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

statistical efficiency of double bounded dichotomous choice contingent valuation the statistical efficiency of conventional dichotomous choice contingent valuation surveys can be improved by asking each respondent a second dichotomous choice question which depends on the response to the first question if the first response is yes the second bid is some amount greater than the first bid while if the first response is no the second bid is some amount smaller this double bounded approach is shown to be asymptotically more efficient than the conventional singlebounded approach using data from a survey of californians regarding their willingness to pay for wetlands in the san joaquin valley we show that in a finite sample the gain in efficiency can be very substantial

majority voting and pareto optimality this investigation of the majority voting decision under various tax structures makes the following points first that majority voting cannot be relied upon to choose the pareto optimal level of output of the public good if the structure of taxes is predetermined what is chosen is an output level of the public good that is pareto optimal with respect to the particular tax structure another tax structure might exist that provides a better solution

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

the role of rural producer organizations for agricultural service provision in fragile states this article assesses the extent of external linkages and the provision of agricultural services by rural producer organizations in a post conflict setting using new survey data collected by the international food policy research institute in three provinces of the democratic republic of the congo this study finds that various internal and external factors affect the capacity of organizations to interact with external organizations external linkages ability to collect financial support from their members management capacity and formal governance structures all contribute to explaining relative performance in agricultural service delivery we also find that exogenous events affect the relative performance of rural producer organizations our results suggest that closeness to conflict reduces the capacity of producer organizations to provide agricultural services

environmental pricing of externalities from different sources of electricity generation in chile abstract the rapid increase in electricity demand in chile means a choice must be made between major investments in renewable or non renewable sources for additional production current projects to develop large dams for hydropower in chilean patagonia impose an environmental price by damaging the natural environment on the other hand the increased use of fossil fuels entails an environmental price in terms of air pollution and greenhouse gas emissions contributing to climate change this paper studies the debate on future electricity supply in chile by investigating the preferences of households for a variety of different sources of electricity generation such as fossil fuels large hydropower in chilean patagonia and other renewable energy sources using double bounded dichotomous choice contingent valuation a novel advanced disclosure method and internal consistency test are used to elicit the willingness to pay for less environmentally damaging sources policy results suggest a strong preference for renewable energy sources with higher environmental prices imposed by consumers on electricity generated from fossil fuels than from large dams in chilean patagonia policy results further suggest the possibility of introducing incentives for renewable energy developments that would be supported by consumers through green tariffs or environmental premiums methodological findings suggest that advanced disclosure learning overcomes the problem of internal inconsistency in sb db estimates

estimation using contingent valuation data from a dichotomous choice with follow up questionnaire reply abstract our original article proposed that the two yes no willingness to pay wtp responses produced by this survey format should be viewed as a pair of jointly distributed correlated discrete random variables the comparison model the conventional approach to estimation using these types of data contained a programming error correction alters the results from the comparison model but our original claim that estimation by conventional methods can produce misleading inferences if ours is the appropriate specification still stands this is especially true if negative wtp is precluded when e wtp is calculated

collective action initiatives to improve marketing performance lessons from farmer groups in tanzania this study aims to examine the extent to which certain characteristics and asset endowments of smallholder farmer groups facilitate collective action initiatives to improve group marketing performance this is approached through an evaluation of a government led programme in tanzania which is attempting to increase smallholder farmers incomes and food security through a market oriented intervention findings suggest that more mature groups with strong internal institutions functioning group activities and a good asset base of natural capital are more likely to improve their market situation gender composition of groups also affects group marketing performance as an enabling factor for male dominated groups structural social capital in the form of membership in other groups and ties to external service providers and cognitive social capital in the form of intra group trust and altruistic behaviour are not significant factors in a group s ability to improve its market situation

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

optimal bid selection for dichotomous choice contingent valuation surveys abstract this paper develops a model for optimal survey design for the dichotomous choice contingent valuation method that finds the bid amounts as well as the sample sizes corresponding to each bid the model uses an iterative procedure to select the survey design that minimizes the mean square error of the welfare measure a set of monte carlo simulations shows that the model produces significantly lower mean squared errors for the welfare estimate than the next best model produces survey design under alternative assumptions regarding the statistical distribution of the welfare measure is also addressed the model produced significantly different survey designs depending on whether the distribution was assumed to be symmetric or asymmetric

moving from the stock of social capital to the flow of benefits the role of agency abstract comparing results for 60 villages in rajasthan india it is seen that having a high level of social capital does not always help to achieve high development performance stocks of social capital need to be drawn upon actively and capable agency is necessary in addition to high social capital locally relevant scales of development performance and social capital are devised for making this comparison variables corresponding to other bodies of explanation including extent of commercialization relative stratification and relative need are also examined but a combination of high social capital and capable agency is found to be associated most closely with high development performance

a new paradigm for valuing non market goods using referendum data maximum likelihood estimation by censored logistic regression abstract this paper challenges the w m hanemann amer j agr econom 66 332 341 1984 and c sellar j p chavas and j r stoll j environ econom management 13 382 390 1986 utilizations of logit models to estimate the value of non market resources from referendum survey data these data are more informative than conventional choice data the random utility interpretation of logit models is therefore too restrictive bypassing the utility function entirely it will be shown that parameters and standard errors for utility theoretic inverse hicksian demand functions can be extracted directly and much more simply estimated demand functions need not be limited to those corresponding to the linear in parameters utility difference specifications which can be handled by packaged logit programs

earmarking conservation further inquiry on scope effects in stated preference methods applied to nature based tourism abstract the way people assign value to nature conservation policies has important implications for management choices economic valuation surveys are affected by individual behavioural patterns that are not exhaustively explained by traditional sources of bias such as embedding flagship species fixed budget commodity misspecification and warm glows through a contingent valuation study of alpine wildlife we use an external scope test to evaluate the difference in willingness to pay among tourists for conservation policies targeted either to the ibex alone or to the four ungulates populating the gran paradiso national park in northwest italy ibex red deer roe deer chamois we find that park users are willing to contribute significantly more to policies protecting one of the four ungulates than all four of them a result that we argue should be ascribed to pure aversion to less specific policy objectives i e to a preference for punctual earmarking of resources devoted to conservation

improved estimation of willingness to pay in dichotomous choice contingent valuation studies this paper uses recently developed statistical techniques to achieve improved parameter estimates from models ofdichotomoiis choice contingent valuation data random effects associated with bid amounts presented to respondents are modelled alongside the variance of individual responses to give a nested model which more truly reflects the structure of the data being analyzed quasi likelihood methods for estimating parameters in such hierarchical models are discussed and a simulation method for assessing goodness of fit is demonstrated however estimated parameters may still be biased and hence a parametric bootstrap technique is presented and compared to a delta method approximation jel q26

difficulties in valuing street light improvement trust surprise and bound effects previous empirical research has demonstrated an internal inconsistency that may occur in response strategies between the first and second valuations made to closed ended contingent valuation questions one possible explanation for this bound effect is the surprise of being asked the second valuation question which may be enhanced where there is a lack of trust this paper considers the use of closed ended contingent valuation to estimate non market benefits for an improved street lighting scheme where there is a lack of trust in the agency responsible for provision the results provide confirmation that surprise is an important determinant of bound effects however efforts to reduce such bias using a prior statement of the bid range were found to be ineffective in increasing trust and reducing surprise given the importance of this area of research directions for future research are considered

escaping poverty and becoming poor who gains who loses and why abstract different households have followed very different economic trajectories this study of 35 north indian villages shows members of 11 1 of 6 376 households in these villages have overcome poverty in the last 25 years while members of another 7 9 have fallen into poverty households escape from poverty is assisted by one set of factors but an entirely different set of factors is associated with households decline two distinct sets of policies are required thus one set to promote escape from poverty and another set to arrest decline into poverty poverty has some distinctly local antecedents a methodology for tracking changes in poverty at the local level is developed that community groups and others can use to assess change and examine causes

semiparametric estimation of the binary choice model for contingent valuation this paper is concerned with the estimation of the binary choice model without imposing any parametric structure on the distribution of the stochastic term we adapt the distribution free maximum l

optimal experimental design for double bounded dichotomous choice contingent valuation the double bounded dichotomous choice model is becoming popular in the contingent valuation literature this technique considers the responses to two bids the second one being determined according to the response to the first and it has been shown to be statistically more efficient than the standard single bounded model in this paper the issue of the optimal choice of bid values for the double bounded logit model is addressed these designs are derived to satisfy the d optimal c optimal and fiducial method criteria

optimal designs for discrete choice contingent valuation surveys single bound double bound and bivariate models this paper finds the designs for discrete choice contingent valuation surveys which maximize the precision of a statistic of interest about the public s willingness to pay wtp for a change in the environmental quality such as median wtp an optimization problem is set up in which the efficiency of the estimate of median wtp or a related concept is the objective function to optimize with respect to the survey design i e the set of bids offered to the respondents in deriving the optimal designs we consider alternative econometric models such as the basic single bound model that uses the responses to the first payment question the traditional interval data or double bound model for surveys with a follow up payment question and the recently proposed bivariate binary response model simulations are carried out to compare the alternative design principles and assess their performances with respect to the statistic of primary interest median wtp and other welfare measures such as mean wtp other designs that are constructed ad hoc are also examined

starting point bias in dichotomous choice valuation with follow up questioning abstract follow up questions are frequently used to improve the efficiency of dichotomous choice contingent valuation questionnaires however a number of authors e g 12 16 have noted a significant difference between the wtp distributions implied by initial and follow up question responses this paper investigates starting point bias as one explanation for the phenomenon we develop a model of starting point bias in the context of dichotomous choice questioning with follow up using a monte carlo simulation to illustrate the potential bias imparted to wtp estimates an application is provided based on data from a cv study in northcentral iowa

what determines urban households willingness to pay for co2 emission reductions in turkey a contingent valuation survey abstract this paper explores turkish urban households willingness to pay wtp for co2 emission reductions expected to result from improvements in power production a face to face questionnaire with a contingent valuation cv module prepared using the double bounded dichotomous choice elicitation framework was administered to 2422 respondents representative of urban turkey a developing country with low but rapidly increasing greenhouse gas emissions the determinants of wtp were identified by considering not only the impact of standard socio economic factors but also the effects of environmental knowledge attitudes and behaviour the relevance of the identity of the collection agent national versus international institutions in terms of trust people have towards them and the degree of perceived participation of others in the realization of the project our study confirms the existing literature in demonstrating that wtp figures reported by young and educated people that are active on environmental issues and who also possess material security and environmental knowledge are more likely to be high however their willingness to make contributions is hampered significantly by their belief that their fellow citizens will not contribute and the general lack of trust in institutions overall this study may be taken as a call to eliminate governance related uncertainties in climate change deals

a conceptual framework for community based health insurance in low income countries social capital and economic development summary the international policy model linking community based health insurance cbhi and universal coverage for health care in low income countries is implicitly determined by the development of mutual health insurance in 19th century europe and japan the economic and health system frameworks employed in cbhi policy have not sufficiently taken into account contextual considerations social capital theories could contribute to understanding why generally cbhi does not achieve significant and sustainable levels of population coverage a framework of social capital and economic development is used to organize and interpret existing evidence on cbhi this suggests that solidarity trust extra community networks vertical civil society links and state society relations affect the success of cbhi aligning schemes to social determinants of cbhi could result in structures that differ from those proposed by current analytic frameworks

procedural invariance testing of the one and one half bound dichotomous choice elicitation method the contingent valuation method for estimating willingness to pay for public goods typically adopts a single referendum question format which is relatively statistically inefficient as an alternative cooper hanemann and signorello 2002 propose the one and one half bound oohb format allowing researchers to question respondents about both a lower and higher limit on project costs thereby securing substantial gains in statistical efficiency using an experimental design we find that responses to oohb valuation questions fail crucial tests of procedural invariance we test various competing models of observed response patterns including strategic misrepresentation of standard preferences and nonstandard models of preference formation

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

learning design contingent valuation ldcv noaa guidelines preference learning and coherent arbitrariness we extend the contingent valuation cv method to test three differing conceptions of individuals preferences as either i a priori well formed or readily divined and revealed through a single dichotomous choice question as per the noaa cv guidelines k arrow r solow p r portney e e leamer r radner h schuman report of the noaa panel on contingent valuation fed reg 58 1993 4601 4614 ii learned or discovered through a process of repetition and experience j a list does market experience eliminate market anomalies q j econ 2003 41 72 c r plott rational individual behaviour in markets and social choice processes the discovered preference hypothesis in k arrow e colombatto m perleman c schmidt eds rational foundations of economic behaviour macmillan london st martin s new york 1996 pp 225 250 iii internally coherent but strongly influenced by some initial arbitrary anchor d ariely g loewenstein d prelec coherent arbitrariness stable demand curves without stable preferences q j econ 118 1 2003 73 105 findings reject both the first and last of these conceptions in favour of a model in which preferences converge towards standard expectations through a process of repetition and learning in doing so we show that such a learning design cv method overturns the stylised facts of bias and anchoring within the double bound dichotomous choice elicitation format

efficiency gains afforded by improved bid design versus follow up valuation questions in discrete choice cv studies interval data analysis of cv dis crete choice responses delivers efficiency gains which must be weighed against the risk of intro ducing strategic response bias efficiency gains are also achievable by improved bid design we assess these gains on median wtp estimates first in an empirical application then by means of a monte carlo experiment comparing three differ ent bid designs improved but sub optimal bid design delivers comparable gains to those achieved by one and two follow up questions the first follow up captures more than 50 of the efficiency gain provided by a second follow up jel q26

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

bias in discrete response contingent valuation abstract the empirical literature on discrete response contingent valuation has found that seemingly innocuous changes in the statistical models estimated result in significantly different point estimates of willingness to pay this paper hypothesizes and tests several potential explanations for these results first it investigates and compares the biases inherent in single bounded and double bounded maximum likelihood estimation procedures and examines how they react to various bid designs and sample sizes then it examines the presence and identification of outliers in binary choice data and how these outliers influence estimation finally it presents an alternative approach to addressing the issue of outliers which explicitly acknowledges the possibility of upwardly biased response probabilities

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

repeated dichotomous choice formats for elicitation of willingness to pay simultaneous estimation and anchoring effect repeated dichotomous choice contingent valuation data are generated from responses to a succession of binary questions regarding alternative prices for an environmental good in this paper we propose a simultaneous equation model that allows for endogeneity and error correlation across the responses at each stage of the bidding process the model allows us to study the evolution of anchoring effects after the second dichotomous choice question estimation involves the bayesian techniques of gibbs sampling and data augmentation and the application focuses on the preservation value of a natural area the results for a data set involving up to four successive dichotomous choice questions show that restricted multiple bounded models are rejected by the data with the general model in addition willingness to pay tends to stabilize after the second stage in the elicitation process for the general unrestricted model when taking anchoring effects into consideration it is revealed that individuals responses in the latter stages are influenced by the sequence of bid prices offered in earlier questions nevertheless they do not have a significant effect on welfare estimates