theoretical and empirical advantages of truncated count data estimators for analysis of deer hunting in california truncated poisson and truncated negative binomial count data models as well as standard count data models ols nonlinear normal and truncated nonlinear normal mle were used to estimate demand for deer hunting in california the truncated count data estimators and their properties are reviewed a large sample n 2223 allowed random segmenting of the data into specification estimation and out of sample prediction portions statistics of interest are therefore unbiased by the specification search and the prediction results allow comparison of the statistical models robustness the new estimators are found to be more appropriate for estimating and predicting demand and social benefits than the alternative estimators based on a variety of criteria

a path dependent contingent claims approach to capacity investments this note presents a contingent claims approach to strategic capacity planning we develop models for capacity choice and expansion decisions in a single firm environment where investment is irreversible and demand is uncertain these models illustrate specifically the relevance of path dependent options analysis to planning capacity investments when the firm adopts demand tracking or average capacity strategies it is argued that asian average type real options can explain hysteresis phenomena in addition to providing superior control of assets in place

a utility consistent combined discrete choice and count data model assessing recreational use losses due to natural resource damage abstract a two stage budgeting approach can often be taken when analyzing consumer choice situations in this paper we examine the particular situation where a consumer makes purchases of a discrete commodity of which there are a number of brands in the first stage the consumer decides how many purchases to make in the second stage the consumer decides how to allocate these purchases across brands our econometric approach to this type of situation uses a utility consistent combined discrete choice and count data model the second stage which is specified as a multinomial choice model produces a price index for the commodity which is used to estimate the first stage which is specified as a count data model we apply the model to recreational demand behavior in alaska in order to estimate the welfare losses suffered by recreational users due to the exxon valdez oil spill these results may provide useful input to government agencies attempting to estimate the appropriate level of taxes fines or regulations for deterring damage to the environment

recent advances in the valuation of ecosystem services and biodiversity recent interest in the economics of biodiversity and wider ecosystem services has been given empirical expression through a focus upon economic valuation this emphasis has been prompted by a growing recognition that the benefits and opportunity costs associated with such services are frequently given cursory consideration in policy analyses or even completely ignored the valuation of biodiversity and ecosystem services is therefore increasingly seen as a crucial element of robust decision making and this has been reflected in a growing body of related research we provide a critical review of some of this research considering the valuation methods applied to date and focussing upon their limitations in respect to certain categories of ecosystem services particularly cultural services and the applicability of the extant literature to new settings substantial questions also remain at the interface of natural science and economics and we consider the potential contribution of the conceptualization of ecosystems as assets as a response to this challenge as part of this review we also highlight the role which large scale ecosystem assessments have played as an impetus to extending the valuation evidence base and the way in which frameworks and assessments of how ecosystems contribute to human wellbeing might be translated into policy thinking and decision analyses

modeling recreation site choice do hypothetical choices reflect actual behavior we examine the ability of revealed preference rp site specific stated preference sp transferred sp and joint rp sp models to predict aggregate and individual recreation site choice in a holdout sample for two statistical comparisons the rp model provided the most accurate predictions of individual choices however the transferred sp model applied directly or estimated jointly with the rp data performed best in three aggregate and one individual prediction test these findings suggest that data from well designed and conducted sp surveys from one site can be combined with site specific rp data from another site to generate improved models of recreation site choice an objective of many economic studies is to construct models of choice behavior these models form the basis for welfare mea surement the models can also be used to make predictions of choice behavior that can inform policy makers of the proba ble results of changes in economic fac tors resource

evaluating natural resource investments notwithstanding impressive advances in the theory of finance over the past 2 decades practical procedures for capital budgeting have evolved only slowly the standard technique which has remained unchanged in essentials since it was originally proposed see dean 1951 bierman and smidt 1960 derives from a simple adaptation of the fisher 1907 model of valuation under certainty under this technique expected cash flows from an investment project are discounted at a rate deemed appropriate to their risk and the resulting present value is compared with the cost of the project this standard textbook technique reflects modern theoretical developments only insofar as estimates of the discount rate may be obtained from crude application of single period asset pricing theory but see brennan 1973 bogue and roll 1974 turnbull 1977 constantinides 1978 the inadequacy of this approach to capital budgeting is widely acknowledged although not widely discussed its obvious deficiency is its the evaluation of mining and other natural resource projects is made particularly difficult by the high degree of uncertainty attaching to output prices it is shown that the techniques of continuous time arbitrage and stochastic control theory may be used not only to value such projects but also to determine the optimal policies for developing managing and abandoning them the approach may be adapted to a wide variety of contexts outside the natural resource sector where uncertainty about future project revenues is a paramount concern

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

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

when and how much to invest investment and capacity choice under product life cycle uncertainty abstract while empirical research indicates that innovations typically follow a product life cycle that is subject to uncertainty in many industries endless cash flow growth is still at the heart of most papers guiding investment decisions under uncertainty this paper studies the effect of an uncertain technological life cycle on the decision to invest in new product introduction taking into account the combined effects of flexible investment timing and optimal capacity choice based on a numerical example referring to investment decisions in facilities for the production of electric vehicle batteries we find that the optimal investment threshold follows an s curve over the product life cycle and derive the optimal capacity choice for the given investment decision

a problem with consumer surplus measures of the cost of practice variations abstract estimates of the surplus loss due to physician practice variation measure the area under the shifted demand curve this method is valid only if the unshifted demand curve is derived from the distribution of true ex post values of care if the unshifted demand curve does not reflect the true value of care then the traditional methods of measuring surplus loss can be seriously biased

valuing flexibility as a complex option this paper develops an approach for valuing flexible production systems using contingent claims pricing demand curves for our model s underlying assets output products may be downward sloping in contrast with the standard option pricing assumption also our marginal production exercise costs may be increasing in addition we allow for multiple products and a production capacity constraint these elements of the model result in complex exercise decisions for the contingent claims which comprise the production system s value we illustrate our approach by valuing a flexible system that produces two products which have profit margin functions with stochastic parameters

estimating social welfare using count data models an application to long run recreation demand under conditions of endogenous stratification and truncation this paper develops a negative binomial model of recreation demand that corrects for both truncation and endogenous stratification this approach recovers the demand associated with the general population not just the users of the site this model demonstrates the importance of the joint nature of the population s latent demand for trips and the consumer surplus associated with those trips the empirical results provide an estimate of the willingness to pay by washington state residents for hiking opportunities in the cascade mountain range these results are used to forecast total trips and willingness to pay over the next forty years copyright 1995 by mit press

fixed versus flexible production systems a real options analysis in this work we address investment decisions in production systems by using real options as is standard in literature the stochastic variable is assumed to be normally distributed and then approximated by a binomial distribution resulting in a binomial lattice the methodology establishes a discrete valued lattice of possible future values of the underlying stochastic variable demand in our case and then computes the project value we have developed and implemented stochastic dynamic programming models both for fixed and flexible capacity systems in the former case we consider three standard options the option to postpone investment the option to abandon investment and the option to temporarily shut down production for the latter case we introduce the option of corrective action in terms of production capacity that the management can take during the project by considering the existence of one of the following i a capacity expansion option ii a capacity contraction option or iii an option considering both expansion and contraction the full flexible capacity model where both the contraction and expansion options exist leads as expected to a better project predicted value and thus investment policy however we have also found that the capacity strategy obtained from the flexible capacity model when applied to specific demand data series often does not lead to a better investment decision this might seem surprising at first but it can be explained by the inaccuracy of the binomial model the binomial model tends to undervalue future decreases in the stochastic variable demand while at the same time tending to overvalue an increase in future demand values

health insurance and the demand for medical care evidence from a randomized experiment we estimate how cost sharing the portion of the bill the patient pays affects the demand for medical services the data come from a randomized experiment a catastrophic insurance plan reduces expenditures 31 percent relative to zero out of pocket price the price elasticity is approximately 0 2 we reject the hypothesis that less favorable coverage of outpatient services increases total expenditure for example by deterring preventive care or inducing hospitalization

the economics of moral hazard revisited pauly s 1968 pauly m 1968 the economics of moral hazard comment american economic review 58 531 537 analysis of the welfare loss from insurance assumes that medical care consumption is not determined by income but recent studies suggest it is this study argues that 1 pauly s analysis overstates the welfare loss because it includes the effect of income on consumption 2 the relevant income effect is derived from income transfer from the healthy to the ill that occur when the probability of illness is less than 1 and 3 the welfare loss can be considered the transaction cost of insurance

count data models and the problem of zeros in recreation demand analysis in this paper we develop a count data model for consumer demand which explicitly allows for a large number of zero observations for the dependent variable and separation of the participation versus quantity decisions the advantages of the model over traditional censored and count demand models are brought out and the appropriate consumer surplus measures are derived by introducing a random error term into the traditional count model demand function the appropriate measure of expected consumer surplus for count models is derived the model is illustrated using a recreational survey of the general population

revisiting corporate growth options in the presence of state dependent cashflow risk abstract given a non trivial market price of risk we study the impact of state dependent cashflow risk on the optimal investment policy and on the ensuing value of an unlevered firm that holds the option of scaling up cashflows from its assets in place upon incurring an irreversible cost the firm s investment decision and value are studied as a function of the market price of risk and of the degree of state dependence in cashflow risk

evaluating the performance of benefit transfer an empirical inquiry abstract benefit transfers are used by public agencies needing information on costs and benefits of policy decisions although scientific debate regarding the validity of benefit transfer is ongoing this article develops a methodology to evaluate the performance of direct benefit transfer and benefit function transfer and applies the methodology to two pairs of similar non market amenities empirical results indicate that benefit function transfer is more robust than transfer of average site benefits our results suggest that the circumstances under which benefit function transfer provides valid policy relevant information may be limited and that errors from applying benefit transfer can be quite large even across seemingly similar amenities

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

option value uncertainty and the investment decision the options based approach to studying irreversible investment under uncertainty emphasizes that the opportunity cost of investment includes the value of the option to wait that is extinguished when an investment is undertaken thus the investment decision is affected by the determinants of the value of this option we extend and generalize a standard model of irreversible investment by introducing a second fully reversible technology and also incorporate partial reversibility by allowing capital to be abandoned at a cost as in the existing literature we find that the threshold value of the underlying asset in our case demand at which investment takes place is increasing in the uncertainty of demand we also find that the value of the option and thus the threshold value of the option value multiple at which investment takes place may be either increasing or decreasing in the uncertainty of demand in addition we find that for the case in which capital is used to replace the reversible technology the threshold value of the option value multiple is insensitive to the degree of reversibility of capital

moose hunting values in sweden now and two decades ago the swedish hunters revisited this paper is based on two national contingent valuation studies dealing with the extent and economic values of hunting in sweden the first valuation study was conducted in 1987 and the second in 2006 both the game resource and the hunter community have undergone changes in the two decades covered by the surveys an important purpose of the latter survey was to repeat relevant parts of the former one which created a rare opportunity to compare valuations covering a very long time span moose hunting value and its determinants were compared between the two studies showing that significant changes have taken place our analysis suggests caution in using results from old contingent valuation studies for e g benefits transfer exercises

environmental value transfer state of the art and future prospects abstract the main objectives of the paper are to 1 give an overview of the state of the art of environmental value transfer 2 discuss its prospects and potential role in cba as a decision support tool and 3 provide further guidelines for proper use and application environmental value or benefit transfer is a technique in which the results of studies on monetary environmental valuation are applied to new policy contexts the technique is controversial not least because of academic and political reservations over the usefulness and technical feasibility of economic valuation tools to demonstrate the importance of environmental values in project or programme appraisals testing of environmental value transfer so far has been unable to validate the practice taking into account the conditions set out in the literature for valid and reliable value transfer most transfers appear to result in substantial transfer errors this paper discusses why and addresses the question of which factors may have been overlooked it is argued that the problem is much more fundamental than previously acknowledged strict guidelines in terms of quantitative adjustment mechanisms to valid value transfer are meaningless if the more fundamental issue of differences in the very nature of the values elicited is not addressed at the same time

uncertainty and stepwise investment we analyze the optimal investment strategy of a firm that can complete a project either in one stage at a single freely chosen time point or in incremental steps at distinct time points the presence of economies of scale gives rise to the following trade off lumpy investment has a lower total cost but stepwise investment gives more flexibility by letting the firm choose the timing individually for each stage our main question is how uncertainty in market development affects this trade off the answer is unambiguous and in contrast with a conventional real options intuition higher uncertainty makes the single stage investment more attractive relative to the more flexible stepwise investment strategy

spatial transferability of hedonic house price functions mcarthur d p osland l and thorsen i spatial transferability of hedonic house price functions regional studies the aim of this paper is to investigate whether it is possible to use parameter estimates from a hedonic function estimated in one region to make reliable predictions in another region two regions in south west norway are taken as the example focus is placed on the stability and transferability of parameters attached to two measures of spatial structure proximity to the central business district cbd and accessibility to the labour market in making this judgement classical statistical tests are employed alongside equivalence testing the conclusions are that predictions made using transferred spatial structure parameters were equivalent given the chosen tolerance level mcarthur d p osland l et thorsen i la transferabilite geographique des fonctions hedoniques des prix du logement regional studies cet article cherche a examiner si oui ou non on peut employer des estimations p

a discrete count model of recreational demand abstract discrete choice models generate welfare measures resulting from environmental quality changes on a per trip basis instead of over a longer more policy relevant time period seasonal or annual welfare measures resulting from a quality change are often computed by multiplying each individual s per trip welfare measure by the number of trips the individual is forecasted to take at the new quality level these models are typically formulated so that increases in the quality of any site causes every individual to increase his or her participation this paper presents an alternative method of linking the discrete choice model to a demand model enabling welfare changes to be estimated in a conventional manner

an alternative framework for evaluating welfare losses in the health care market a recurring theme in the health economics literature is that excess health insurance reduces society s welfare this proposition is considered to be a truism by most health economists feldman and morrisey 1990 report that two thirds of american and canadian health economists surveyed agree with the statement that the level and type of health insurance held by most u s families generate substantial welfare loss due to over consumption of medical services consequently most research in the area has attempted to identify the exact dollar value of this welfare loss in this note i will try to show that the traditional method of calculating welfare losses from excess health insurance is severely flawed because it is based on assumptions about consumer behavior that are not supported by the available empirical evidence furthermore the methodology masks other potentially greater societal welfare losses that are likely to exist in the health care sector and blinds us from seeking the most effective public policy remedies this note suggests an alternative framework for considering welfare losses based on researchers evaluations of medical necessity

capacity choice under uncertainty in a duopoly with endogenous exit abstract applying the real options framework this article investigates the investment decision of the entrant given that an incumbent is already active both firms have an option to exit this market if the demand level falls too low the combination of three decision components capacity choice entry and exit timing results into multiple trigger strategies for the entrant in particular in the presence of a large incumbent it can either choose to coexist with its rival in a duopoly or eventually monopolize the market by installing a sufficiently large capacity the former scenario is realized when the market is large while the latter occurs when the market is small when the market is of intermediate size a hysteresis region emerges where the entrant does not take any actions and prefers to postpone investment

flexible waste management under uncertainty in this paper we use stochastic dynamic programming to model the choice of a municipality which has to design an optimal waste management program under uncertainty about the price of recyclables in the secondary market the municipality can by undertaking an irreversible investment adopt a flexible program which integrates the existing landfill strategy with recycling keeping the option to switch back to landfilling if profitable we determine the optimal share of waste to be recycled and the optimal timing for the investment in such a flexible program we find that adopting a flexible program rather than a non flexible one the municipality i invests in recycling capacity under circumstances where it would not do so otherwise ii invests earlier and iii benefits from a higher expected net present value c 2013 elsevier b v all rights reserved less

investments in flexible production capacity abstract we examine the technology and capacity choice problem of a multi output firm facing stochastic demands in a continuous time framework the firm can install output specific capital or at greater cost flexible capital that can be used to produce different outputs investment is irreversible the firm must choose a technology and decide how much capital to install knowing it can add more later as demand evolves we formulate the capacity choice problem as a singular stochastic control problem show that the value of the firm equals the value of its installed capital plus the value of its options to add capacity in the future and derive an optimal investment rule that maximizes the firm s market value we also address the analogous problem for a multi input firm that faces stochastically evolving factor costs and can install input specific or flexible capital

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

real options and product life cycles in this paper i develop an option valuation framework that explicitly incorporates a product life cycle i then use the framework to value the real option to change a project s capacity standard techniques for valuing real options typically ignore product life cycle models and specify instead a constant expected growth rate for demand or price i show that this specification can lead to significant error in the valuation of capacity options in particular the standard technique tends to undervalue the option to contract capacity and overvalue the option to expand capacity this result has important implications for capital investment decisions especially in high technology industries that feature regular introductions of newly improved products

time to build option value and investment decisions abstract investment decisions and outlays are often made sequentially for example the rate at which construction proceeds is usually flexible and can be adjusted with the arrival of new information traditional discounted cash flow methods which treat the pattern of investment as fixed ignore this flexibility and understate the value of the project this paper uses contingent claims analysis to derive optimal decision rules and to value such investments we determine the effects of time to build opportunity cost and uncertainty on the investment decision for reasonable parameter values we show how a simple npv rule can lead to gross errors

test retest reliability of the contingent valuation method a comparison of general population and visitor responses the reliability of the contingent valuation method is evaluated by resurveying the same general households and visitors nine months after their original survey test retest correlations on willingness to pay are statistically significant and ranged from 422 for the general population sample to 782 for the visitor sample using a paired t test there was no statistical difference between an individual s first and second reported willingness to pay chow tests comparing the original and resurvey willingness to pay functions showed no statistical difference at the 01 level reported willingness to pay is reasonably stable over the time period surveyed

evaluating welfare losses in the health care market according to traditional welfare analysis consumers facing a price increase forego consumption of the least valued units of a commodity studies such as the rand hie show that patients decrease their consumption of all types of health care when faced with a price increase for health care from this observation thomas rice 1992 concludes that traditional welfare analysis is inadequate for evaluating insurance related welfare losses in health care in this note i argue that it is not traditional welfare analysis which is inadequate but the method of assigning marginal valuations to units of health care

a demand theory for number of trips in a random utility model of recreation we present a simple random utility model of recreation site choice that incorporates an aggregate demand function for number of trips during a season we derive the trip demand function using conventional demand theory and use it to calculate seasonal welfare changes due to improvements in site characteristics or addition of new sites the model is based on bockstael et al s participation function