contingent values as implicit contracts estimating minimum legal willingness to pay for conservation of large carnivores in sweden mean willingness to pay wtp based on multiple bounded discrete choice responses from contingent valuation surveys are normally obtained using some kind of parametric estimator this paper instead exploits the possibility to interpret the response to the discrete choice question as an implicit contract between the researcher and the respondent resulting in a minimum legal wtp mlw estimator never previously used in valuation literature it is used in this paper to estimate the wtp for the preservation of large carnivores in sweden based on a large scale national survey results show that mlw estimates only were 12 19 of the comparable parametric estimates in keeping with other results in contingent valuation literature we find that the mlw estimates are positively related to the educational level income and the fraction of urban population while negatively related to age among the advantages of the mlw estimator is its transparency as well as the fact that it rests on a contractual notion of wtp

paired comparison and contingent valuation approaches to morbidity risk valuation abstract this research uses an experimental approach for eliciting consumer valuations of morbidity risk reductions associated with safter chemical products and introduces the paired comparison questions approach to non market valuation in four applications the paired comparisons approach yields higher morbidity valuations than the more familiar contingent valuation approach however both methodologies produce large values of morbidity reduction benefits in comparison to estimates derived from wage hedonic studies explanations for the difference in the estimates and their magnitudes are suggested along with the public policy implications

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

modeling individual preferences for energy sources the case of iv generation nuclear energy in italy the planned re introduction of nuclear energy in italy was abandoned in the aftermath of the fukushima nuclear accident twenty years earlier soon after the chernobyl accident italians had also voted against nuclear energy however a new nuclear energy technology i e fourth generation is under research and development this paper investigates its social acceptance by means of a robust methodology employing 1 choice experiments 2 structural equation modeling and 3 information treatments within an online nation wide survey results show a great deal of preference heterogeneity the majority of the sampled respondents oppose new nuclear plants in italy with some not willing to accept any monetary compensation at all however another segment of respondents more confident that fourth generation nuclear energy goals will be achieved show a modest support towards the implementation of new nuclear projects additional variables were found to affect opposition

valuing option existence and bequest demands for wilderness to assess the relative importance of current costs and future benefits of nuclear waste storage we develop a simple model of bequest value the basic model of nonparternalistic altruism is extended to account for the uncertain nature of the externality

differences between continuous and discrete contingent value estimates in a split sample contingent valuation study of willingness to pay wtp for food safety improvements the dichotomous choice dc elicitation method consistently generated much larger estimates of wtp than did a continuous method little or none of these differences was due to bias introduced by the statistical techniques used with the dc data most or all of the difference was due to differences in respondent behavior in addition the continuous wtp responses showed a significant scope effect while the dc responses did not the observed difference in behavior may be attributable in part to yea saying by dc respondents

valuing water supply reliability instead of creating water supply systems that fully insulate mankind from climate imposed water deficiencies it is possible that for municipal water systems a nonzero probability of water supply shortfall is efficient perfect water supply reliability meaning no chance of future shortfall is not optimal when water development costs are high designing an efficient strategy requires an assessment of consumer preferences pertaining to the reliability of water supply contingent valuations of both current and future shortfalls are reported the consistency of these measures is gauged using an expected utility model copyright 2000 oxford university press

evaluating the public perceptions of nuclear power in china evidence from a contingent valuation survey national natural science foundation of china 71303199 71373218 ministry of education foundation of china 13yjc790123 11jbgp006 13jzd010 fundamental research funds for the central universities 201122g008 2014221001 national social science foundation of china 13zd167

time aggregation and state dependence in welfare receipt dynamic discrete choice models are an important tool in studies of state dependence in benefit receipt a common assumption of such models is that benefit receipt sequences follow a conditional markov process this property has implications for how estimated period to period benefit transition probabilities should relate when receipt processes are aggregated over time this paper assesses whether the conditional markov property holds in welfare benefit receipt dynamics in norway using high quality monthly data from administrative records we find that the standard conditional markov model is seriously misspecified estimated state dependence is affected substantially by the chosen time unit of analysis with the average treatment effect of past benefit receipt increasing with the level of aggregation the model can be improved considerably by permitting richer types of benefit dynamics we find strong evidence for both duration and occurrence dependence in benefit receipt allowing for heterogeneity in the entry and persistence processes we find important disparities in the effects of observed and persistent unobserved characteristics based on our preferred model the month to month persistence probability in benefit receipt for a first time entrant is 37 percentage points higher than the entry rate of an individual without previous benefit receipt over a 12 month period this corresponds to an average treatment effect of 5 percentage points

comment sequential moment restrictions in panel data 1992 comment sequential moment restrictions in panel data journal of business economic statistics vol 10 no 1 pp 20 26

rebound effects of new irrigation technologies the role of water rights we study how institutions such as water rights can complement new irrigation technologies in promoting the sustainability of u s agriculture using data from the ogallala high plains aquifer region of kansas we find that water extraction moderately increases after adopting low energy precise application lepa irrigation and this rebound effect is in general higher for farmers with larger water rights about half of the lepa s rebound effects arise because adopters tend to irrigate more land and grow more water intensive crops with the remaining half attributable to more intensive irrigation farmers with greater water rights use more water with two thirds of the effects arising from irrigating larger land areas and one third of the effects attributable to more intensive irrigation a 10 reduction of water rights will reduce water use by 5 in the long run and if the reduction targets the majority of the water rights which lie between 100 and 500 af lepa s rebound effect decreases by 15 4 finally we find that farmers have an incentive to apply a small amount of water in order to preserve their water rights but the associated water waste is insignificant

modelling the non market environmental costs and benefits of biodiversity projects using contingent valuation data cv studies rarely ask willingness to accept wta questions yet there are a range of environmentalprojects where there are likely to be potential losersas well as gainers this paper presents evidence fromsix biodiversity projects that the inclusion ofcontingent compensation payments from thoserespondents who preferred the status quo cansubstantially reduce net project benefits even whenthe proportion of losers is relatively small astatistical model for estimating the mean welfaremeasure from dichotomous choice data which allows forboth positive wtp zero wtp and wta is described asmany environmental projects are likely to create bothgainers and losers we recommend that cv analysts giveserious consideration to the collection and analysisof wta data otherwise they risk generating biasedestimates of project benefits

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

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

valuing the mortality risk of wildlife reintroduction heterogeneous risk preferences abstract this study is the first to value the mortality risk incurred from wildlife reintroduction we conducted choice experiments on wolf reintroduction in hokkaido japan in order to value the resulting mortality risk this process involves three unique factors the mortality risk is zero before the reintroduction the increment of the risk caused by the reintroduction is substantially small and the risk largely depends on citizens individual characteristics concerning reintroduction because of these factors the heterogeneity of risk preference is expected to be large in order to examine these heterogeneous risk preferences we use a random parameter logit model the estimation results confirm that considerable heterogeneous risk preferences exist finally the mean marginal willingness to pay to prevent the loss of one person per one billion people because of wolf reintroduction is several hundred yen

measuring state dependence in individual poverty histories when there is feedback to employment status and household composition this paper argues that the assumption of strict exogeneity which is usually invoked in estimating models of state dependence with unobserved heterogeneity is violated in the poverty context as important variables determining contemporaneous poverty status in particular employment status and household composition are likely to be influenced by past poverty outcomes therefore a model of state dependence is developed that explicitly allows for possible feedback effects from past poverty to future employment and household composition outcomes empirical results based on data from the german socio economic panel gsoep suggest that there are indeed such feedback effects and that failure to take them into account may lead to biased estimates of the state dependence effect copyright 2009 john wiley sons ltd

simple solutions to the initial conditions problem in dynamic nonlinear panel data models with unobserved heterogeneity i study a simple widely applicable approach to handling the initial conditions problem in dynamic nonlinear unobserved effects models rather than attempting to obtain the joint distribution of all outcomes of the endogenous variables i propose finding the distribution conditional on the initial value and the observed history of strictly exogenous explanatory variables the approach is flexible and results in simple estimation strategies for at least three leading dynamic nonlinear models probit tobit and poisson regression i treat the general problem of estimating average partial effects and show that simple estimators exist for important special cases copyright 2005 john wiley sons ltd

the external costs of nuclear power ex ante damages and lay risks interest has been growing in embedding the external costs of fuel cycles resulting in electricity generation into prices in any attempt to internalize these costs for the nuclear cycle the remost but real possibilities of accidents and the wide gap between lay perceptions and expert assessments of such risks must be taken into account this paper discusses this including the following topics an expected utility model of power plant operations accident risks simulation comparison of experts versus lay risks comparison of experts versus lay risk literature simulation of expert versus lay risks current practice in estimating the damages from accidents at nuclear power plants appear to ignore significant features of the problem from the perspective of economic analysis individual aversion to risk the exante perspective in decision making under uncertainty and lay risk perception are all conceptually important elements of a damage estimate that accords with observation of behavior and the theory that underlies it but that are ignored by common practice 18 refs 1 tab

fertility and female employment dynamics in europe the effect of using alternative econometric modeling assumptions we investigate the direct and long run effects of fertility on employment in europe estimating dynamic models of labor supply under different assumptions regarding the exogeneity of fertility and modeling assumptions related to initial conditions unobserved heterogeneity and serial correlation in the error terms we find overall large direct and long run effects of giving birth on employment probabilities and these effects differ considerably across countries we find that within countries the results are sensitive to the statistical assumption made on initial conditions the inclusion of serial correlation and the assumption of strict exogeneity of children however the pattern across countries is robust to these assumptions we show that such patterns are largely consistent with prevailing institutional differences related to the flexibility of the labor markets and family policies copyright 2009 john wiley sons ltd

estimation of fractional dependent variables in dynamic panel data models with an application to firm dividend policy fractional dependent variables and models with state dependence arise in many economic applications however estimating models with fractional dependent variables is complicated by the presence of two corner solution outcomes when coupled with a dynamic panel data setting estimating quantities of interest can be quite complex or computationally difficult this article demonstrates a method for estimating fractional response variables which is easy to implement and presents an application of the technique to the determination of firm dividend policy the estimation demonstrates that neglecting dynamics unobserved heterogeneity or the doubly censored nature of the dependent variable can generate misleading conclusions

endogeneity of risk perceptions in averting behavior models this paper examines the relationship between averting expenditures choices and perceived health risks models in the literature often employ risk perceptions as explanatory variables without addressing the potential endogeneity of the perceived risk we examine the implications of ignoring endogeneity in this context using an application to both drinking water choices and expenditures and perceived health risks our data are from an internet based cross canada survey that employs a novel interactive risk ladder to elicit mortality risk perceptions relating to water we employ two fundamentally different methods to assess the impact of risk perceptions on behavior an analysis of expenditures on alternate water sources and a model of proportional choice of water sources results suggest the presence of averting behavior with respect to perceived mortality risks and that the estimated effect of water risks is greater than 3 times higher when using approaches that correct for endogeneity compared to models that do not

nonresponse in contingent valuation reducing uncertainty in value inference this paper focuses on problems associated with nonresponse in contingent valuation surveys the results from a telephone follow up survey show that value inference can be considerably improved by information on nonrespondents attitudes

flexible functional form estimation of willingness to pay using dichotomous choice data abstract this paper introduces fully flexible semi nonparametric methods for calculating willingness to pay wtp bounded between zero and the respondent s income for dichotomous choice contingent valuation a method to estimate median wtp using fully flexible functional forms is also presented finally the numerical illustration demonstrates the importance of considering jensen s inequality in calculating wtp with nonlinear models

green recovery policies for the covid 19 crisis modelling the impact on the economy and greenhouse gas emissions the covid 19 pandemic induces the worst economic downturn since the second world war requiring governments to design large scale recovery plans to overcome this crisis this paper quantitatively assesses the potential of government investments in eco friendly construction projects to boost the economy and simultaneously realise environmental gains through reduced energy consumption and related greenhouse gas emissions the analysis uses a computable general equilibrium model that examines the macroeconomic impact of the covid 19 crisis in a small open economy belgium subsequently the impact of the proposed policy is assessed through comparative analysis for macroeconomic parameters as well as co2 equivalent emissions for four scenarios our findings demonstrate that the covid 19 pandemic damages economies considerably however the reduction in emissions is less than proportionate still well designed public policies can reverse this trend achieving both economic growth and a disproportionally large decrease in emissions moreover the positive effect of such a decoupling policy on gdp is even stronger during the pandemic than compared to the pre covid 19 period this is the result of a targeted investment induced green transition towards low energy intensive economic activities finally this paper describes how the net effect on the government budget is positive through the indirect gains of the economic uptake

mobility in the urban labor market a panel data analysis for mexico abstract we analyze mobility in urban mexico between three labor market states working in the formal sector working in the informal sector and not working a dynamic multinomial logit panel data model with random effects is used explaining the labor market state of each individual during each time period the data are drawn from mexico s urban employment survey a quarterly household survey for urban mexico while some of the descriptive statistics suggest that informal sector jobs are inferior to formal sector jobs formal tests cannot reject the null hypothesis of equal transition rates between formal and informal sector jobs for homogeneous groups of workers looking at entry and exit into and out of nonemployment we find that transitions from formal sector jobs to nonemployment were less likely than transitions from informal sector jobs to nonemployment in 1992 but not in 1999 suggesting that employment protection in the formal sector has been reduced

valuing public goods a comparison of survey and hedonic approaches although the theory of public goods has progressed rapidly since paul samuelson s seminal article the empirical measurement of the value of demand for public goods only recently has received increased attention perhaps the best known and most widely accepted empirical approach has been the use of hedonic prices wherein for example it is assumed that either wages or housing values reflect spatial variation in public good characteristics of different communities this indirect approach based on theoretical work of charles tiebout kelvin lancaster sherwin rosen and others has proven quite successful among public goods or bads which have been valued using the hedonic approach are climate i hoch air pollution robert anderson and thomas crocker d harrison and d rubinfeld social infrastructure r cummings et al and other community characteristics such as noise level j nelson and ethnic composition ann schnare an alternative approach is to directly ask households or individuals to state their willingness to pay for public goods using survey techniques despite arguments that strategic bias will invalidate survey results there exists the need for an alternative to the hedonic approach as an example consider the case of a remote and unique scenic vista valuable to recreators which is threatened by air pollution from a proposed coal fired plant a typical situation in the western united states although it is possible in principle to impute the value of clean air and visibility from the relative decline in local visitation which might follow construction of a power plant information on the value of visibility at the site is needed prior to construction for socially optimal decision making on plant location and pollution control equipment the hedonic approach is unavailable both because the scarcity of local population as opposed to recreators makes use of wage or property value data impossible and because scenic vistas may themselves be unique for these reasons a randall et al first applied survey methods for valuing visibility and other environmental effects of large coal fired power plants in the four corners region of new mexico since this initial application the survey approach has been widely used to value environmental commodities where market data for hedonic analysis is difficult to acquire see for example brookshire ives and schulze rowe et al brookshire et al other early attempts to value public goods using the survey approach include r davis peter bohm and j hammack and g brown although results of using the survey approach for estimating the value of public goods appear to be internally consistent replicable and consistent with demand theory see schulze et al little work on external validation has been reported thus the purpose of this paper is to report on an experiment designed to validate the survey approach by direct comparison to a hedonic property value study the los angeles metropolitan area was chosen for the experiment because of the well defined air pollution problem and be assistant professor university of wyoming assistant professor university of missouri rolla associate professor university of wyoming and professor university of wyoming respectively the research reported here was funded under a grant methods development for assessing air pollution control benefits from the u s environmental protection agency we would like to give special thanks to alan carlin and shelby gerking for their helpful suggestions and contributions additional helpful comments were received from a myrick freeman iii john tschirhart and james murdoch all conclusions are of course our sole responsibility

macroeconomic imbalances financial stress and fiscal vulnerability in the euro area before the debt crises a market view abstract this paper tries to identify the macro financial imbalances that exposed the euro area countries to fiscal stress before the outbreak of the european debt crises contrary to conventional wisdom that interprets fiscal stress in terms of fiscal sustainability we focus on short term fiscal vulnerability as reflected by the conditions of debt refinancing in the sovereign bond markets we find that market based indicators capturing risk perceptions of sovereign debts have been influenced by the indicators defined in the european macroeconomic imbalance procedure mip and by variables of financial vulnerability when pricing the risk of sovereign bonds the holders of government debts take into account not only the macroeconomic imbalances but also factors such as banking distress corporate bond risk liquidity risks in the interbank market or the volatility of stock prices

public preferences for alternative electricity mixes in post fukushima japan abstract using representative household survey data from japan after the fukushima accident we estimate peoples willingness to pay wtp for renewable nuclear and fossil fuels in electricity generation we rely on random parameter econometric techniques to capture various degrees of heterogeneity between the respondents and use detailed regional information to assess how wtp varies with the distance to both the nearest nuclear power plant and to fukushima compared to fossil fuels we find a positive wtp for renewable and a negative wtp for nuclear fuels these effects in absolute terms increase with the proximity to fukushima

problems in valuing the benefits of biodiversity protection this paper considers two problems in valuing the benefits of biodiversity protection these are firstly that preferences for biodiversity protection may be lexicographic rather than utilitarian the more individuals for whom this is true the less is cost benefit analysis validated as a means of decision making for biodiversity protection since lexicographic preferences are incompatible with the kaldor hicks compensation test secondly people may be poorly informed about the meaning of biodiversity complicating the use of contingent valuation as a means of measuring preservation benefits this paper first discusses the meaning of biodiversity and trends in diversity over time we offer some empirical evidence with regard to lexicographic preferences consider the implications of having poorly informed consumers and then report the results of a contingent valuation study of biodiversity protection with varying levels of information we find that willingness to pay for biodiversity protection increases with the level of information provided

the environmental impacts of the coronavirus the covid 19 coronavirus pandemic has resulted in global lockdowns sharply curtailing economic activity it is a unique experiment with substantial impacts that will form the agenda for research there are five sets of questions the short term impacts on emissions the natural environment and environmental policy including regulations and cop26 longer term consequences from the deployment of macroeconomic monetary and fiscal stimuli and investment in green deals possible further deglobalisation and its impact on climate change and nature intergenerational environmental impacts including debt and pollution burdens on future generations and possible behavioural changes to the environment both positive and negative

expanding contingent value sample estimates to aggregate benefit estimates current practices and proposed solutions a mail survey was administered to a panel of colorado consumers to obtain estimates of willingness to pay wtp for preserving union park detailed socioeconomic data for all surveyed individuals was available a priori we develop and employ the multiple

fairness in the contingent valuation of environmental public goods attitude toward paying for environmental improvements at two levels of scope abstract respondents to contingent valuation cv surveys give a variety of reasons for not wanting to pay money this variability is likely to reflect people s attitudes toward paying for the public good change their attitudes toward paying for public goods in general and a component that is independent of these attitudes but unique to particular beliefs about paying e g i can t afford to pay negative attitudes toward paying can contribute to an apparent insensitivity to different levels of the same public good in a telephone survey northern wisconsin property owners were asked about their wtp for four environmental public goods biodiversity indian spearfishing water quality and wolves at two levels of scope part and whole for water quality and spearfishing the part was a chain of lakes that was geographically nested within a larger region of lakes similarly the biodiversity whole represented a region comprising the smaller level of the public good the scope conditions for wolves were quantitatively nested levels of returning 300 and 800 wolves to northern wisconsin respondents beliefs about paying for each public good and level of scope were measured in order to test their generality across the different public goods and levels of scope negative attitudes toward paying that are general across public goods place restrictions on the use of cv for environmental public goods however negative attitudes that are tied to specific environmental public goods suggest that the valuation method might be difficult to implement in these cases only moreover negative attitudes toward paying that are either general or specific may contribute to perfect embedding when they are expressed across different levels of scope for the same public good respondents beliefs about paying for each public good were associated with an attitude toward paying for the respective good and an attitude toward paying for public goods in general at both levels of scope the general attitude was more explanatory of beliefs about paying for wolf reintroduction and spearfishing than were the specific attitudes the distribution of beliefs was sensitive to the type of good being valued but less so to the scope of the public good change contingent valuation practitioners should seek improvements in respondents perceptions of the fairness of the valuation process in order to facilitate citizens involvement in decisions about environmental public goods avenues for future research are proposed and discussed

valuing the incremental benefits of groundwater protection when exposure levels are known both economic theory and psychological research indicate that benefit functions for reductions in health risk exposures may be conditional on current exposures using nitrates found in household wells it is demonstrated that perceptions of health risks across exposure levels are affected by the individual s current exposure level thus providing support for a conditional benefits function approach functions of conditional incremental benefits are estimated from a contingent valuation study of households that had been informed of their water test results incremental benefits reach a peak at an intermediate level of nitrates and then decline possible explanations for this non convexity are provided

evaluating change in objective ambiguous mortality probability valuing reduction in ambiguity size and risk level this article develops a valuation model to evaluate mortality probability changes under objective ambiguity where multiple mortality probabilities are exogenously given we construct the valuation model based on upalpha maxmin expected utility to evaluate the reduction in ambiguity size and risk level as well as estimate the subjects ambiguity attitude our model can bring an interesting policy implication if the subjects are ambiguity averse a reduction in ambiguity size with a constant risk level can increases welfare thus even if risk level cannot be lowered reduction in ambiguity size can also be used as a measure toward increasing welfare our model can empirically estimate this welfare change resulting from the reduction in ambiguity size to demonstrate how our model works we apply it to survey data on a public program that reduces mortality probability in accidents caused by wildlife

uncertainty and measurement error in welfare models for risk changes abstract most welfare models of environmental or mortality risk reductions assume that risks are exogenously determined and known with certainty however a growing body of research suggests that uncertainty about risks can affect choices over risky prospects i present a decision weighted random utility model that decomposes welfare losses into those attributable to an increase in the deterministic component of risk and those attributable to uncertainty about risk i apply the model to an illustrative dataset of subjects perceived mortality risk and willingness to accept the risk of nuclear waste transport i estimate the model using lewbel s 2000 strictly exogenous regressor approach to account for endogeneity bias and measurement error subjects display aversion to both risk and uncertainty about the risk of a transport accident so that increases in either leads to social welfare losses roughly 12 of the external cost of nuclear waste transport is attributable to the public s uncertainty about transport risk

choice under uncertainty problems solved and unsolved ffifteen years ago the theory of choice under uncertainty could be considered one of the success stories of economic analysis it rested on solid axiomatic foundations it had seen important breakthroughs in the analytics of risk risk aversion and their applications to economic issues and it stood ready to provide the theoretical underpinnings for the newly emerging information revolution in economics 1 today choice under uncertainty is a field in flux the standard theory is being challenged on several grounds from both within and outside economics the nature of these challenges and of our profession s responses to them is the topic of this paper

the influence of task complexity on consumer choice a latent class model of decision strategy switching the literature indicating that person context and task specific factors cause consumers to utilize different decision strategies has generally failed to affect the specification of choice models used by practitioners and academics alike who still tend to assume an utility maximizing omniscient indefatigable consumer this article 1 introduces decision strategy selection within a maintained compensatory framework into aggregate choice models via latent classes which arise because of task complexity 2 it demonstrates that within an experimental choice task the model reflects changing aggregate preferences as choice complexity changes and as the task progresses the import of these findings for current practice model interpretation and future research needs is examined

evaluating the effect of alternative risk communication devices on willingness to pay results from a dichotomous choice contingent valuation experiment two versions of a contingent valuation questionnaire that differ only in the device used to communicate risks from hazardous waste were sent to california households both risk communication devices provide wtp functions which vary in a statistically significant fashion with the absolute risk reduction however these empirical results also demonstrate that different risk communication devices produce statistically different logit equations and hence estimates of willingness to pay wtp for reductions in exposure to hazardous waste the pros and cons of using each risk communication device in cvm surveys is also discussed

a framework for estimating dynamic unobserved effects panel data models with possible feedback to future explanatory variables abstract i show how to construct the likelihood function for the conditional maximum likelihood estimator in dynamic unobserved effects models where not all conditioning variables are strictly exogenous the method for handling the initial conditions problem appears to be novel and offers a flexible relatively simple alternative to existing methods

gender and the dynamics of technology adoption empirical evidence from a household level panel data very few empirical studies account for the dynamic nature of the agricultural technology adoption decision and none of these explores if this dynamic nature depends on the gender of the decision maker using four waves of a household level ugandan panel data this is the first empirical analysis to account for self learning one s own adoption experience in explaining current adoption decision in a developing country context and the first to study the interaction between self learning and gender technology adoption is defined as adoption of hybrid seed inorganic fertilizer or pesticides our results indicate that the dynamic panel data probit model is superior to its static counterpart in the sense that self learning captured by lagged technology adoption indicators is by far the most important determinant of technology adoption we also find a weaker impact of self learning for female headed households than male headed households female headed households face fewer learning opportunities which produce a lower self learning impact in later periods further exacerbating the gap in technology adoption among male and female headed households

eliciting public preference for nuclear energy against the backdrop of global warming one of the most important issues related to sustainability is to reduce the use of fossil fuels due to the reduction in greenhouse gases ghg emission nuclear power results in low carbon emissions and is thus important to mitigating the adverse effects of global warming and climate change however the downside of nuclear power cannot be overlooked and consequently nuclear power is a controversial issue in many countries around the world thus an important question concerns how people should support nuclear power do the climate and energy security benefits of nuclear power outweigh its risks and costs therefore we use a modified double bounded contingent valuation model to explore the attitudes and the willingness to pay wtp of a country in order to demonstrate its implications for policy we confirm that supporters and opponents of nuclear power are balanced both in terms of their numbers and in terms of their wtp the policy implication is that people do not support any dramatic increase or reduction in nuclear power and that nuclear power should still be an important means of generating electricity in taiwan the current share of nuclear power in electricity generation of 20 should be maintained in the near future

estimation of complete demand systems from household budget data the linear and quadratic expenditure systems in this paper we explore two issues in empirical demand analysis the estimation of complete systems of demand equations using household budget data section i and the incorporation of demographic characteristics into such systems section ii although there are numerous studies which use time series data to estimate complete demand systems and many which estimate engel curves from household budget data there are virtually none which combine budget data from different periods to estimate complete systems since each budget study corresponds to a single price situation one might conjecture that estimation of complete systems would not be possible unless budget studies were available from a large number of periods this is incorrect in section i we argue that interesting complete demand systems can be estimated from a small number of budget studies despite the limited price variability represented in such data to demonstrate this we use budget study data for two periods to estimate a pair of related demand systems the familiar linear expenditure system les and a quadratic expenditure system qes a generalization of les in which the demand equations are quadratic in total expenditure the inclusion of demographic variables in the analysis of household consumption patterns is desirable because there are likely to be systematic differences in the consumption behavior of households with different demographic characteristics but the effects of demographic characteristics have seldom been studied within the framework of complete demand systems in section ii we propose translating as a general method for incorporating demographic variables into complete systems of demand equations this method has not previously been discussed as a general technique for bringing demographic variables into demand systems although it has been employed in several studies to improve the estimates of the les and the qes presented in section i we reestimate these two systems using translating to incorporate family size

attitudes toward catastrophe in light of climate change and other global threats policy commentators sometimes urge that society should be more concerned about catastrophes this paper reflects on what society s attitude toward low probability high impact events is or should be we first argue that catastrophe risk can be conceived of as a spread in the distribution of losses based on this conception we review studies from decision sciences psychology and behavioral economics that explore people s attitudes toward various social risks contray to popular belief we find more evidence against than in favor of catastrophe aversion the preference for a mean preserving contraction of the loss distribution and discuss a number of possible behavioral explanations next we turn to social choice theory and examine how various social welfare functions handle catastrophe risk we explain why catastrophe aversion may be in conflict with equity concerns and other regarding preferences finally we discuss current approaches to evaluate and regulate catastrophe risk

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

the effect of risk characteristics on the willingness to pay for mortality risk reductions from electric power generation the objective of this study is to estimate willingness to pay wtp for the reduction of mortality risks caused by fossil fuel natural gas coal and oil versus nuclear electric power generation systems and to examine the influence of risk characteristics involved with electric power generation on wtp a choice experiment was conducted to achieve these objectives the attributes for nuclear risks in the experiment included the probability of disasters and the expected losses if a disaster occurs we find evidence of i a baseline effect where wtp is sensitive to hypothetical versus actual baseline expected mortality ii a labeling effect where surprisingly the term nuclear has no effect on wtp but the term fossil fueled power generation results in lower wtp and iii disaster aversion meaning that people focus on the conditional loss from a nuclear disaster not the probability we also find that the wtp for reducing deaths from a nuclear disaster is about 60 times the wtp for routine reducing fossil fuel generation related deaths

a contingent valuation estimate of the benefits of wolves in minnesota in this paper we estimate the willingness topay for a wolf management plan and a wolfdamage plan in minnesota using the contingentvaluation method the theoretical definition ofwillingness to pay for wolf protection iscomposed of use and non use values weincorporate a don t know response option in thedichotomous choice valuation questions a largenumber of respondents answered don t know themultinomial logit model is used todifferentiate between don t know and noresponses non use motives are importantfactors that explain willingness to pay we usethese benefit estimates in combination with twoalternative cost estimates to consider theefficiency of the wolf management and damageplans both plans have estimated benefitsgreater than costs