economic hysteresis in hog production german hog production only responds in a very limited way to price fluctuations in the pork market the hog production concentrates on a few regions though it is not bound to special natural conditions such as soil quality furthermore the volume of production does not vary over time relatively high market risks sunk costs and the flexibility of the decision maker to defer investments characterize decision problems in hog production thus the real option approach is chosen to explain the inertia in production capacity by the use of panel data of specialized hog farms from the german farm accountancy data network an empirical investment model is estimated formally the model has the structure of a generalized ordered probit model this approach allows to test for economic hysteresis in the adjustment of hog production capacity the results confirm that uncertainty and flexibility widen the optimal range of inaction

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

valuing the attributes of renewable energy investments increasing the proportion of power derived from renewable energy sources is becoming an increasingly important part of many countries s strategies to achieve reductions in greenhouse gas emissions however renewable energy investments can often have external costs and benefits which need to be taken into account if socially optimal investments are to be made this paper attempts to estimate the magnitude of these external costs and benefits for the case of renewable technologies in scotland a country which has set particularly ambitious targets for expanding renewable energy the external effects we consider are those on landscape quality wildlife and air quality we also consider the welfare implications of different investment strategies for employment and electricity prices the methodology used to do this is the choice experiment technique renewable technologies considered include hydro on shore and off shore wind power and biomass welfare changes for different combinations of impacts associated with different investment strategies are estimated we also test for differences in preferences towards these impacts between urban and rural communities and between high and low income households

low natural gas prices and the financial cost of ramp rate restrictions at hydroelectric dams abstract peaking hydroelectric dams that employ variable stop start reservoir releases can have adverse impacts on downstream river ecosystems efforts to mitigate these impacts have relied predominantly on the use of ramp rate restrictions which limit the magnitude of hour to hour changes in reservoir discharge ramp rate restrictions shift hydropower production towards less valuable off peak hours imposing a financial penalty on dam owners that is a function of the spread difference between peak and off peak electricity prices this study examines how low natural gas prices in the u s have reduced the cost of implementing ramp rate restrictions at dams by narrowing the peak off peak price spread significantly lower costs of ramp rate restrictions could open new opportunities for improving environmental flows at dams including the purchase of more natural streamflow patterns by downstream stakeholders a type of arrangement for which there is growing precedent we also explore the role that uncertainty in the cost of ramp rate restrictions could play in precluding downstream stakeholders from forming these types of agreements with dam owners results suggest that financial collar contracts could mostly eliminate inter annual variability in the net cost of restrictions and provide those purchasing more natural flows with greater certainty

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

electricity outages in ghana are contingent valuation estimates valid african countries experience persistent and serious energy outages but while multiple valuation studies provide estimates of the costs of electricity outages in high income countries evidence is scarce for lower and middle income countries the few studies that assess the value of reliable energy supply rely on the contingent valuation method that is under wide scrutiny this paper aims to provide new estimates of households willingness to pay to reduce electricity outages for ghana and contributes to the debate on the validity of contingent valuation results for energy reliability our results suggest that households are willing to pay ghs 67 17 per month for reliable electricity supply equivalent to 7 of respondents income the results of tests for hypothetical bias wtp wta disparity and income effects suggest that the contingent valuation estimates from this study are robust and can support decision makers in prioritizing energy policies and investments

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

the case of co firing the market level effects of subsidizing biomass co combustion abstract biomass combustion in co firing power plants has been treated differently in renewable electricity promoting policy schemes some policy schemes subsidize biomass co combustion while some do not in this study we analyze the impacts of a policy choice on the fuel uses investment decisions co 2 emissions and on the values of renewable electricity promoting policy instruments in particular we look at the impacts of feed in tariff and a subsidy to renewable energy both together with co 2 emissions price we present an electricity and heat market model where all the solid fossil fuel power plants are able to co fire biomass and fossil fuel in the numerical application the model is used to analyze the differences caused by the policy instruments the results show that subsidizing biomass combustion in a co firing power plant decreases the investments in pure renewable technology however the use of solid fossil fuels is not increased significantly also the co 2 intensity levels of electricity production are nearly equal whether biomass co combustion is subsidized or not

consumer demand for green power and energy efficiency abstract this article examines reported willingness to pay for electric utility investments in renewable energy and energy efficiency resources using the results of deliberative polls conducted by electric utilities in texas 1 age education and salary tend to affect reported willingness to pay for utility investments in these resources intensive exposure to information about energy resource issues led to an increase in the number of respondents interested in paying a modest premium to support investments in both renewable energy resources and energy efficiency however average reported premiums actually declined following the polls as very high outlier responses moved to more reasonable values following the polls these results support the contention that informed dialogue about energy alternatives will result in broader interest in providing a modest level of support for these resources

one and one half bound dichotomous choice contingent valuation to reduce the potential for response bias on the follow up bid in multiple bound discrete choice cvm questions while maintaining much of the efficiency gains of the multiple bound approach we introduce the one and one half bound oohb approach despite the fact that the oohb model uses less information than the double bound db approach efficiency gains in moving from single bound to oohb capture a large portion of the gain associated with moving from single bound to db in an analysis of survey data our oohb estimates demonstrated higher consistency with respect to the follow up data than the db estimates and were more efficient as well

willingness to pay for renewable energy primary and discretionary choice of british households for micro generation technologies this paper documents the policy context of renewable energy production in the european union the research adopts a choice experiment approach to investigate households wtp for these renewable energy technologies in the uk the micro generation technologies comprise solar photovoltaic micro wind solar thermal heat pumps and biomass boilers and pellet stoves the study compares the results from conditional and mixed logit models which estimate the distribution of utility coefficients and then derives wtp values as a ratio of the attribute coefficient to the price coefficient with a model in which the wtp distribution is estimated directly from utility in the money space the results suggest that whilst renewable energy adoption is significantly valued by households this value is not sufficiently large for the vast majority of households to cover the higher capital costs of micro generation energy technologies

why do people non demand reveal in hypothetical double referenda for public goods hypothetical contingent valuation surveys used to elicit values for environmental and other public goods often employ variants of the referendum mechanism due to the cognitive simplicity and familiarity of respondents with this voting format one variant the double referendum mechanism requires respondents to state twice how they would vote for a given policy proposal given their cost of the good data from these surveys often exhibit anomalies inconsistent with standard economic models of consumer preferences there are a number of published explanations for these anomalies mostly focusing on problems with the second vote this article investigates which aspects of the hypothetical task affect the degree of nondemand revelation and takes an individual based approach to identifying people most likely to non demand reveal a clear profile emerges from our model of a person who faces a negative surplus i e a net loss in the second vote and invokes non self interested non financial motivations during th

consumers willingness to pay for green electricity a meta analysis of the literature at present electricity generated from power plants using renewable sources costs more than electricity generated from power plants using conventional fuels consumers bear these expenses directly or indirectly through higher prices for renewable energy or taxes the number of studies published over the last few years focusing on people s preferences for renewables has increased steadily making it more and more difficult to identify key explanatory factors that determine people s willingness to pay wtp for renewables we present results of a meta regression on valuation of consumer preferences for a larger share of renewable energy in their electricity mix our meta regression results reveal a number of important factors that explain the differences in wtp values for renewable energy different valuation methods show widely different values with choice experiments producing the highest estimates our results further indicate that consumers wtp for green electricity differs by source with hydropower being the least valued variables that are often omitted from primary valuation studies are important in explaining differences in values these variables describe individual and household characteristics as well as information on the type of power plant that will be replaced by renewables further the marginal effect of a survey conducted in the us is pronounced we also assess the potential for using the results for out of sample value transfer and find a median error of 21 c 2015 elsevier b v all rights reserved

an experimental investigation of explanations for inconsistencies in responses to second offers in double referenda abstract this paper demonstrates the potential for induced preference experiments to test previously unverified explanations of observed behavior in contingent valuation surveys the noaa panel on contingent valuation called for experimental evidence on potential biases in the double referendum format we test carson groves and machina s incentives and informational properties of preference questions plenary address to the european association of resource and environmental economists oslo norway june 1999 simple cost uncertainty and weighted averaging explanations of inconsistent responses to follow up offers in such double referenda against a baseline of certainty and truthful preference revelation the results find evidence to support the weighted average hypothesis results regarding the cost uncertainty hypothesis are more ambiguous and merit further investigation

measuring the difference in mean willingness to pay when dichotomous choice contingent valuation responses are not independent dichotomous choice contingent valuation surveys frequently elicit multiple values in a single questionnaire if individual responses are correlated across scenarios the standard approach of estimating willingness to pay wtp functions independently for each scenario may result in biased estimates of the significance of the difference in mean wtp values this paper applies an alternative bivariate probit approach that explicitly accounts for correlation across errors in the estimation of wtp and mean wtp using data from three separate dichotomous choice contingent valuation studies this correlation is demonstrated to have an effect on the significance level of mean wtp difference tests

switching toward capital intensive technologies in finnish dairy farms we analyze dairy farmers decisions to switch from the traditional labor intensive tied housing system to a more capital intensive free stall housing the choice of the housing system is modeled as a sequence of interrelated choices errors that are consistent with the observed choices are simulated and used to control for serial correlation and farm specific fixed effects the sequence of choices is estimated by the ghk simulation technique and simulated maximum likelihood sml the results suggest that the switch toward more capital intensive free stall housing responds positively and elastically to investment grants and a farmer s capital resources in addition positive revenue shocks significantly encourage switches to free stall housing

willingness to pay lip service applying a neuroscience based method to wtp for green electricity abstract consumers willingness to pay wtp represents a central question for providers of renewable energy most studies on the subject have used contingent valuation and choice experiments however all empirical designs employed to date suffer from serious biases such as strategic behavior we introduce a novel neuroscience based approach to renewable energy related wtp research neuropricing which eliminates some of these biases we tested consumers wtp for two different green electricity products and found wtp for these products to be about 15 above that for a non green electricity tariff our results suggest that neuropricing is indeed able to eliminate strategic behavior moreover this approach allows for wtp studies with much smaller sample sizes than traditional methods require the neuroscience methodology can be used by researchers and marketers alike not only for testing the effects of product attributes on wtp but also for evaluating wtp effects of specific messages in marketing communications thus it may lead to a better understanding of consumer behavior and hence facilitate more successful marketing of renewable energy

citizen versus consumer challenges in the uk green power market abstract this paper investigates the potential advantages and disadvantages of green power products as opposed to the traditional fossil fuel levy which was the uk s chosen tax regime as a means of developing renewable energy in the uk willingness to pay for electricity generated from renewables is investigated results indicate that willingness to pay varies with social status and income however results demonstrate that there is a significant minority in full support of some sort of fiscal initiative electricity generated from renewables is a concept supported by the majority however given the stated willingness to pay it is unlikely that any new renewable capacity will result from green tariff schemes in the near term it is concluded that the green citizen must continue to co exist with the green power purchaser if the uk is to make any significant improvement in the contribution of renewable energy to electricity demand the authors would like to acknowledge the support of irene lorenzoni and jane powell of the centre for social and economic research on the global environment university of east anglia leicester energy efficiency advice centre and leicester energy agency

using contingent valuation to explore willingness to pay for renewable energy a comparison of collective and voluntary payment vehicles abstract this study uses a split sample dichotomous choice contingent valuation survey of 1574 u s residents to explore willingness to pay wtp for renewable energy under collective and voluntary payment vehicles and under government and private provision of the good we also evaluate the impact of participation expectations on stated wtp we find some evidence that when confronted with a collective payment mechanism respondents state a somewhat higher wtp than when voluntary payment mechanisms are used similarly private provision of the good elicits a somewhat higher wtp than does government provision we also find that contingent valuation responses are strongly correlated with expectations for the wtp of others our results shed light on strategic response behavior and the incentive compatibility of different cv designs and offer practical insight into u s household preferences for how to support renewable energy

structural versus reduced form estimation of optimal stopping problems in this paper i examine several statistical interpretive and policy implications of reduced form probit or logit estimation of optimal stopping problems the discussion proceeds in the context of an examination of the timber harvest decision of nonindustrial private forest nipf owners for a large class of optimal stopping problems a reduced form model which closely approximates the statistical performance of its structural counterpart is readily found still failure to properly interpret the relationship between the reduced form model and the underlying optimal stopping problem invites flawed econometric analysis and inappropriate interpretation of reduced form coefficients

propensity of green consumption behaviors in representative cities in china abstract green consumption behaviors are based on consumers attitude however there is a gap between them improving green consumption attitude will to a large extent affect the acceptance of green consumption the study interviewed consumers in four representative cities in china through questionnaires which was to search for a solution that affect consumers willingness to pay for green products by employing a multivariate logistic regression furthermore an empirical analysis was made to study their green consumption behaviors it is shown that chinese consumers have already been aware of green consumption to a certain extent and that green consumption willingness is influenced by age location sources of information and a host of other factors at present nearly half of the consumers are willing to pay an extra of no more than 5 for green products which is lower than the premium price for green products relative to non green ones however the actual premium price of green products in china exceeds this level in general rendering green products a less advantageous position in markets approaches including multiple marketing channels trade in services and green branding can effectively raise consumers reserve price for green products

valuing a wind farm construction a contingent valuation study in greece abstract our analysis is based on data from a double bounded dichotomous choice contingent valuation study implemented to elicit public attitudes towards renewable energy generation and their willingness to pay for the construction of a wind farm in the area of messanagros in the island of rhodes greece results indicate that there are significant positive values deriving from the proposed project respondents report a mean willingness to pay a premium in their bi monthly electric bills of 8 86 for the sole purpose of the construction of the wind farm the estimated economic benefits to the local population are weighed against the investment cost in a cost benefit analysis to inform policy making and implications for eu energy policy are provided

us consumers willingness to pay for green electricity abstract we analyze us consumers demand for environmental attributes of deregulated residential electricity services using results from a survey designed to elicit consumers willingness to pay for such attributes and using results from a hedonic analysis of actual price premiums charged for green electricity in several deregulated markets survey results suggest that many population segments are willing to pay for decreased air emissions even if there is no alteration in fuel source furthermore several groups are willing to pay significantly more when emissions reductions stem from increased reliance upon renewable fuels the hedonic analysis suggests that several product features not considered in the survey help explain real price premiums including fuel mix from newly created renewable generation capacity green e certification brand name and state of offer while survey and hedonic results are not easily compared due to limitations of the survey both point to similar values for key environmental attributes though the survey results are likely to overstate actual willingness to pay in sum the results suggest that consumer driven purchases can in part support the future of renewable generation capacity in the united states though reliance upon other policy alternatives may be needed if energy prices spike

does advertising serve as a signal evidence from a field experiment in mobile search we develop a field experiment that assesses whether advertising can serve as a signal that enhances consumers evaluations of advertised goods we implement the experiment on a mobile search platform that provides listings and reviews for an archetypal experience good restaurants in collaboration with the platform we randomize about 200 000 users in 13 asian cities into exposure of ads for about 600 local restaurants within the exposure group we randomly vary the disclosure to the consumer of whether a restaurant s listing is a paid ad this enables isolating the effect on outcomes of a user knowing that a listing is sponsored a pure signalling effect we find that this disclosure increases calls to the restaurant by 77 holding fixed all other attributes of the ad the disclosure effect is higher when the consumer uses the platform away from his typical city of search when the uncertainty about restaurant quality is larger and for restaurants that have received fewer ratings in the past on the supply side newer higher rated and more popular restaurants are found to advertise more on the platform and ratings of those that advertised during the experiment are found to be higher two years later taken together we interpret these results as consistent with a signalling equilibrium in which ads serve as implicit signals that enhance the appeal of the advertised restaurants to consumers both consumers and advertisers seem to benefit from the signalling consumers shift choices towards restaurants that are better rated at baseline in the disclosure group compared to the no disclosure group and advertisers gain from the improved outcomes induced by disclosure

economic evaluation of environmental externalities in china s coal fired power generation abstract serious environmental externalities exist in china s power industry environmental economics theory suggests that the evaluation of environmental externality is the basis of designing an efficient regulation the purposes of this study are 1 to identify chinese respondents preferences for green development of electric power industry and the socio economic characteristics behind them 2 to investigate the different attitudes of the respondents towards pollution and co2 reduction 3 to quantitatively evaluate the environmental cost of china s coal fired power generation based on the method of choice experiments ce and the 411 questionnaires with 2466 data points we found that chinese respondents prefer pm2 5 so2 and nox reduction to co2 reduction and that the environment cost of coal fired power plants in china is 0 30 yuan per kwh in addition we found that the socio economic characteristics of income education gender and environmental awareness have significant impacts on respondents choices these findings indicate that the environmental cost of coal fired power generation is a significant factor that requires great consideration in the formulation of electric power development policies in addition importance should also be attached to the implementation of green power price policy and enhancement of environmental protection awareness

using conjoint analysis to quantify public preferences over the environmental impacts of wind farms an example from spain this paper focuses on the effect on people s utility of the potential environmental impacts of wind farm developments we report on research designed to provide insight into their preferences and we show how two alternative choice modelling techniques can be used to estimate them our results show that significant social costs in the form of environmental impacts can be associated with wind farm developments as relative environmental values are revealed by these methods it would be possible to develop wind farms in such a way that minimises the total social costs of the investment and which maximises its net benefits

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

designing transactions without framing effects in iterative question formats abstract several studies document that iterative question formats used in contingent valuation studies produce anomalies in respondent behavior that appear to threaten the validity of welfare estimates by decomposing iterative question formats into their ascending and descending sequences we show that these anomalies occur only in ascending sequences we describe the conditions under which comparable patterns of behavior are likely to be found in other iterative question formats that begin with a discrete willingness to pay question we then develop a unified explanation of these anomalies using our model of framing based on prospect theory we provide the first head to head test of rival explanations of these behavioral patterns by developing refutable hypotheses for the strategic behavior yea saying anchoring and cost expectations models finally based on our own statistically robust model we show how these anomalies can be eliminated without loss of the statistical efficiency of most iterative question formats

dynamic random utility modeling a monte carlo analysis applied studies of commercial fishing have largely ignored the intertemporal aspects of repeated site choices for many fisheries fishermen might choose a dynamically optimal cruise trajectory rather than myopic day to day strategies and a model that ignores these considerations will likely lead to biased parameter estimates and poor policy guidance a dynamic random utility model is developed that utilizes the same information as static site choice models but is entrenched in the principles of dynamic optimization using monte carlo analysis we evaluate the performance of this estimator as compared to the static model for a variety of simulated fishery types

keep it local and fish friendly social acceptance of hydropower projects in switzerland hydropower is the largest source of renewable electricity in the world but despite being a mature and clean energy technology it has also been the subject of ecological and social conflict literature suggests that the social acceptance of renewable energy can be increased by respecting procedural justice fair participatory planning processes and distributional justice fairly allocating costs and benefits however empirical evidence about how justice considerations are related to the expansion of hydropower is scarce pre existing studies being mostly qualitative in nature we contribute to filling the gap in the current literature by describing in this paper how choice experiments with 1004 swiss residents were undertaken to explore the influence of procedural and distributional justice on acceptance relative to other attributes of hydropower projects we find that while considerations about justice do play a role in decisions to accept respondents in switzerland care most about ecological impacts and secondly about local ownership

on visible choice sets and scope sensitivity abstract in this paper we argue that the burgeoning empirical debate over scope sensitivity within contingent valuation studies is fundamentally incomplete in that it has neglected a systematic examination of certain effects of study design upon observed scope sensitivity in particular we highlight the fact that in certain study designs the choice set initially offered or visible to respondents is changed in a stepwise manner as they progress through a valuation exercise while other designs involve advance disclosure regarding the full extent of the final visible choice set prior to any choices or values being elicited the issue of changes in the visible choice set is alluded to by smith j environ econom manage 22 1 71 who identifies this as a primary challenge to kahneman and knetsch s j environ econom manage 22 1 57 well known experimental results kahneman and knetsch contend that it seems highly implausible that this minor procedural change would significantly alter results p 61 but do not test this assertion we present experimental and field tests of the impact upon contingent values of varying the visible choice set through stepwise and advance disclosure these dimensions of design are interacted with changes in the order in which nested goods are presented bottom up versus top down when a stepwise disclosure procedure is adopted the observed scope sensitivity is substantially and significantly affected by the order in which goods are presented but such procedural variance is not observed within advance disclosure designs conjectures regarding the origin and implications of such findings are presented

consumer heterogeneity and paid search effectiveness a large scale field experiment internet advertising has been the fastest growing advertising channel in recent years with paid search ads comprising the bulk of this revenue we present results from a series of large scale field experiments done at ebay that were designed to measure the causal effectiveness of paid search ads because search clicks and purchase intent are correlated we show that returns from paid search are a fraction of non experimental estimates as an extreme case we show that brand keyword ads have no measurable short term benefits for non brand keywords we find that new and infrequent users are positively influenced by ads but that more frequent users whose purchasing behavior is not influenced by ads account for most of the advertising expenses resulting in average returns that are negative

do economic instruments matter wind turbine investments in the eu 15 abstract this paper analyses how governments in the eu 15 countries have succeeded in stimulating investments in wind turbines between 1985 and 2005 i use four different evaluation criteria tobin s q euler equation estimation investment accelerator model and the effective marginal tax rate to describe the observed investment patterns after a period of rapid growth in capital stock 1985 2000 a period of modest growth 2001 2005 can be observed even though the economic attractiveness of investing increases modestly this pattern cannot be explained by the evaluation criteria unless we accept economic attractiveness is a necessary condition and not a necessary and sufficient condition when analysing which policy has worked best the policies of germany denmark and spain stand out their early and consistent support has been based on feed in tariffs combined with subsidies

heterogeneous preferences toward landscape externalities of wind turbines combining choices and attitudes in a hybrid model abstract expanding the share of renewable energy sources might substantially increase externalities as for example wind turbines may disturb the landscape and negatively affect biodiversity this paper investigates the public s sensitivities towards these externalities by using discrete choice experiments and shows how preferences differ across inhabitants of our study region as a further insight into the sources for these variations a hybrid choice model is employed in order to incorporate individuals latent attitudes in the estimated model our latent class structure allocates individuals to classes according to underlying latent attitudes that also influence the answers to attitudinal questions we show that these underlying attitudes are a function of a number of socio demographic characteristics with young people men with low income and those living closer to turbines having a stronger pro wind power generation attitude the inclusion of the attitudes in the class allocation component of the latent class model leads to a richer picture of people s valuations revealing for example antagonistic preferences of two distinct groups of respondents i e advocates and opponents of wind power generation

rational herding in microloan markets microloan markets allow individual borrowers to raise funding from multiple individual lenders we use a unique panel data set that tracks the funding dynamics of borrower listings on prosper com the largest microloan market in the united states we find evidence of rational herding among lenders well funded borrower listings tend to attract more funding after we control for unobserved listing heterogeneity and payoff externalities moreover instead of passively mimicking their peers irrational herding lenders engage in active observational learning rational herding they infer the creditworthiness of borrowers by observing peer lending decisions and use publicly observable borrower characteristics to moderate their inferences counterintuitively obvious defects e g poor credit grades amplify a listing s herding momentum as lenders infer superior creditworthiness to justify the herd similarly favorable borrower characteristics e g friend endorsements weaken the herding effect as lenders attribute herding to these observable merits follow up analysis shows that rational herding beats irrational herding in predicting loan performance this paper was accepted by pradeep chintagunta marketing

landscape externalities from onshore wind power the expansion of renewable energy is a central element of the german federal government s climate and energy policy the target for 2020 is to produce 30 of the electricity from renewable energies wind power has been selected to be a major contributor to this change replacing old wind turbines by modern ones and building new turbines on land will be crucial in meeting this target however the expansion of onshore wind power is not universally accepted in several regions of germany residents are protesting against setting up new wind turbines to determine the negative effects two choice experiments were applied in westsachsen and nordhessen germany in both regions the externalities of wind power generation until 2020 based on today s state of technology were measured the results show that negative landscape externalities would result from expanding wind power generation using latent class models three different groups of respondents experiencing different degrees of externalities were identified

supplier choice and wtp for electricity attributes in an emerging market the role of perceived past experience environmental concern and energy saving behavior abstract this study analyzes customers preferences and their willingness to pay wtp for certain service attributes in an electricity supplier choice context specifically a stated preference choice experiment is conducted in the canary islands residential market where limited competition exists preferences for different electricity suppliers and three level of service attributes are investigated namely supply reliability share of renewable energies and availability of a complementary energy audit service the results might be interpreted as an indication of different aspects new firms need to consider if they plan to enter in the market there is an opportunity for new companies to establish in the market though evidence of brand loyalty to the current company and or significant switching costs are also found especially in the case of older people regarding the estimated wtp several results should be highlighted first customers who have experienced more serious outages in the past tend to show a higher wtp to reduce the outage frequency second highly educated respondents those who state a great concern for the greenhouse gases ghg emissions and those who carry out energy saving actions in their homes exhibit a larger wtp for renewable energies this empirical evidence provides useful information for authorities responsible for energy policy design

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

harvest decisions and asset valuation for biological resources exhibiting size dependent stochastic growth optimal harvest rules and preharvest valuation procedures are derived for biological assets with stochastic size dependent growth in a stochastic price environment these issues are analyzed as continuous time optimal stopping problems both the single rotation and ongoing rotations problems are addressed the sensitivity of harvest and valuation rules is assessed the results are compared with those derived from a myopic look ahead procedure and with the corresponding findings for age dependent growth copyright 1990 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

government support of nonindustrial production the case of private forests the forest incentives program fip was authorized by congress in 1973 under this program up to 75 of all tree planting and timber improvement costs incurred by private landowners are paid by the federal government the advisability of this as well as similar statewide programs have been a topic of considerable debate in the literature using the results of an extensive forest service survey mills and cain 8 9 10 find considerable evidence that the productivity benefits and financial returns from fip related timber improvements are quite high in a recent econometric study however wallace and silver 13 find little evidence of any harvesting and subsequent resforestation effort due to cost sharing the purpose of the present study is to examine the impact of programs such as fip on the supply of timber and to explain how seemingly contradictory findings such as those above are possible at the same time we wish to analyze the effectiveness of technological information provided to landowners by extension foresters and compare its impact on timber improvement and harvest activities with that of cost sharing after briefly describing the characteristics of nonindustrial forests in section ii we construct a model in section iii whereby nonindustrial private producers maximize their utility from both the timber and non timber growing uses of the land although such models have been constructed before by binkley 2 ours is unique in explicitly accounting

patents as options some estimates of the value of holding european patent stocks in many countries holders of patents must pay an annual renewal fee in order to keep their patents in force this paper uses data on the proportion of patents renewed and the renewal fees faced by post world war ii cohorts of patents in france the united kingdom and germany in conjunction with a model of patent holders renewal decisions to estimate the returns earned from holding patents in these countries since patents are often applied for at a nearly stage in the innovation process the model allows agents to be uncertain about the sequence of returns that will be earned if the patent is kept inforce formally then the paper presents and solves a discrete choice optimal stochastic control model derives the implications of the model on aggregate behaviour and then estimates the parameters of the model from aggregate data the estimates enable a detailed description of the evolution of the distribution of returns earned from holding patents over their life spans and calculations of both the annual returns earned from holding the patents still in force or the patent stocks in the alternative countries and the distribution of the discounted value of returns earned from holding the patents in a cohort this abstract was borrowed from another version of this item

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

hydropower externalities a meta analysis this paper presents a meta analysis of existing research related to the economic valuation of the external effects of hydropower a database consisting of 81 observations derived from 29 studies valuing the non market impacts of hydropower electricity generation is constructed with the main aim to quantify and explain the economic values for positive and negative hydropower externalities different meta regression model specifications are used to test the robustness of significant determinants of non market values including different types of hydropower impacts the explanatory and predictive power of the estimated models is relatively high whilst controlling for sample and study characteristics we find significant evidence for public aversion towards deteriorations of landscape vegetation and wildlife caused by hydropower projects there is however only weak evidence of willingness to pay for mitigating these effects the main positive externality of hydropower generation the avoidance of greenhouse gas emission positively influences welfare estimates when combined with the share of hydropower in national energy production sensitivity to scope is detected but not linked to specific externalities or non market valuation methods

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

households willingness to pay for reliable electricity services in ghana abstract access to reliable electricity is important in increasing the living standards of households and promoting sustainable development however ghanaian households have had to grapple with frequent power outages and poor quality electricity services in recent times this study examines the factors influencing households willingness to pay for reliable electricity services in ghana using data collected from 950 households in the cape coast metropolitan area and the tobit regression technique it was revealed that monthly income prior notice on power outages business ownership separate meter ownership household size and education significantly affect willingness to pay for reliable electricity services on the average households were prepared to pay 44 percent gh 6 80 us 3 42 more relative to the mean monthly electricity bill in the sample to improve electricity services it is envisaged that the findings would be used by policy makers and utility companies to make electricity generation and distribution more sustainable and efficient

structural estimation of the stochastic dynamic decision problems of resource users an application to the timber harvest decision abstract this paper examines a method for structural estimation of the stochastic dynamic decision problems of resource users the method involves nesting a stochastic dynamic programming algorithm within a maximum likelihood routine an application to the timber harvest decision indicates that owners of slash pine plantations in southeast georgia use a low discount rate and treat timber price as a random walk moreover the harvest decision is apparently dominated by profit shocks overlooked in the usual models of the harvest decision

impact of a possible environmental externalities internalisation on energy prices the case of the greenhouse gases from the greek electricity sector the present paper is concerned with the impact of the internalisation of environmental externalities on energy prices in this context its aim is to quantify the external cost of greenhouse gases specifically carbon dioxide generated during electricity production in the thermal power plants in greece and to estimate the impact on the electricity production cost and on the electricity prices of a possible internalisation of this external cost by the producers for this purpose this paper applies the ecosensele online tool to quantify the examined externalities this research finds that the calculated external cost is significantly high compared to the corresponding production cost mainly in lignite fired power plants specifically a possible internalisation of this external cost would increase the production cost by more than 52 on average which in turn would affect similarly the electricity prices this finding could be important for decision makers in the electricity sector to develop strategies for emission reduction and to develop environmental and energy policies the general limitation of the external cost methodology applies to this work as it uses the standard method developed for the externe project similarly the data limitations as well as assumptions related to the costs and exclusions omissions of cost elements affect the results