state dependence and heterogeneity in fishing location choice to explore the distinction between state dependence and heterogeneity in repeated decisions this paper combines a mixed logit model with a state dependence parameterization from the marketing literature to study fishing location choices of commercial sea urchin divers in california it examines implications of ignoring either effect and finds in all cases that true state dependence is an important determinant of location choice consequently spatial policies like marine reserves can lead to differences in the short and long run behavioral responses of the fishing fleet under some specifications random preference parameters are statistically significant when state dependence is excluded from the model but when it is included random preference parameters are not significant in other specifications including state dependence only dampens the variability in preference parameters these results highlight the importance of gathering and analyzing diary type data for commercial fisheries as well as for similar choice problems in recreation demand

understanding heterogeneous preferences in random utility models a latent class approach a finite mixture approach toconditional logit models is developed in whichlatent classes are used to promoteunderstanding of systematic heterogeneity the model is applied to wilderness recreationin which a branded choice experiment involvingchoice of one park from a demand system wasadministered to a sample of recreationists the basis of membership in the classes orsegments in the sample involved attitudinalmeasures of motivations for taking a trip aswell as their stated preferences overwilderness park attributes the econometricanalysis suggested that four classes of peopleexist in the sample using the model toexamine welfare measures of some hypotheticalpolicy changes identified markedly differentwelfare effects than the standard singlesegment model and provided insight into thedifferential impact of alternative policies

controlling for observed and unobserved site characteristics in rum models of recreation demand hatch act and state of iowa the iowa department of natural resources and the u s environmental protection agency s science to achieve results star program grant r830818

temporal stability of stated preferences for endangered species protection from choice experiments abstract benefit transfer methods rely on past models and results so it is important to know whether economic values are stable over time or are subject to change either because of the reliability of the methodology or due to actual preference changes the temporal stability of willingness to pay wtp has been tested extensively for contingent valuation but rarely for stated preference choice experiments ce we use data from two identical ce surveys on different samples from the same population that occurred 17 months apart spring 2009 and fall 2010 to estimate and compare mean wtp and preference parameters associated with threatened and endangered marine species protection our models account for both preference and scale heterogeneity and the results suggest both types of heterogeneity matter tests of preference stability suggest stable preferences between 2009 and 2010 furthermore wtp values estimated from both surveys are not statistically different this provides evidence that economic values estimated using ce methods are temporally stable

the performance of nested logit models when welfare estimation is the goal in this paper we examine the performance of nested logit models in the face of two specification errors the first specification error arises when a nested logit model is appropriate but the wrong nesting structure is chosen the second specification error occurs when the underlying stochastic process is not consistent with nested logit particular attention is placed upon the impact that these errors can have on welfare predictions monte carlo experiments are used together with analytical results to examine the resulting bias to welfare estimates in addition we explore the value of alternative model selection criteria in choosing nesting structures

serial nonparticipation in repeated discrete choice models we consider alternative econometric strategies for addressing serial nonparticipation that is repeated choice of the same alternative or same type of alternative across a series of choice occasions in data typically analyzed within the repeated discrete choice framework single and double hurdle variants of the repeated discrete choice model are developed and applied to choice experiment and multisite seasonal recreation demand data our results suggest that hurdle models can generate significant improvements in statistical fit and qualitatively different policy implications particularly in choice experiment applications where the proper treatment of serial nonparticipation is relatively more ambiguous

separability partial demand systems and consumer s surplus measures abstract in practice complete demand systems are not estimated rather either an incomplete demand system is estimated or separability is invoked and a partial demand system is estimated this paper considers the relationship between the conventional compensating variation equivalent variation and the corresponding welfare measure that can be derived from a partial demand system and the current budget allocation to the separable group even assuming the separability assumption invoked is appropriate these partial measures provide in general only a limited amount of information about the compensating variation and no information about the equivalent variation great care is therefore needed when using partial welfare measures to evaluate policy

nonlinear income effects in random utility models random utility models rums are used in the literature to model consumer choices from among a discrete set of alternatives and they typically impose a constant marginal utility of income on individual preferences this assumption is driven partially by the difficulty of constructing welfare estimates in models with nonlinear income effects recently mcfadden 1995 developed an algorithm for computing these welfare impacts using a monte carlo markov chain simulator for generalized extreme value variates this paper investigates the empirical consequences of nonlinear rums in the case of sportfishing modal choice while refining and contrasting the available methods for welfare estimation

possibilities for including the opportunity cost of time in recreation demand systems recreation demand modelers have attempted to identify and incorporate the opportunity cost of an individual s time in travel and on site in the model larson 1993b focused on the value of leisure time in a model where individuals face a fixed work week in this paper we examine the connection between labor supply and recreation demands and focus on conditional demand systems we illustrate that corner solution models are not needed to explain several interesting time related recreation issues

two nested constant elasticity of substitution models of recreational participation and site choice an alternatives model and an expenditures model two demand modelsof recreational participation and s ite choice are developed an alternatives model and an expenditures model both assume maximization of utility over the year so allow for diminishing marginal utility they do not impose the restrictive assumption that where one goes on a trip isindependent of where one plansto go on other occas ions es timation iswith a nes ted constant elasticity of substitution preference ordering it is relatively easy to estimate because of global regularity it allowss itesto be complements and it hasthe potential to be locally flexible the application is to atlantic salmon fishing

spatial boundaries and choice set definition in a random utility model of recreation demand we are concerned with the definition of choice set used in random utility models of recreation demand in particular we are concerned with the spatial boundaries used to define choice sets in this paper using a model of day trip fishing in maine we examine the sensitivity of parameter and welfare estimates to changes in the spatial boundary we find that there exists some threshold distance beyond which adding more sites to the choice set has negligible effects on the estimation results

a repeated nested logit model of atlantic salmon fishing participation and site choice for atlantic salmon fishing are modeled in the context of a repeated three level nested logit model consumer s surplus measures are derived for different levels of species availability in the penobscot river the most important salmon river in new england for comparison six other travel cost models are estimated these include restrictive cases of the nested logit model a partial demand model and two single site demand models comparisons across these models indicate the importance of modeling the participation decision including income effects and of adopting a nested logit structure rather than a single level logit structure

the distributional impacts of recreational fees a discrete choice model with incomplete data in this manuscript we explore the consequences to different income groups of various policies to reduce overfishing in the gulf marine recreational fishery to do so we estimate a discrete choice model of marine recreational fishing demand allowing for incomplete data and a non constant marginal utility of income by allowing the marginal utility of income to vary across three categorical income groups our model allows us to explore the distributional consequences of various fee schemes and other policy programs that would change catch in the fishery we find that flat fees have a strong proportional effect on the participation of shore fishermen where low income anglers predominate and a relatively small impact on the expensive charter fishing mode we also find that the welfare consequences of declining catch rates would fall disproportionately on low income anglers jel q51 q22

testing benefits transfer of forest recreation values over a twenty year time horizon we conduct a functional benefit transfer over 20 years of total willingness to pay based on carborne forest recreation in 52 forests using a mixed logit specification of a random utility model and geographic information systems to allow heterogeneous preferences across the population and for heterogeneity over space results show that preferences for some forest attributes such as species diversity and age as well as transport mode have changed significantly over the period updating the transfer model with present total demand for recreation improves the error margins by an average of 282 average errors of the best transfer model remain 25

static modeling of dynamic recreation behavior implications for prediction and welfare estimation abstract this paper examines the consequences of using a static model of recreation trip taking behavior when the underlying decision problem is dynamic specifically we examine the implications for trip forecasting and welfare estimation using a panel dataset of lake michigan salmon anglers for the 1996 and 1997 fishing seasons we derive and estimate both a structural dynamic model using bellman s equation and a reduced form static model with trip probability expressions mimicking those of the dynamic model we illustrate an inherent identification problem in the reduced form model that creates biased welfare estimates and we discuss the general implications of this for the interpretation of preference parameters in static models we then use both models to simulate trip taking behavior and show that although their in sample trip forecasts are similar their welfare estimates and out of sample forecasts are quite different

annual fees and recreation choice models of recreation behavior have typically ignored the role of fixed annual fees such as the fee for a recreational license in determining choice and welfare we demonstrate how techniques from the literature on discrete continuous choice and two part tariffs can address a situation where fixed annual fees are essential to determining the choice of a recreation site we explore how accounting for value captured by fixed fees can influence the way resource changes are assessed

the demand for site specific recreational activities a characteristics approach abstract a model of constrained utility maximizing behavior is developed to explain how a representative individual allocates his ski days among alternative sites the physical characteristics of the ski areas and the individual s skiing ability are explicit arguments in the utility function the budget allocation is given along with the parametric costs to ski including travel costs entrance fees equipment costs and the opportunity cost of his time shares a site s share being the proportion of ski days that the individual spends at that site are derived and assumed multinomially distributed a stochastic specification which maintains the inherent properties of the shares maximum likelihood estimation confirms the basic hypothesis that costs ability and characteristics all are important determinants of the sites shares the model explains a large proportion of the skier s allocation of ski days a multinomial logit model of skier behavior is also developed and maximum likelihood estimates of its parameters are obtained examination of the summary statistics from my model and the logit model indicates that my model predicts the skier s choice of sites better than the logit model

modeling multiple objective recreation trips with choices over trip duration and alternative sites traditionally recreation demand studies have focused on single day single activity trips despite anecdotal and empirical evidence that many recreational trips involve overnight stays and multiple purposes this paper develops a random utility model that explores how visitors choose alternative sites and trip durations for multiple objective trips we focus on a recreational activity beach visits that appear to have significant proportions of the population taking single and multiple day trips and many of the multiple day trips involve multiple objectives multiple duration and multiple objective issues are incorporated in pricing trip costs the results of the research suggest that the accepted method for incorporating travel costs into random utility models can lead to biased estimates of the structural utility parameters and consequently biased measures of welfare in a multiple objective trip setting for single and multiple day users

a finite mixture logit model of recreational angling with serially correlated random utility this article examines two issues concerning the trip taking behavior of recreational anglers over the course of a season the first is whether the random component of trip utility is serially correlated across trip occasions the second is the heterogeneity of preferences among anglers recent research has examined heterogeneity among recreational trip takers using random parameters models in this article the population of anglers is instead cast as a collection of several subpopulations distinguished by angler preferences and the method of finite mixtures is used to identify these subpopulations copyright 2002 oxford university press

welfare losses due to livestock grazing on public lands a count data systemwide treatment backcountry hikers willingness to pay for removing grazing from trails in the hoover wilderness is analyzed using a multinomial dirichlet negative binomial distribution this multivariate discrete distribution allows the direct calculation of seasonal welfare measures that are derived from an incomplete demand specification the welfare maximizing choice of activities is examined on a trail by trail basis using the results of the analysis our findings suggest that a mix of hiking and grazing activities provide the greatest social welfare

measurement error in recreation demand models the joint estimation of participation site choice and site characteristics abstract in the demand for recreational fishing sites an important explanatory variable differentiating sites is the unobserved expected catch rate since the observed catch rate is subject to sampling variability using the average of a site s observed catch rates causes the parameter estimator on catch to be biased downward we develop and demonstrate a solution to this errors in variables problem when there are repeated measurements on the catch rate consistent and efficient estimates of both the demand parameters and the expected catch rates are obtained by simultaneously estimating them by maximum likelihood an empirical example demonstrates the importance of simultaneous estimation

convergent validity and the time consistency of preferences evidence from the iowa lakes recreation demand project we examine the consistency of preferences over time and as implied by revealed versus stated preference contingent behavior data studies in this area are typically based upon a single site and focus on consumer response to changes in travel cost or site access we use data from the iowa lakes project which provides information on usage patterns over several years and for 132 lakes along with detailed water quality data this allows us to test for convergence in how individuals respond to changing site characteristics as well as the consistency of preferences over time and between actual versus contingent trips

estimation and welfare analysis with large demand systems we develop an approach for estimating individual or household level preferences for a large set of quality differentiated goods and for constructing hicksian welfare measures within the demand system framework our approach uses a maximum simulated likelihood procedure to recover estimates of the structural parameters and a multistage monte carlo markov chain algorithm for constructing hicksian consumer surplus estimates we illustrate our approach with a recreation dataset consisting of day trips to 62 mid atlantic beaches

consumers preferences for fresh broccolis interactive effects between country of origin and organic labels while international trade in organic products has grown significantly understanding consumers preferences for imported organic foods has remained limited this research examines the impact of country of origin labeling on us consumers choices of organic foods results show that consumer valuation of domestically produced organic broccoli was significantly higher than that of imported organic broccoli adding information about usda organic certification standards rules for imported products mildly increases consumer valuation of imported organic broccoli in some cases these findings suggest that providing such information may have a positive impact on consumer willingness to purchase imported organic products

model uncertainty in characterizing recreation demand a bayesian variable selection procedure is used to control for uncertainty in the specification of a recreational demand model specifically we propose a model that draws on the bayesian paradigm to integrate the variable selection process into model estimation and to reflect the accompanying uncertainty about which is the best specification in subsequent counterfactual predictions the advantage of this procedure over previous non bayesian approaches is that it overcomes the problem of pre testing in specification searches in our application evaluating demand for recreational lake usage in iowa we find clear evidence that site attributes such as lakes size handicap facilities and wake restrictions do impact lake usage there is also evidence that water quality matters in household recreation choices indeed contrary to abidoye et al am j agricult econ 2012 in which only a single functional form is considered we find clear evidence that water quality matters with posterior probability of less that 10 associated with a model without any water quality variables this suggests that the flexibility that the bayesian variable selection model affords in capturing the linkage between recreation demand and site characteristics can be important

an empirical investigation of the consistency of nested logit models with utility maximization global conditions under which nested logit models are consistent with utility maximization are provided by daly and zachary and by mcfadden recently borsch supan and herriges and kling have provided conditions under which a nested logit model is locally consistent however previous work has not discussed implementation of these conditions here three alternative approaches to checking and formally testing for the consistency conditions using classical statistics are investigated in addition a bayesian approach to interpreting and imposing the local consistency conditions is provided the application is based on anglers choices regarding sportfishing alternatives in southern california

combining revealed preference data with stated preference data a latent class approach a substantial literature exists combining data from revealed preference rp and stated preference sp sources aimed either at testing for the convergent validity of the two approaches used in nonmarket valuation or as a means of drawing on their relative strengths to improve the ultimate estimates of value in doing so it is assumed that convergence of the two elicitation approaches is an all or nothing proposition i e the rp and sp data are either consistent with each other or they are not the purpose of this paper is to propose an alternative framework that allows for possible divergence among individuals in terms the consistency between their rp and sp responses in particular we suggest the use of a latent class approach to segment the population into two groups the first group has rp and sp responses that are internally consistent while the remaining group exhibits some form of inconsistent preferences an em algorithm is employed in an empirical application that draws on the alberta and saskatchewan moose hunting data sets used in earlier combined rp and sp exercises the empirical results suggest that somewhere between one third and one half the sample exhibits consistent preferences we also examine differences in welfare estimates drawn from the two classes

utility in willingness to pay space a tool to address confounding random scale effects in destination choice to the alps we compare two approaches for estimating the distribution of consumers willingness to pay wtp in discrete choice models the usual procedure is to estimate the distribution of the utility coefficients and then derive the distribution of wtp which is the ratio of coefficients the alternative is to estimate the distribution of wtp directly we apply both approaches to data on site choice in the alps we find that the alternative approach fits the data better reduces the incidence of exceedingly large estimated wtp values and provides the analyst with greater control in specifying and testing the distribution of wtp copyright 2008 oxford university press

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

scanner data and the measurement of inflation this paper outlines the potential use of bar code scanner data from retailers for the measurement of inflation the source benefits from its extensive coverage in providing data on prices quantities and values of transactions of each model of a good sold relative weights can thus be ascribed to price changes in both base and current months at a highly detailed level which allows us to estimate substitution bias methods of adjusting for quality changes can be considered the dummy variable hedonic approach is compared with a superlative exact hedonic approach and a matching technique akin to that used by statistical offices

menu costs firm strategy and price rigidity abstract after controlling for chain specific effects higher menu costs are associated with a slight decrease in the probability of a price change and an increase in the size of a price change firm strategy is more influential in determining the incidence and magnitude of a price change

inducing patterns of correlation and substitution in repeated logit models of recreation demand repeated logit models are among the most commonly applied methods for modeling seasonal recreation demand in this article we examine the capabilities of the repeated nested logit and repeated mixed logit models to capture patterns of error correlation and demand substitution particular attention is paid to the use of the mixed logit framework to generalize the strong assumptions on correlation patterns across sites and choice occasions imbedded in the nested logit model we examine the implications for the range of price elasticities allowed in both models based on the implied correlation structures copyright 2002 oxford university press

the opportunity cost of travel time as a noisy wage fraction few issues are more important to welfare estimation with recreation demand models than the specification of the opportunity cost of travel time the two most common approaches to specifying this cost treat it as a fixed fraction of the recreationist s wage and either estimate the fraction done infrequently or assume it takes some value done commonly with references to results from the commute time literature used to justify the latter however these approaches lack firm conceptual rationales and the consequences of using them are not fully understood recognizing that information limitations often preclude more general approaches we use a joint recreation travel labor supply model to show that under relatively modest assumptions the opportunity cost of travel time can be expressed as a wage fraction with noise this formulation is straightforward to implement as part of random parameters based recreation demand models we then evaluate the welfare consequences of using the two approaches noted above which are special cases of the noisy wage fraction specification our results suggest that the more critical restriction to relax in opportunity cost of travel time specifications is the absence of noise rather than the specific level of the wage fraction

calculating with income effects the compensating variation for a state change one can easily obtain exact closed form solutions for the compensating variation and equivalent variation in the presence of income effects when the policy being evaluated can be described as a change in the state of the world and one is willing to assume the policy change does not change the individual s epsilon draw alternatively if one assumes the policy changes the epsilon draw the expectation of the compensating variation is a complicated integral typically without a closed form the assumption that the policy does not affect one s epsilon draw is common and often reasonable but little discussed

the travel cost model for lake recreation a comparison of two methods for incorporating site quality and substitution effects this paper empirically illustrates how different assumptions regarding recreationists decision making behavior affect the predicted changes in recreational activity given a water quality improvement a multinomial logit model which reallocates visits away from other sites to the improved site predicts a smaller outward shift of the recreationist s demand curve than the more traditional travel cost model which does not assume any reallocation of visits among sites

a comparison of welfare estimates from four models for linking seasonal recreational trips to multinomial logit models of site choice we compare four methods of linking a site choice random utility model to a seasonal trip model the four approaches are those proposed by morey et al 1993 am j agric econom 75 578 592 hausman et al 1995 j public econom 56 1 30 parsons and kealy 1995 j environ econom management29 357 367 and feather et al 1995 j environ econom management29 214 227 we estimate the alternative models using a common data set and calculate a change in welfare for two policy scenarios across the models we find that there is little practical difference between the approaches of morey et al and hausman et al they are nearly the same mathematically and the welfare estimates in our empirical example are quite close the approaches of parsons and kealy and feather et al generated welfare estimates that were substantially different from the previous two approaches as well as from each other they also generated results that reveal the inconsistencies between their site choice and season trip models

the effect of nesting structure specification on welfare estimation in a random utility model of recreation demand an application to the demand for recreational fishing nested logit has become common in estimating random utility models of recreation demand because welfare analysis is often the objective of estimating these models it seems natural to ask what effect does the choice of nesting structure have on the welfare estimates generated by these models therefore we compare the results of nine nesting structures andfindthat the variation in welfare estimates across the models is not large our results are contrary to those of kling and thomson and shaw and ozog the difference appears to originate with differences in the estimated dissimilarity coefficients in the nested models

economic impacts of marine reserves the importance of spatial behavior abstract marine biologists have shown virtually unqualified support for managing fisheries with marine reserves signifying a new resource management paradigm that recognizes the importance of spatial processes in exploited systems most modeling of reserves employs simplifying assumptions about the behavior of fishermen in response to spatial closures we show that a realistic depiction of fishermen behavior dramatically alters the conclusions about reserves we develop estimate and calibrate an integrated bioeconomic model of the sea urchin fishery in northern california and use it to simulate reserve policies our behavioral model shows how economic incentives determine both participation and location choices of fishermen we compare simulations with behavioral response to biological modeling that presumes that effort is spatially uniform and unresponsive to economic incentives we demonstrate that optimistic conclusions about reserves may be an artifact of simplifying assumptions that ignore economic behavior

compensating variation and hicksian choice probabilities in random utility models that are nonlinear in income in this paper we discuss hicksian demand and compensating variation in the context of discrete choice we first derive hicksian choice probabilities and the distribution of the random expenditure function in the general case when the utilities are nonlinear in income we subsequently derive exact and simple formulae for the expenditure and choice probabilities under price policy changes conditional on the initial utility level this is of particular interest for welfare measurement because it enables the researcher to compute the distribution of compensating variation in a simple way we also derive formulae for the joint distribution of expenditure the choice before and after a policy change has been introduced

calibrating benefit function transfer to assess the conservation reserve program benefit transfer offers an inexpensive alternative to conducting an original study to determine economic value unfortunately benefit transfers can also result in biased welfare estimates in this paper we suggest a method of calibrating the benefit transfer to reduce this bias an empirical example to determine the benefits of the conservation reserve program on water based recreation illustrates the potentially large biases that can result if the transfer is not calibrated

recreation nonparticipation as choice behavior rather than statistical outcome in recreation demand models nonparticipation is usually estimated as the probability mass on zero demand given a positive level of expected demand and a discrete distribution of demand outcomes researchers have attempted to improve predictions of nonparticipation by modifying the parameters of the demand distribution this study departs from previous approaches by explicitly incorporating nonparticipation into the behavioral model the choice to participate is described by a distribution of preferences combined with a choke price on individual demands to distinguish participants from nonparticipants the model is found to accurately predict nonparticipation and the size of the user group copyright 2008 oxford university press

menu costs posted prices and multiproduct retailers we use a unique store level data set to directly measure menu costs and to study the price change process at a large u s drugstore chain we compare and contrast the magnitude of these measures with similar measures from four large u s supermarket chains we find that 1 the actual magnitude of menu costs as a share of revenues 2 menu costs per price change 3 the frequent use of promotional pricing and 4 the use of weekly pricing rules are similar across both retail formats given that the main common features of these two types of retail formats are that i they both use posted prices and ii both are multiproduct retailers selling a large number of products our findings suggest that the magnitude of the menu cost components we measure and the price change practices we document may be generalizable across retail formats with these two features

limiting environmental program contradictions a demand systems application to fishery management economically efficient natural resource policy requires the comprehensive management of environmental improvements over a system of sites use of multisite demand and benefit models can reduce the number and cost of environmental program contradictions in this paper we present a multisite demand model that incorporates several quality dimensions for a system of new mexico fishing sites use of the model permits managers to improve total welfare at lower cost by simultaneously distributing opportunity across all elements in resource users choice sets model results show that errors that result from independently adding values of interdependent program elements approach 50

the value of information in competitive bidding abstract we consider the situation where two players compete to obtain a valuable object e g a stand of timber in a competitive sealed bid environment prior to submitting a bid each player may sample the stand while incurring a common non zero cost for each observation on one hand a player wishes to take as few observations as possible due to the cost of collecting information however one also wishes to obtain as many observations as possible to avoid a bid that overstates the value of the resource given different assumptions on the sampling process the informational structure and underlying distribution of value we derive equilibrium bidding strategies we use these bidding strategies to solve for equilibrium in an information collection problem from the forest products industry

nonlinear income effects in random utility models revisiting the accuracy of the representative consumer approximation this article investigates the implications of nonlinear income effects in random utility models rum for measuring general equilibrium welfare impacts a popular approach in applied welfare analysis is to approximate the expected compensating variation cv for an amenity change as the cv of a representative consumer whose indirect utility is given by the expected maximum utility however this approach can be misleading in the case of nonmarginal changes as it implies that changes in income do not affect the consumer s choice in this case the true expected cv can be obtained via simulation empirical applications to recreational demand find that the bias from the representative approach is small this article re evaluates the accuracy of the representative consumer approximation in the context of measuring the general equilibrium welfare impacts of large environmental changes our findings suggest that though the representative consumer approximation could lead to biased point estimates of the expecte

a discrete choice model of recreational participation site choice and activity valuation when complete trip data are not available abstract a discrete choice model of the demand for site specific recreational activities is developed and estimated it simultaneously predicts both how many trips the individual will take and which site will be chosen on each trip the model is formulated to estimate demand when the data set reports the total number of trips in a given time period but the actual destinations for only a subset of the total the model also includes a correction for sample selectivity bias the application is marine recreational fishing the consumer s surplus associated with any change in supply conditions is derived and used to assess the impact of changes in species availability

the representative consumer approximation bias in discrete choice welfare analysis discrete choice welfare analysis is essential in non market valuation to accompany studies using choice experiments and recreation choice models mcfadden in melvin moore riezman eds trade theory and econometrics essays in honor of john s chipman routledge london 1999 shows that discrete choice welfare measures derived by the common representative consumer approach can be biased under nonlinear income effects and the percentage bias increases monotonically with the size of quality improvement we present contrary results that percentage measurement errors in such welfare measures can go either direction and provide conditions under which the direction of bias can be identified we also show that price and non price variables play different roles in discrete choice welfare analysis

accounting for stochastic shadow values of time in discrete choice recreation demand models abstract in this paper a discrete choice recreation demand model that explicitly accounts for a stochastic shadow value of time function is proposed using data from a survey of san diego beach users the stochastic shadow value of time labor supply and beach choice are jointly estimated results from this joint estimation approach are compared with the familiar two step approach that estimates labor supply first and uses predicted values of time in the recreational site choice model the approaches produce markedly different welfare measures with the two step model which does not account for unobserved variability of time values predicting significantly higher values a monte carlo simulation illustrates how ignoring the stochastic nature of shadow value of time in discrete choice recreation demand models can bias model parameters and hence welfare estimates

valuing water quality as a function of water quality measures employing a unique and rich data set of water quality attributes in conjunction with detailed household characteristics and trip information we develop a mixed logit model of recreational lake usage and undertake thorough model specification and fitting procedures to identify the best set of explanatory variables and their functional form for the estimated model our empirical analysis shows that individuals are responsive to the full set of water quality measures used by biologists to identify the impaired status of lakes thus changes in these quality measures are not simply a scientific exercise but they also translate into changes in the recreational usage patterns and well being of individual households willingness to pay wtp estimates are reported based on improvements in these physical measures

estimating recreation preferences using hedonic travel cost and random utility models over the last decade several authors have questioned the validity of the hedonic travel cost model arguing instead that the random utility model is a superior method for valuing recrea tional site attributes this paper demonstrates that the two methods emanate from a similar utility theoretic framework yet in practice these methods differ in the assumptions made in their appli cation constraining the underlying utility functions to be consistent both models are applied to the valuation of recreational site attributes in the southeastern united states the way in which each method estimates preferences for site attributes is shown to depend critically on the method and the functional form of the underlying utility function micro economic theory began as an attempt to describe predict and value the demand and supply of consumption goods quality was largely ignored in initial theoretical treatises goods were assumed to be homogeneous over the last two decades however economists have started to address quality within the theory of demand environmental economists have extended the theory further to value the quality of recreational sites an important component of land management two distinct approaches for incorporating quality into recreational analyses have emerged the hedonic travel cost method htc and the discrete choice random utility methods rum the hedonic method views site attributes as though they were individual goods which are bundled together in a single purchase the random utility model treats quality as an index which is estimated by examining a discrete choice of alternative sites facing a consumer because the mathematical derivations for the hedonic rosen 1974 and random utility models mcfadden 1978 are quite different many practitioners do not recognize that both models are based on a common utility theoretic foundation in the first section of this paper we show how the hedonic and random utility methods are consistent with the same utility framework

environmental quality preference and benefit estimation in multinomial probit models a simulation approach simulated maximum likelihood is used to estimate a random parameter multinomial probit model of destination choice for recreational fishing trips formulated to accommodate varying tastes and varying perceptions of environmental quality across individuals the restricted likelihood ratio test strongly rejects the independent probit model which is similar to the independent logit model in both the parameter and benefit estimates furthermore both the krinsky robb and bootstrapping procedures suggest that the benefit standard deviation of an environmental policy is found to be markedly lower higher when heterogeneous preferences are taken into account

deriving and testing efficient estimates of wtp distributions in destination choice models estimation of welfare measures is often a dominant driver in the empirical literature on nonmarket valuation to this end qualitative choice models based on random utility theory have been widely employed in outdoor recreation studies a frequent goal of applied studies has been the estimation of welfare changes associated with site attribute changes at recreation sites in order to inform regulatory policy and resource management we review the evolution of the methodology of random utility theory in this field with a focus on taste heterogeneity models and then focus on the recent proposal of specifying utility in the wtp space train k weeks m 2005 discrete choice models in preference space and willing to pay space in scarpa r alberini a eds applications of simulation methods in environmental and resource economics chapter 1 springer dordrecht pp 1 16 our empirical application is on outdoor alpine recreation data we emphasize the efficiency and direct testing that using the maximum simulated likelihood estimator affords to practitioners using the wtp space approach and illustrate these with examples

the magnitude of menu costs direct evidence from large u s supermarket chains we use store level data to document the exact process of changing prices and to directly measure menu costs at five multistore supermarket chains we show that changing prices in these establishments is a complex process requiring dozens of steps and a nontrivial amount of resources the menu costs average 105 887 year per store comprising 0 70 percent of revenues 35 2 percent of net margins and 0 52 price change these menu costs may be forming a barrier to price changes specifically 1 a supermarket chain facing higher menu costs due to item pricing laws that require a separate price tag on each item changes prices two and one half times less frequently than the other four chains 2 within this chain the prices of products exempt from the law are changed over three times more frequently than the products subject to the law in principle fixed costs of changing prices can be observed and measured in practice such costs take disparate forms in different firms and we have no data on their magnitude so the theory can be tested at best indirectly at worst not at all alan blinder 1991 p 90

the value of changes in deer season length an application of the nested multinomial logit model increasing deer populations can be controlled through manipulatingharvest limits or season length while such actions often result in benefitsto hunters both motorists and the agricultural sector also benefit as alower deer population leads to fewer incidences of harmful human deerencounters traditional recreation demand models are often employed toexamine the welfare implications of changes in daily hunting bag limits studies measuring the effects of changes in season length however arenoticeably absent from the literature this study uses a nested randomutility model to examine hunter choice over site and season selection toderive the values of changes in season length

a dynamic economy with costly price adjustments this paper studies a general equilibrium model of a dynamic economy with menu costs each firm s productivity is exposed to idiosyncratic and aggregate productivity shocks around a trend and the money supply to monetary shocks around a trend all consumption pricing and production decisions are based on optimizing behavior there exists a staggered markov perfect equilibrium with prices determined by a two sided s s markup strategy the paper analyzes the optimal markup strategy and investigates the dynamics of the price index and the aggregate output the welfare consequences of the uncertain aggregate productivity and money supply are also examined

a discrete choice equilibrium approach to valuing large environmental changes abstract this study develops a discrete choice locational equilibrium model to evaluate the benefits of the air quality improvements that occurred in the los angeles area following the 1990 clean air act amendments caaa the discrete choice equilibrium approach accounts for the fact that air quality improvements brought about by the 1990 caaa will change housing choices and prices the study also provides new evidence for the distributional welfare impacts of the 1990 caaa in the los angeles area findings suggest that the air quality improvements that occurred in the los angeles area between 1990 and 2000 provided substantial general equilibrium benefits to households the analysis reveals noticeable differences between partial and general equilibrium welfare gains demonstrating that ignoring equilibrium effects will likely misrepresent the benefits of large environmental changes in addition we find that the equilibrium welfare impacts of the 1990 caaa in the los angeles area varied significantly across income groups

the intuition behind income effects of price changes in discrete choice models and a simple method for measuring the compensating variation small and rosen s econometrica 49 1 105 130 1981 method for measuring consumer surplus using discrete choice models has been widely adopted in public policy analysis for the case of a price change the present paper elucidates five theoretical assumptions inherent within small and rosen s measure and employs indifference maps to demonstrate that this measure is only applicable to the context of a single discrete choice free of non linear income effects the paper argues that where non linear income effects are present the aforementioned theoretical assumptions should be relaxed and the consumption context revised from discrete choice to discrete continuous demand furthermore the paper proposes a simple analytical method for approximating the expected hicksian compensating variation in the presence of non linear income effects and compares the empirical performance of this method against existing methods using data from morey et al am j agric econ 75 3 578 592 1993 as well as offering a simple approximation the proposed method yields insights on the potential range of the compensating variation depending on the extent of switching between choice alternatives and on the attribution of the compensating variation to the relevant choice alternatives

auctions with resale markets an application to u s forest service timber sales when bidders anticipate an opportunity for resale trade the value of winning an auction is determined in part by the option values of buying and selling in the secondary market one implication is that a bidder s willingness to pay at an auction increases with the expected level of competition between resale buyers empirical evidence from auctions of timber contracts supports this prediction and rejects standard models that ignore resale the estimated effect is smaller after policy changes expected to diminish the prevalence of resale additional evidence supports the predicted presence of a common value element introduced by the resale opportunity

the state of the art of environmental valuation with discrete choice experiments abstract this paper provides with a review of the state of the art of environmental valuation with discrete choice experiments dces the growing body of literature on this field serves to emphasize the increasing role that dces are playing in environmental decision making in the last decade the paper attempts to cover the full process of undertaking a choice experiment including survey and experimental design econometric analysis of choice data and welfare analysis the research on this field is found to be intense although many challenges are put forward e g choice task complexity and cognitive effort experimental design preference and scale heterogeneity endogeneity or model uncertainty reviewing the state of the art of dces serves to draw attention to the main challenges that this methodological approach will need to overcome in the coming years and to identify the frontiers in discrete choice analysis

testing the consistency of nested logit models with utility maximization abstract this paper provides simple necessary conditions for testing the local consistency of nested logit models with stochastic utility maximization a graphical analysis illustrates the extent to which these conditions extend the range of admissible dissimilarity coefficients beyond the unit interval

effects on welfare measures of alternative means of accounting for preference heterogeneity in recreational demand models multiattribute revealed preference data are used to investigate heterogeneity in a sample of kayakers for a panel of whitewater sites in ireland this article focuses on a comparison of preference heterogeneity using a random parameter logit model with correlated tastes and a latent class model in terms of the implications for welfare measures of environmental quality and site access changes recreationalists skill levels are found to affect preferences in both approaches statistics for the estimated distribution of welfare changes for the average respondent are computed for changes in site attributes but contrary to previous work these are found to be of similar magnitude

sampling and aggregation issues in random utility model estimation measurement of nonmarket values often involves subjective judgments since these judgments may influence results they should be carefully considered i focus on an aspect of subjective choice relating to the estimation of random utility models such models require specification of each recreationalist s choice set whether an individual perceives his choice set as composed of all possible alternatives a few popular alternatives or collections of spatially aggregated alternatives is an important judgment affecting the conclusions

the length of stay in the demand for tourism abstract one of the main characteristics of current tourism is the reduction in the length of stay at a destination nevertheless this variable has received little attention in literature this paper examines the microeconomic determinants of the length of stay at one of the mediterranean s leading sun and sand destinations the estimation of a conditional demand function model highlights the explanatory power of the tourist s sociodemographic profile and of holiday characteristics as well as the sensitivity of the length of stay to price changes

recreation demand models with taste differences over people we estimate random parameter logit models of anglers choice of fishing site the models generalize logit by allowing coefficients to vary randomly over anglers rather than being fixed the models do not exhibit the restrictive independence from irrelevant alternatives property of logit and can represent any substitution pattern estimation explicitly accounts for the fact that the variation in coefficients over anglers induces correlation in unobserved utility over trips by the same angler willingness to pay for improved fish stock and the value to anglers of specific sites are calculated from the models and compared with the estimates obtained from a standard logit model

holiday price rigidity and cost of price adjustment the thanksgiving christmas holiday period is a major sales period for us retailers due to higher store traffic tasks such as restocking shelves handling customers questions and inquiries running cash registers cleaning and bagging become more urgent during holidays as a result the holiday period opportunity cost of price adjustment may increase dramatically for retail stores which should lead to greater price rigidity during holidays we test this prediction using weekly retail scanner price data from a major midwestern supermarket chain we find that indeed prices are more rigid during holiday periods than non holiday periods for example the econometric model we estimate suggests that the probability of a price change is lower during holiday periods even after accounting for cost changes moreover we find that the probability of a price change increases with the size of the cost change during both the holiday as well as non holiday periods we argue that these findings are best explained by higher price adjustment costs menu cost the retailers face during the holiday periods our data provides a natural experiment for studying variation in price rigidity because most aspects of market environment such as market structure industry concentration the nature of long term relationships contractual arrangements etc do not vary between holiday and nonholiday periods we therefore are able to rule out these commonly used alternative explanations for the price rigidity and conclude that the menu cost theory offers the best explanation for the holiday period price rigidity

price rigidities and market structure conventional wisdom has it that a large part of the explanation of keynesian unemployment is the observed rigidities of wages and prices what has been lacking however is a satisfactory theory or conjunction of theories which explains how wages and prices can be at non market clearing levels the objective of this paper is to sketch out several alternative theoretical explanations of this phenomenon each in contrast with keynesian theory is consistent with the observation that as the economy goes into a recession real product wages do not increase and may in fact decrease all of the theories assume rational profit maximizing firms and all entail some important departure from the standard competitive paradigm the first three explanations represent minor adaptations of standard models

modeling overnight recreation trip choice application of a repeated nested multinomial logit model in this paper we apply the repeated nested multinomial logit model a version of a random utility model rum to estimate the choice of an overnight versus single day recreation trip along with the other usual choice of which of the sites to visit and less typically the choice of whether to participate in our application to fish at all we also find statistically significant income effects in the empirical results the application is to atlantic salmon fishing and the data set is for maine resident angler s fishing trips to rivers in maine and canada

the relationship between the income elasticities of demand and willingness to pay abstract the relationship between income and willingness to pay for collectively provided public environmental goods is investigated we show that while the income elasticity of willingness to pay and the ordinary income elasticity of demand are related knowledge of one is insufficient to determine the magnitude or even the sign of the other the income elasticity of willingness to pay is influenced by additional factors which are generally unobservable examples are provided to illustrate the degree to which the two income elasticities may diverge our results indicate that even when goods are demand luxuries they may or may not have income elasticities of willingness to pay which are greater than one

what is new keynesian economics this research was supported by the national science foundation i am grateful to george williams for help with the data and to steven allen laurence ball olivier j blanchard timothy bresnahan charles calomiris dennis carlton robert chirinko russell cooper stanley fischer herschel grossman r glenn hubbard david laidler john leahy assar lindbeck n gregory mankiw david romer julio rotemberg dennis snower john taylor andrew weiss and two anonymous referees for comments on one or more earlier drafts i am also indebted to michael parkin and edmund s phelps for helping to establish the etymology of the phrase new keynesian

brand choice and purchase frequency revisited an application to recreation behavior the role that total purchases play in determining the choice among brands has been considered in microeconomic theory for quite some time but for traditional goods only consumption of outdoor recreation is an unusual good most often measured using an individual s recreational trip adding the trips made on a number of choice occasions seems the obvious way to aggregate this good but doing so leads to several problems in defining a meaningful price index the hicks leontief conditions for aggregation suggest that trips to destinations may be thought of as brand choices on consumption occasions andthe continuous analogue to total purchases may in fact be the individual s total travel an empirical example of the model is used to estimate welfare impacts for a group of anglers

narrow choice sets in a random utility model of recreation demand we consider the implications of narrow choice sets on welfare estimation in a random utility model of recreation demand we hypothesize that careful formulation of the choice set focusing on the sites of policy interest and their closest substitutes will give reasonably accurate welfare estimates we use nearby sites as close substitutes and treat more distant sites as aggregate alternatives in our application to fishing in maine we find that the welfare estimates are rather sensitive to narrowing choice sets in this manner the sensitivity largely tracts variation in the estimated travel cost coefficient across the different models considered

incomplete information high low bidding and public information in first price auctions high low bidding refers to auctions of a series of objects where for a subset of the auctioned objects one of two buyers bids high on some objects and low on others while the other buyer does the reverse this paper shows that high low bidding does not imply collusive behavior among buyers in particular through a formal modeling of a noncooperative game of information acquisition and bidding decisions it shows that high low bidding can be obtained the paper also demonstrates that if the cost of information to a seller is less than the equilibrium joint expected information cost of the buyers then it pays the seller to provide public information finally if the provision of public information is not feasible but a seller can know whether buyers have acquired information then it pays the seller to make known to the buyers and to pursue a policy that just prior to the start of an auction the seller will announce which buyer has acquired information