design and analysis of simulated consumer choice or allocation experiments an approach based on aggregate data the authors integrate concepts in conjoint analysis and discrete choice theory in econometrics to develop a new approach to the design and analysis of controlled consumer choice or resource allocat

green market expansion by reducing information asymmetries evidence for labeled organic food products abstract we investigate how the provision of objective information about the environmental and health impact of organic labels by policy makers can influence the willingness to pay of consumers for labeled organic apples in flanders belgium using a stated choice experiment we initially find that flemish consumers are willing to pay a positive price premium of some 33 eurocent per kilogram for labeled organic apples after the provision of information on the actual environmental and health effects of organic apple production this price premium becomes even more pronounced and increases to 57 eurocent per kilogram using a conditional logit model with covariates and a mixed logit model we find evidence of preference heterogeneity also the effect of information provision is more pronounced for certain groups of consumers such as non vegetarians infrequent buyers of organic products and members of a nature protection organization as such this paper illustrates that there is a role for policy makers and csr producers in providing more accurate and reliable information about socially responsible production processes moreover it is important to take the observed preference heterogeneity into account and tailor policies to specific consumer groups

the investor specific price of renewable energy project risk a choice experiment with incumbent utilities and institutional investors abstract renewable energy investments in germany have recently soared trebling the output of wind and solar power generation in only ten years while incumbent utilities have lagged behind in terms of investment new entrants have significantly contributed to this growth existing literature has primarily focused on explaining the lethargy of incumbents former investments although there is a growing need to investigate recent investment drivers to secure the necessary power plant capacity at a moderate cost from incumbents and new entrants alike to close this gap a choice experiment involving 1 659 investment choices by 52 european professional investors was conducted in significant contrast to the case with altruistic investors this survey underlines the importance of using financial incentives to attract professional investors given full exposure to electricity price risk incumbent utilities would facilitate projects at a 3 04 risk premium whereas institutional investors demand 6 61 generally incumbent utilities and institutional investors are equally attracted by low risk projects however when risk increases institutional investors are more hesitant to become involved while incumbent utilities confidently navigate these higher risk projects

uncovering context induced status quo effects in choice experiments abstract in this study five design dimensions are varied systematically investigating context induced status quo effects in choice experiments additionally two structural complexity measures entropy and the number of attribute level changes are used to capture status quo effects from the similarity between alternatives and the number of trade offs a crucial finding is that the frequency of status quo choices is negatively associated with the number of alternatives indicating preference matching effects by contrast the probability of choosing the status quo increases with a higher number of choice tasks a wider level range and the similarity between alternatives status quo choices are further affected by the current environmental situation perceived by respondents we also find that marginal and non marginal welfare estimates are significantly affected by the choice design one key finding is that the most used choice task format in environmental economics i e two hypothetical and a status quo alternative is likely to increase the propensity to choose the status quo option

generalized q models for investment the authors extend the q theory of investment to allow for adjustment costs for labor under the additional assumption that the firm is a monopolistic competitor in the output market the issue of nonconstant returns to scale is also discussed the authors show that the standard q model is a special case of a more general model involving testable parameter restrictions estimates for the u s manufacturing sector suggest that the departure from the assumption of perfect competition and lack of adjustment costs for labor receive empirical support in the data copyright 1991 by mit press

benefit estimates for landscape improvements sequential bayesian design and respondents rationality in a choice experiment a multi attribute stated preference approach is used to value low and high impact actions on four major landscape components addressed by the rural environment protection scheme in ireland several methodological issues are addressed the use of prior beliefs on the relative magnitudes of parameters standardized description of different levels of landscape improvements via image manipulation software adoption of efficiency increasing sequential experimental design and sensitivity of benefit estimates to inclusion of responses from irrational respondents results suggest that bayesian design updating delivers significant efficiency gains without loss in respondent efficiency and estimates are upward biased when irrational respondents are included

estimation of distance decay functions to account for substitution and spatial heterogeneity in stated preference research in a site selection choice experiment various hypotheses are tested related to spatial heterogeneity in willingness to pay wtp for environmental improvements spatial heterogeneity is measured through distance decay effects substitute sites inside and outside the experiment s choice set and spatial trend variables we demonstrate that distance decay functions differ between users and nonusers and across study sites also the distance to substitutes outside the choice set explains spatial variation in wtp we show that further extending the model with spatial trend variables reveals additional spatial heterogeneity in choices accounting for spatial heterogeneity patterns results in significantly different wtp estimates for environmental improvements jel q25 q51

incorporating discontinuous preferences into the analysis of discrete choice experiments data from a discrete choice experiment on improvements of rural landscape attributes are used to investigate the implications of discontinuous preferences on willingness to pay estimates using a multinomial error component logit model we explore differences in scale and unexplained variance between respondents with discontinuous and continuous preferences and condition taste intensities on whether or not each attribute was considered by the respondent during the evaluation of alternatives results suggest that significant improvements in model performance can be achieved when discontinuous preferences are accommodated in the econometric specification and that the magnitude and robustness of the willingness to pay estimates are sensitive to discontinuous preferences

measuring the consumer benefits of improving farm animal welfare to inform welfare labelling abstract policy makers in the european union are envisioning the introduction of a community farm animal welfare label which would allow consumers to align their consumption habits with their farm animal welfare preferences for welfare labelling to be viable the market for livestock products produced to higher welfare standards has to be sufficiently segmented with consumers having sufficiently distinct and behaviourally consistent preferences the present study investigates consumers preferences for meat produced to different welfare standards using a hypothetical welfare score data is obtained from a contingent valuation study carried out in britain the ordered probit model was estimated using bayesian inference to obtain mean willingness to pay we find decreasing marginal wtp as animal welfare levels increase and that people s preferences for different levels of farm animal welfare are sufficiently differentiated making the introduction of a labelling scheme in the form of a certified rating system appear feasible

the effect of individual ability to choose scale heterogeneity on the valuation of environmental goods christie m gibbons j 2011 the effect of individual ability to choose scale heterogeneity on the valuation of environmental goods ecological economics 70 12 2250 2257

are choice experiments incentive compatible a test with quality differentiated beef steaks this study compares hypothetical and nonhypothetical responses to choice experiment questions we test for hypothetical bias in a choice experiment involving beef ribeye steaks with differing quality attributes in general hypothetical responses predicted higher probabilities of purchasing beef steaks than nonhypothetical responses thus hypothetical choices overestimate total willingness to pay for beef steaks however marginal willingness to pay for a change in steak quality is in general not statistically different across hypothetical and actual payment settings

factor adjustment spikes and interrelation an empirical investigation we take a descriptive look at interrelated factor demand starting from the observation that adjustment of capital and labor is lumpy we find that the adjustment dynamics of an input factor are affected by large adjustments in the other

embracing model uncertainty strategies for response pooling and model averaging econometricians modeling stated preference sp data and most other types of data are confronted with the uncomfortable reality that our knowledge of the true model is limited with only certain variables suggested by the application at hand and general classes of functional forms and error structures suggested by the literature accepting our limited knowledge we pursue strategies for analyzing sp data that are more robust to uncertainties in our knowledge of the true model these include non parametric and parametric likelihood based tests of pooling responses from different elicitation formats and a frequentist based model averaging approach for estimating willingness to pay functions we argue that these strategies lead to increased econometric integrity and empower the ultimate users of models such as policy decision makers and even juries to better assess the robustness of the results we apply these approaches to an sp survey of saltwater angling in alaska which utilized split sample rankings and ratings elicitation methods while an important goal of our paper is to develop practicable modeling strategies that will ultimately lead to more robust conclusions and more confidence by the users of sp results an equally important goal is to engender a critical discussion of how we can make the analysis of sp data more robust

unraveling the choice format effect a context dependent random utility model a few recent studies report that preferences elicited from a two alternative choice format are different from those elicited from a three alternative choice format when both choice set designs contain a status quo option we hypothesize that the choice format effect might disappear when we estimate a random utility model rum that allows for context dependent preferences based on the estimated context dependent rum we find that the choice format effect is likely the result of two offsetting effects a task complexity effect that increases the probability of choosing the status quo option and a preference matching effect which decreases the probability

two new features in discrete choice experiments to improve willingness to pay estimation that result in sdr and sadr separated adaptive dual response discrete choice experiments such as choice based conjoint and dual response are popular preference elicitation methods yet they can suffer from context effects extreme response behavior and problems with estimating consumers willingness to pay accurately when the purchase probability is high this study proposes two new features to avoid these limits a strictly separating all forced and all free choice questions and b an adaptive mechanism to select fewer but more informative free choice questions the use of these two features invokes two new discrete choice experiment methods separated dual response sdr with just the first feature and separated adaptive dual response sadr with both features a conceptual comparison simulation study tests to address endogeneity concerns and three empirical studies demonstrate the appeal of these two new features relative to the benefits of existing discrete choice experiments especially when estimating willingness to pay data as supplemental material are available at http dx doi org 10 1287 mnsc 2015 2367 this paper was accepted by pradeep chintagunta marketing

complexity effects in choice experiment based models abstract many firms rely on choice experiment based models to evaluate future marketing actions under various market conditions this research investigates choice complexity i e number of alternatives number of attributes and utility similarity between the most attractive alternatives and individual differences in decision time as key factors that affect the predictive performance of models based on choice experiments both within and between complexity conditions the results show that complexity and individual decision time not only affect the error in consumer choice models but also consumers decision strategy and systematic utilities the authors introduce a complexity adjusted mixed logit cam logit model to capture the various influences of complexity in choice experiment based models they illustrate the consequences of complexity on choice behavior with market share predictions of the cam logit model for different complexity conditions

addressing preference heterogeneity multiple scales and attribute attendance with a correlated finite mixing model of tap water choice unobserved heterogeneity of error scale in choice models is a recent extension of the better investigated issue of heterogeneity of taste intensity it is achieved by fitting choice panel data with specifications that simultaneously handle inter personal variation in scale and taste the aim is to separate differences in preference intensities across respondents from differences in the degree of consistency in choice behaviour or preference discrimination while accounting for correlation between the two another recent substantive issue in choice data analysis is attribute non attendance we develop a finite mixing model to address simultaneously the three issues above we empirically prove the concept on stated preference data related to tap water attributes in a study for industry regulation

choice set formation for outdoor destinations the role of motivations and preference discrimination in site selection for the management of public expenditures on protected areas effective public expenditure currently dominates the management focus of many protected areas this calls for explicit modeling of constraints and motivations that respectively obstruct and stimulate visits to selected outdoor destinations choice set formation is the result of screening and or inclusion of specific sites alternatives to form the set of sites considered in real choices evidence shows that the omission of a structural representation of choice set formation is harmful to econometric inference yet the literature has largely ignored the underlying behavioral phenomenon we show using a discrete choice experiment involving selection among seven recreational sites in an italian national park that choice set formation is behaviorally relevant even after controlling for preference discrimination motivations why visit are important determinants of preliminary site screening for choice set inclusion as well as site selection justifying the additional value of such modeling extension

decision making when choices are complex a test of heiner s hypothesis this paper explores heiner s hypothesis concerning a gap between the cognitive ability of decision makers and the difficulty of decisions the c d gap we discuss the implications of decision heuristics for coefficient estimates when uncertainty is faced by decision makers where the level of uncertainty varies with complexity statistical analysis strongly supports the presence of a c d gap and provides evidence supporting the use of decision heuristics the results of both direct and indirect methods suggest that mixed decision strategies may be used we also find that complexity effects can have important implications for welfare analysis

adding asymmetrically dominated alternatives violations of regularity and the similarity hypothesis an asymmetrically dominated alternative is dominated by one item in the set but not by another adding such an alternative to a choice set can increase the probability of choosing the item that dominates it this result points to the inadequacy of many current choice models and suggests product line strategies that might not otherwise be intuitively plausible

structural identification of high and low investment regimes abstract we propose a structural model to investigate the existence and possible differences between low and high regimes of investment expenditures in equipment at the firm level the existence of such differences is predicted by recent theoretical studies of investment behavior stressing the role of asymmetries and non convexities in the adjustment cost technology the structural spike model is estimated for a balanced panel of dutch firms operating in 13 different industrial sectors the flexibility of the structural approach explains why the proposed method outperforms models applying ad hoc spike definitions often encountered in the empirical literature of lumpy investments

valuing indigenous cattle breeds in kenya an empirical comparison of stated and revealed preference value estimates abstract in this study we compare revealed and stated preference approaches to value traits of cattle in kenya the premise is that much can be learnt about non market values of indigenous animal genetic resources angr from the use of multi attribute stated preference methods if these compare well with revealed preference results the objective is to investigate the performance of choice experiments ces in maasai cattle trading by conducting an external test of preference consistency we compare value estimates for cattle attributes from ces data with those from hedonic analysis of actual transactions by the same population of traders in the same markets and over the same period if ces perform well they can be used to investigate values of those genetically determined livestock traits currently not prominent in pastoralists populations but desirable candidates for breeding or conservation programmes e g disease resistance the results indicate that ce estimates pass the external test and appear to be adequately precise in estimating values for cattle traits that are relevant in market transactions for maasai traders accounting for taste and variance heterogeneity does not change this conclusion ces may therefore be a promising tool for valuing phenotypic traits expressed by indigenous angr

should all choices count using the cut offs approach to edit responses in a choice experiment should we give equal weight to all responses in a choice experiment previous choice modelling papers have considered the issue of the internal consistency of choices such as the extent to which strictly dominated options are chosen in this paper a different focus is employed namely the extent to which people choose options which violate their stated upper or lower limits for the acceptable levels for individual attributes since hypothetical over statement of wtp has been a focus in stated preference studies we concentrate on violations of stated upper limits of wtp and explore the effects of editing such choices using a variable censoring rule and alternative approaches to re classifying choices the empirical case study is a choice experiment on eco tourists in rwanda our main conclusion is that the suggested approach offers a useful way of imposing consistency on choices and that editing choices in this manner has an appreciable impact on estimated willingness to pay however issues remain with regard to explaining why people apparently violate their stated maximum willingness to pay

mass customization a method for market segmentation and choice menu design abstract this paper proposes a method for designing choice menus for mass customization mc the method is based on the analysis of stated preferences sp on product or service attributes obtained through panel studies the method is first presented and then illustrated with a real world case application in a natural gas ng distribution company the case application indicated the method was able to elicit stated preferences on a broad range of attributes enabling the design of choice menus of different sizes and content for alternative customer segments thus balancing the trade off between flexibility and complexity that is at the core of choice menu design

employment changes the structure of adjustment costs and plant size abstract in this paper we analyze the pattern of employment adjustment using a rich panel of norwegian plants the data suggest that the frequency of episodes of zero net employment changes is inversely related to plant size we develop and estimate a simple q model of labor demand allowing for the presence of fixed linear and quadratic components of adjustment costs the econometric evidence supports the existence of purely fixed components unrelated to plant size as a result the range of inaction is wider for smaller plants the quadratic component of costs is also always important in most specifications fixed costs are higher for employment contractions the quadratic component is higher during employment contractions compared to expansions for small plants while this is not true for larger plants

attending to the reasons for attribute non attendance in choice experiments this paper focuses on behavioural reasons underlying stated attribute non attendance in choice experiments in order to identify and incorporate procedures for dealing with heterogeneous attribute processing strategies we ask respondents follow up questions regarding their reasons for ignoring attributes based on these statements we conclude that the standard way of assigning a zero impact of ignored attributes on the likelihood is inappropriate we find that some respondents act in accordance with the passive bounded rationality assumption since they ignore an attribute simply because it does not affect their utility excluding these genuine zero preferences as the standard approach essentially does might bias results other respondents claim to have ignored attributes to simplify choices however we find that these respondents have actually not completely ignored attributes we argue along the rationally adaptive behavioural model that valid preference information may indeed be elicited in these cases and we illustrate how recoding of non attendance statements conditional on stated reasons may be a more appropriate solution than the current standard way of taking stated non attendance into account

convergent validity of attribute based choice questions in stated preference studies the application of attribute based choice questions is well established in the marketing literature but there are unique aspects of the design that warrant investigation to assess their validity for economic welfare estimation three design issues are investigated in this paper 1 the placement of the monetary stimulus policy cost to respondents in the sequence of attributes 2 the number of policy alternatives respondents are asked to consider in choice questions two versus three and 3 the inclusion versus exclusion of a status quo alternative in choice questions the data used to implement these investigations are from a survey designed to estimate the value maine residents place on a farmland conservation easement program tests of convergent validity indicate that the placement of the monetary stimulus first versus last in the list of attributes did not affect estimates of preference parameters significant differences between questions with three versus two alternatives did occur and the inclusion exclusion of a status quo alternative did not affect preference parameters

zeros and lumps in investment empirical evidence on irreversibilities and nonconvexities the objective of this paper is to investigate if and how capital adjustment departs from the smooth pattern implied by standard model based on convex adjustment costs using norwegian micro data we start by documenting the intermittent and lumpy nature of investment rates we then present two pieces of econometric evidence on these issues first we estimate a discrete hazard model to determine the probability of having an episode of high investment conditional on the length of the interval from the last high investment episode second we estimate a switching regression model that allows for the response of the investment rate to fundamentals to differ across regimes in both cases we investigate the aggregate implications of our results

choice based on reasons the case of attraction and compromise effects building on previous research this article proposes that choice behavior under preference uncertainty may be easier to explain by assuming that consumers select the alternative supported by the best reasons this approach provides an explanation for the so called attraction effect and leads to the prediction of a compromise effect consistent with the hypotheses the results indicate that 1 brands tend to gain share when they become compromise alternatives in a choice set 2 attraction and compromise effects tend to be stronger among subjects who expect to justify their decisions to others and 3 selections of dominating and compromise brands are associated with more elaborate and difficult decisions

labor demand and the structure of adjustment costs this study examines the costs firms face in adjusting labor demand to exogenous shocks evidence on monthly plant level data shows that adjustment proceeds in jumps employment is unchanged in response to small shocks but moves instantaneously to a new equilibrium if the shocks are large results in the large literature that assumes smooth adjustment are due to aggregation of this nonlinear relation the finding has implications for cyclical changes in productivity for severance pay layoff and plant closing restrictions and for all other policies that affect the cost of adjusting employment copyright 1989 by american economic association

sequentiality versus simultaneity interrelated factor demand abstract firms may adjust capital and labor sequentially or simultaneously in this paper we develop a structural model of interrelated factor demand subject to nonconvex adjustment costs and estimated by simulated method of moments based on norwegian manufacturing industry plant level data parameter estimates reveal cost advantages for adjusting capital and making net changes in labor simultaneously factor demand models with fully specified interrelated adjustment costs structures perform best to describe the dynamic panel data

the self selection of complexity in choice experiments we investigate whether individuals will voluntarily increase the complexity of the tasks they complete within a discrete choice experiment dce we do this via a self selection of complexity design in which respondents choose whether to face choice sets comprising 3 4 or 6 alternatives we link this approach with the emerging excessive choice effect ece literature we find that 30 of the sample opt for the largest sets we test whether this choice of complexity reveals information about respondents capability commitment we find that it does since those with lowest initial error variance levels are most likely to later select the highest level of task complexity we argue that this result offers insights regarding the design of more cognitively efficient dce designs we consider the matching of respondents to the appropriate level of task complexity as analogous to the principal agent problem with asymmetric information rather than trying to understand respondents cognitive capability or commitment ex ante we propose that participants self select designs that achieve the researcher s objective of minimizing error variance copyright 2012 oxford university press

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

designing choice sets for stated preference methods the effects of complexity on choice consistency abstract we vary the complexity of choice sets used in stated preference methods to evaluate the impact on choice consistency we define five measures of complexity that capture either the amount of information or the correlational structure of information in a choice set using these measures as randomly assigned treatments in a large experiment we analyze the consistency of respondents choices using a heteroskedastic multinomial logit model we find that i all of our measures of choice set complexity affect choice consistency ii changes in the correlational structure of information have the largest impact on choice consistency and iii choice complexity significantly distorts welfare estimates our results confirm economists initial worry that moving from contingent valuation to conjoint methods will increase complexity induced choice inconsistency however our analysis also shows that these negative impacts may be mitigated if precautions are taken at the design and estimation stages of stated preference methods

coaching team production coaching team production the actual function of managers is the subject of much debate using data on more than 3000 male college basketball players their coaches and their skill levels we find a positive and significant relation between our ability to replicate an individual coach s allocation of playing time across players and his winning percentage although this result does not answer the central question of just what it is that managers contribute the results do support the property rights paradigm managers are the employees of workers and more generally sports data can be used to help understand related economic processes where quantifiable measures of inputs and outputs are more costly to obtain what is meant by performance input energy initiative work attitude perspiration rate of exhaustion or output sometimes by inspecting a team member s input activity we can better judge his output effect it is not always the case that watching input activity is the only or best means of detecting measuring or monitoring output effects of each team member but in some cases it is a useful way i introduction a major tenet of the alchian demsetz 1972 representation of the firm is that managers are hired by workers to prevent shirking and malfeasance in their own ranks absent overseers individual workers bear only a fraction of the cost of shirking and hence everyone undersupplies labor relative to its opportunity cost in this world the managerial function is to monitor inputs and meter rewards thereby reducing the incentive to shirk and raising each worker s marginal productivity the more dependence there is in the marginal products of laborers the more important the role of management this view of supervision is simultaneously intuitively pleasing and difficult to quantify this paper investigates the role of management in a setting where indisputably there is team production intercollegiate basketball 1 data on 3012 college basketball players across ten years and sixty five teams are used to replicate one aspect of coaching the allocation of playing time next we attempt to link coaching decisions to winning the goal is to determine if coaches who manage well by our standards are successful section ii motivates the paper in section iii the empirical methodology is detailed the monitoring function is estimated and related to coaching success section iv contains a summary and conclusion ii coaching decisions the essence of team production is interdependence and the inherent immeasurability of marginal productivity across workers however this does not mean that proxies for marginal productivity cannot be developed managers monitor worker inputs and deduce marginal products accordingly of course some inputs are more cheaply quantified than others attitude is hard to measure but heart rate is easy sweat is observed cheaply but workers can feign exhaustion in the famous chinese boatpullers fable the coxswain uses his whip to insure that coolies pull efficiently to persuade each worker to give the appropriate effort 2 mcmanus 1975 341 relates a story told by cheung boats are pulled upstream by a team of coolies prodded by an overseer with a whip an american lady horrified at the sight of the overseer whipping the men as they strained at their harness demanded that something be done about the brutality she was quickly informed those men own the rights to draw boats over this stretch of water and they have hired the overseer and given him his duties here the monitor uses his vision intuition and experience to determine shirking counseling the loafers with his whip but employing subjective observation is just one way to monitor

rational choice under an imperfect ability to choose we consider an individual who lacks the information processing capacity required for a direct comparison of all feasible allocations instead of finding at once a best allocation the individual myopically adjusts his current allocation toward higher utility the individual makes adjustment errors inversely proportional to his ability to choose we compare the stationary state of this process with the standard model we see how an imperfect ability to choose modifies both positive and normative predictions of the standard model and how the standard model can be obtained from our more general one as the special case corresponding to perfect ability jel d 11

the neighbor effect simulating dynamics in consumer preferences for new vehicle technologies abstract understanding consumer behaviour is essential in designing policies that efficiently increase the uptake of clean technologies over the long run expert opinion or qualitative market analyses have tended to be the sources of this information however greater scrutiny on governments increasingly demands the use of reliable and credible evidence to support policy decisions while discrete choice research and modeling techniques have been applied to estimate consumer preferences for technologies these methods often assume static preferences this study builds on the application of discrete choice research and modeling to capture dynamics in consumer preferences we estimate canadians preferences for new vehicle technologies under different market assumptions using responses from two national surveys focused on hybrid gas electric vehicles and hydrogen fuel cell vehicles the results support the relevance of a range of vehicle attributes beyond the purchase price in shaping consumer preferences towards clean vehicle technologies they also corroborate our hypothesis that the degree of market penetration of clean vehicle technologies is an influence on people s preferences the neighbor effect finally our results provide behavioural parameters for the energy economy model cims which we use here to show the importance of including consumer preference dynamics when setting policies to encourage the uptake of clean technologies

impact of satisficing behavior in online surveys on consumer preference and welfare estimates conducting online surveys through consumer panels has become increasingly popular for researchers to assess consumers preferences and attitudes for the purpose of obtaining welfare estimates because they are inexpensive flexible and allow for fast feedback interestingly few studies have examined the behaviors of online survey panelists particularly their satisficing behaviors on welfare measures this study demonstrates the use of validation questions trap questions to detect survey respondents satisficing behavior and its impact on consumer choice willingness to pay wtp and consumer surplus cs estimates we find that respondents who fail a validation question vq are more likely to violate the weak axiom of revealed preferences warp in the choice experiment the estimates for preference parameters wtp and cs are statistically different between those who pass and those who fail the vq in addition the wtp and cs from respondents passing the vq in general have smaller variances than those from respondents failing the vq these results indicate that without controlling for potential satisficing behaviors online surveys may produce less efficient estimates estimates with larger variance of welfare measures

monitoring choice task attribute attendance in nonmarket valuation of multiple park management services does it matter land management in alpine parks provides multifunctional services to separate groups of users choice experiments can be used to derive estimates of value for different management attri butes however little research has been conducted on how frequently respondents ignore attributes used to describe policy management scenarios we fill this gap using an approach that identifies and compares both serial and choice task attribute nonattendance addressing five different visitor types our results indicate that accounting for choice task nonatten dance significantly improves model fit and yield estimates of marginal willingness to pay with a more plausible pattern of signs and greater efficiency jel q24 q51 i introduction the effects of park management policies on outdoor recreation are increasingly coming under public scrutiny alpine park land is among the most valuable land in terms of outdoor recreation park manage ment decisions are often controversial be cause of differences between objectives pursued by conservationists and the tourist industry parkland management agencies find it increasingly difficult to fund all the services needed to facilitate the ever broad ening variety of outdoor recreation activi ties this is further exacerbated by the increasing expectations for high quality recreational experiences by a population of recreationists with a heightened sensitivity to environmental and conservation issues such a situation widens the scope for multiattribute nonmarket valuation meth ods especially for those methods capable of capturing and modeling the preferences of heterogeneous visitors who seek to pursue a variety of activities in the land under study our research reports the results of a study designed to address attribute nonattendance henceforth abbreviated as an a which despite being quite a common decision heuristic has only recently begun to be explored by analysts with this decision heuristic respondents ignore some of the described attributes in their evaluation of alternatives within a given choice task they hence act as if a zero weight were assigned to the ignored attributes in the utility of the respective alternatives we study this issue by using a well known statistical model of discrete choice the multinomial logit mnl model this random utility model is often used for the purpose of multi attribute nonmarket valuation but the effects of accounting for an a are still rela tively unexplored information on an a is commonly collected by questioning each respondent at the end of the sequence of choice tasks respondents are asked to list those attributes that they feel they have

respondent experience and contingent valuation of environmental goods abstract respondent experience i e a respondent s information set has long been suspected to influence contingent valuation estimates of environmental values we assess the influence of experience by explicitly modeling the relationship between respondent experience and both fitted individual resource values and the conditional variance of these estimated values using three different joint specifications for experience and wtp normal censored normal poisson censored normal and zero inflated poisson censored normal we find discrete jumps in resource values as experience increases from zero and that more experienced respondents have smaller conditional variances simulation of arbitrary levels of experience allows standardization of the amount of information when developing welfare estimates

preference refinement in deliberative choice experiments for ecosystem service valuation choice experiments have gained considerable popularity in ecosystem service valuation in a one shot survey respondents are faced with a strenuous task asking them to discover and monetize their preferences for often unfamiliar ecosystem services in a previously unknown hypothetical market situation we present a deliberative choice experiment that aims to generate well rationalized value estimates for policy advice two aspects of deliberation discussion and time to reflect are examined in terms of their effect on preference refinement we find more comprehensive choice motives after deliberation as well as indications for preference adjustment and a slight increase in choice certainty jel q51 q57

labor and the market value of the firm what role does labor play in a firm s market value we explore this question using a production based asset pricing model with frictions in the adjustment of both capital and labor we posit that hiring of labor is akin to investment in capital and that the two interact with the interaction being a crucial determinant of the time series behavior of market value we use aggregate u s corporate sector data to estimate firms optimal hiring and investment decisions and the consequences for firms value the model generates a good fit of the data we decompose the estimated market value thereby quantifying the link between firms value and gross hiring flows employment gross investment flows and physical capital we find that a conventional specification quadratic adjustment costs for capital and no hiring costs performs poorly hiring and investment flows unlike employment and capital stocks are volatile and both are essential to account for market value volatility a key result is that firms value embodies the value of hiring and investment over and above the capital stock

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