices multi nomial logit and mixed logit models were then estimated on these choices under correct and incorrect assumptions about the true underlying utility function estimated willingness to pay measures from these choice modeling results are then compared with the equivalent measures directly calculated from the true utility specifications results show that for the parameter values and functional forms considered a continuous quadratic or a discrete linear attribute specification is a good option regardless of the true effects the attribute has on utility we also find that mistaken assumptions about preferences over costs magnify attribute mis specification effects

statistical approaches to the fat tail problem for dichotomous choice contingent valuation if a cumulative density function esti mated from dichotomous choice data has an unre alistically fat right hand tail mean willingness to pay wtp will be overestimated truncating the range of integration results in a lower bound esti mate of the true mean wtp a normalization pro cedure proposed by boyle welsh and bishop 1988 unnecessarily depresses the estimate further a new statistical approach is presented that allows a best guess estimate of mean wtp because this estimate involves extrapolation beyond the range of the data it tends to be highly variable jel q21

do children matter an examination of gender differences in environmental valuation abstract this paper is concerned with the role played by children in a household on choice behaviour related to willingness to pay wtp for environmental goods improvements data from a contingent valuation cvm survey dealing with three environmental improvements are used to examine three hypotheses the first is that after controlling for income individuals with children have higher wtp than childless individuals the second hypothesis is that women with children are willing to pay more for environmental improvements than men with children particularly in the case where there is concern for environmental health risks the third is that childless men and women exhibit significant differences in wtp that arise from greater time constraints faced by women estimated wtp functions are shown to be statistically different for four groups of individuals women with children men with children women without children and men without children parents of either gender are willing to pay more than their childless counterparts valuations of mothers and fathers are statistically different for only one of the three goods being evaluated interestingly it is the fathers mean valuations that are higher this may arise from the fact that these environmental improvements lead to better recreational opportunities and as indicated earlier men are less time constrained further support for this view comes from results that show that valuations of childless men are significantly greater than those for childless women for two goods the paper concludes with some directions for future research in the area

preferences and willingness to pay for gm labeling policies abstract the use of genetically modified organisms in agriculture is currently the focus of intense public and political debate press articles provide evidence that us consumer concerns toward biotechnology are increasing in this paper we analyze whether consumers prefer mandatory or voluntary labeling schemes through contingent valuation additionally we calculate the premium that consumers are willing to pay in order to subsidize their favorite labeling alternative we find that the premium associated with mandatory labeling is lower than expected costs this indicates that in spite of the concerns surrounding biotechnology consumers remain fairly confident with the current food and drug administration policy which does not require mandatory labeling