optimal investments in power generation under centralized and decentralized decision making this work presents a novel model for optimization of investments in new power generation under uncertainty the model can calculate optimal investment strategies under both centralized social welfare and decentralized profit objectives the power market is represented with linear supply and demand curves a stochastic dynamic programming algorithm is used to solve the investment problem where uncertainty in demand is represented as a discrete markov chain the stochastic dynamic model allows us to evaluate investment projects in new base and peak load power generation as real options and determine optimal timing of the investments in a case study we use the model to compare optimal investment strategies under centralized and decentralized decision making a number of interesting results follow by varying the assumptions about market structure and price response on the demand side

multivariate count data regression models with individual panel data from an on site sample the purpose of this paper is to consider the problem of controlling for on site sampling in the context of a system or panel of demand equations specifically in the context of recreation demand we are concerned with the situation in which survey respondents are asked to provide information not only about the actual trips to a specific site observed behavior but also their anticipated trips either under current conditions or given price and quality changes a multivariate poisson log normal mpln model and a seemingly unrelated negative binomial sunb model are used to jointly model the observed and contingent behavior data and to correct for on site sampling

generalized travel cost model and water quality benefits a reconsideration with federal agencies required to conduct benefit cost analyses for each new major regulation analyses of water quality changes are likely to be an increasingly important part of the policymaking process a revised version of the travel cost demand model and illustrations show the importance of these revisions for the model s estimates although the magnitude of the difference in benefit estimates between the original and new versions of the model varies with the specific recreation site selected the findings indicate that the original model generally implied estimated benefits from three to over 30 times as large as the revised model this implies that judgment can play an important role in the definition and use of economic models as well as the need for better information on households recreation decisions and more complete description of recreation site characteristics 15 references 4 tables

criteria of external sustainability abstract this paper examines the problem of assessing external sustainability that is determining whether present paths of external imbalance can continue indefinitely conditional on present policies being maintained the main contribution of the analysis is to show how conditional forecasts of external imbalance may be generated in a consistent way that explicitly incorporates a mechanism for achieving sustainability an index of external unsustainability is derived that reflects the probability of future changes in policy expected by private agents over time

the dual structure of incomplete demand systems integrability of incomplete demand systems is discussed the concepts of weak integrability quasi expenditure function quasi indirect utility function and quasi utility function are defined their relationships to the expenditure function indirect utility function and utility function are developed the dual structure of the quasi functions permits exact welfare analysis and reveals the conditional preference structure for the commodities of interest new results relating the uniqueness and exactness of consumer s surplus to the structure of the expenditure and indirect utility functions are obtained

a panel travel cost model accounting for endogenous stratification and truncation a latent class approach in this paper we develop a panel data negative binomial count model that corrects for endogenous stratification and truncation we also incorporate a latent class structure into our panel specification which assumes that the observations are drawn from a finite number of segments where the distributions differ in the intercept and the coefficients of the explanatory variables the paper argues that count data panel models corrected for on site sampling may still be inadequate and potentially misleading if the population of interest is heterogeneous with respect to the impact of the chosen explanatory variables jel q51 q57

testing the validity of contingent behavior trip responses while a number of validity tests exist for contingent valuation data to date there are very few literature examples for contingent behavior cb data the objective of this study is to test the validity of cb trip data for different levels of rock climbing access using data from surveys implemented before and after a policy restricting recreational access was imposed results from generalized negative binomial and seemingly unrelated poisson regression models show significant sensitivity to scope and suggest that cb data may be a valuable supplement to revealed preference data when policy proposals are outside the range of historical conditions copyright 2002 oxford university press

investigation of stated and revealed preferences for an elk hunting raffle the charter forest experiment at the valles caldera national preserve vcnp in new mexico provides land managers policymakers and researchers a unique opportunity to examine an alternative public land management institution the vcnp mature bull elk permit lottery has been the largest revenue generating recreation program at the preserve since the program s inception in 2002 this paper uses stated and revealed preference ticket purchase data collected through an online survey to estimate a set of ticket demand equations for the purpose of assessing revenue generation access and the willingness to donate to this program

policy evaluation with combined actual and contingent response data the city of marietta georgia experimentally switched from flat fee financing to volume based pricing for its trash services in january 1994 both before and during the experiment detailed data on individuals observed responses to the actual introduction and contingent behavioral responses to a hypothetical introduction of volume based pricing were collected this study applies these data and investigates the methodology of collecting contingent behavior data and their use in policy analysis in particular this study empirically evaluates the effect of experience with the policy on responses to contingent behavior questions and tests for potential bias in the contingent behavior data

combining contingent valuation and travel cost data for the valuation of non market goods the travel cost method tcm has long been used to infer the economic value of nonmarket resources and public goods more recently contingent valuation cvm survey methods have gained popularity for eliciting these values here cvm survey responses are combined with tcm data on actual market behavior to estimate jointly both the parameters of the underlying utility function and its corresponding ordinary demand function this is a prototypical empirical example of a new modeling strategy variants of which should prove useful in many applications especially where reliance on a single valuation method is undesirable

estimating the demand for a new technology bt cotton and insecticide policies this article examines the potential demand for bt cotton in the southeast from information gathered in the first year of commercialization we combine revealed preference rp data on adoption of bt cotton varieties with stated preference sp data on willingness to adopt to estimate demand using a double bounded maximum likelihood procedure using estimated demand equations we simulate the costs of reducing conventional insecticide applications through subsidization of bt cotton results indicate that reducing cotton insecticide applications by 40 in the southeast would require a 21 acre subsidy with total annual program costs between 53 million and 60 million

exchange rate volatility international trade and resource allocation a perspective on recent research abstract recent research on the effects of exchange rate volatility is discussed and directions for future research are explored the need to pay more attention to the effects of diversification and firms characteristic is emphasized it is suggested that while international risk has risen substantially since floating the differential between international and domestic risk may not this could help explain the failure of international trade to fall drastically and suggests that exchange rate volatility has been more a reflection than an independent cause of underlying instability

the individual travel cost method with consumer specific values of travel time savings the treatment of the opportunity cost of travel time in travel cost models has been an area of research interest for many decades our analysis develops a methodology to combine the travel distance and travel time data with respondent specific estimates of the value of travel time savings vtts the individual vtts are elicited with the use of discrete choice stated preference methods the travel time valuation procedure is integrated into the travel cost valuation exercise to create a two equation structural model of site valuation since the travel time equation of the structural model incorporates individual preference heterogeneity the full structure model provides a travel cost site demand model based upon individualized values of time the methodology is illustrated in a study of recreational birdwatching more specifically visits to a stork village in poland we show that the usual practice of basing respondents vtts on 1 3 of their wage rate is largely unfounded and propose alternatives including a separate component of the travel cost survey aimed at valuation of respondents vtts or as a second best asking if they wish if their journey was shorter and for those who do use full hourly wage as an indicator of their vtts

the value of changes in deer hunting quality a travel cost approach 1988 the value of changes in deer hunting quality a travel cost approach applied economics vol 20 no 4 pp 533 539

re evaluating the income elasticity of the property tax base an important research issue relating to the property tax is its income elasticity income elasticities provide a potentially cost effective means to forecast local government revenues and in policy analysis they are used to judge the tax s behavior over business cycles its stability and capacity to generate necessary growth in revenues its adequacy while previous income elasticity estimates have been derived from simple log linear models this paper focuses on the residential component of the property tax base and develops and estimates a nonlinear structural model of residential property valuation in further contrast to previous studies which have relied on national or state

modeling recreation demand in a poisson system of equations an analysis of the impact of international exchange rates we extend count data travel cost modeling by developing a utility theoretic system of semilogarithmic recreation demand equations the restrictions required to make the system utility theoretic are applied during estimation the model is applied to individual wilderness recreation trips in a system of four canadian wilderness parks the resulting demand system is used to examine the impacts of changing u s canadian currency exchange rates on participation and welfare of u s recreationists

welfare estimation using aggregate and individual observation models a comparison using monte carlo techniques due to the weak behavioral foundations of aggregate demand models zonal travel cost models have been largely abandoned in favor of models based on individual observations however sample selection difficulties in individual observation models often require the use of distribution sensitive limited dependent variables estimators in this paper i use monte carlo simulations to investigate whether the bias from aggregation is worse than possible bias from these narrowly specified estimators somewhat surprisingly the results indicate that zonal models often outperform the individual observation models especially when using an aggregate model that incorporates intrazonal variance of the explanatory variables

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

valuing non market wildlife commodities an evaluation and comparison of benefits and costs this paper compares the benefits and costs of nature conversation at three sites of special scientific interest benefits are estimated by contigent valuation expressed preferences and also the travel cost method revealed preferences oppurtunity costs are assessed from a financial cost viewpoint and also in terms of shadow prices or social costs results indicate that the valuation of wildlife and nature conservation largely depends upon the frame of reference adopted that social costs are considerably less than financial costs due to the effect of the common agricultural policy that user benefits are considerably less than financial costs and non user benefits must be included to cover even the social costs of nature conservation

modelling recreation demand using choice experiments climbing in scotland this paper is concerned with the use of thechoice experiment method for modelling thedemand for recreation using the example ofrock climbing in scotland we begin byoutlining the method itself including itstheoretical and econometric underpinnings datacollection procedures are then outlined wepresent results from both nested and non nestedmodels and report some tests for theimplications of choice complexity andrationality finally we compare our resultswith a revealed preference data model based onthe same sample of climbers

omitted cross price variable biases in the linear travel cost model correcting common misperceptions the essence of the travel cost method is that the combination of the number of visits to a site and the round trip travel costs for each recreationist traces out a demand relationship since the geographic location of the recreationist s residence exerts a kind of experimental control which forces the more distant consumer to bear higher travel and related costs these travel costs are used as proxies for prices in estimating demand for the site s services clawson 1959 has presented the two step method for valuing a single site s services however it has been pointed out in the literature that single and isolated recreation sites very rarely exist and the failure to include prices for alternative sites in the demand equation leads to biased estimates for the value of the resource under consideration the literature contains some misconceptions about the direction of the bias consider quotations from two frequently cited studies

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

characteristics of the prices of operating reserves and regulation services in competitive electricity markets in this paper characteristics of the prices of reserves and regulation services in the ontario new york and ercot electricity markets are studied more specifically price variability price jumps long range correlation and non linearity of the prices are analyzed using the available measures in the literature for the ontario electricity market the prices of 10 min spinning 10 min non spinning and 30 min operating reserves for the period may 1 2002 to december 31 2007 are analyzed for the new york market prices of the same reserves plus regulation service are studied for the period february 5 2005 to december 31 2008 for the ercot market we analyze the prices of responsive reserve regulation up and regulation down services for the period january 1 2005 to december 31 2009 the studied characteristics of operating reserve and regulation prices are also compared with those of energy prices the findings of this paper show that the studied reserve and regulation prices feature extreme volatility more frequent jumps and spikes different peak price occurrence time and lower predictability compared to the energy prices

a note on the welfare effects of omitting substitute prices and qualities from travel cost models the bias to welfare estimates from omitting substitute prices or qualities in travel cost models is examined the presence of bias depends on whether single or multiple site changes are examined and the degree of correlation between the omitted and included prices for a multiple site price or quality change even when omitted price is uncorrelated with included price welfare estimates may be biased alternatively if omitted price is perfectly correlated the welfare measure may not be biased the presence of the bias depends equally on both the degree of correlation and whether a single or multiple change occurs this abstract was borrowed from another version of this item

valuing the benefits of coastal water quality improvements using contingent and real behaviour recent moves in the european union have beenmade towards a toughening of legislation onbathing water quality this has focussedpolicy makers thoughts on the welfare benefitsresulting from such improvements especiallygiven their cost our paper uses a combinedstated and revealed preference approach tovalue coastal water quality improvements focussing on an area of scotland which hasconsistently failed to meet standards under thebathing waters directive we combine data onreal behaviour with data on contingentbehaviour using a random effects negativebinomial panel model this allows us to predictboth the change in participation trips shouldwater quality be improved and the welfareincrease per trip our model includes allowancefor the existence of substitute sites and forchanges in recreational behaviour during abeach visit

perceptions versus objective measures of environmental quality in combined revealed and stated preference models of environmental valuation abstract this study examines perceptions and objective attribute measures in discrete choice models of recreation site choice behavior these forms of attribute measurement are examined in individual and combined revealed preference stated preference models our results suggest that the model based on perceptions slightly outperforms the models based on objective attribute measures however issues such as the definition of the choice set and the measurement of welfare present significant challenges when using perceptions data

augmenting travel cost models with contingent behavior data this paper proposes contingent behavior survey questions as a valuable supplement to observed data in travel cost models of non market demand for recreational resources a set of observed and contingent behavior results for each survey respondent allows the researcher to control for individual heterogeneity by taking advantage of panel data methods when exploring the nature of respondent demands the contingent scenarios also provide opportunities to a test for differences between observed and contingent preferences and or b assess likely demands under conditionsbeyond the domain of observed variation in costs or resource attributes most importantly contingent scenarios allow the researcher to imposeexogenously varying travel costs exogenous imposition of travel costs together with panel methods reduces the omitted variables bias that plagues observed data travel cost models of recreational demand using a convenience sample of data for illustrative purposes we show how to estimate the demand for recreational angling by combining observed and contingent behavior data we begin with simple naive pooled poisson models and progress to more theoretically appropriate fixed effects panel poisson specifications

combining revealed and stated preference data to estimate the nonmarket value of ecological services an assessment of the state of the science this paper reviews the marketing transportation and environmental economics literature on the joint estimation of revealed preference rp and stated preference sp data the rp and sp approaches are first described with a focus on the strengths and weaknesses of each recognizing these strengths and weaknesses the potential gains from combining data are described a classification system for combined data that emphasizes the type of data combination and the econometric models used is proposed a methodological review of the literature is pursued based on this classification system examples from the environmental economics literature are highlighted a discussion of the advantages and disadvantages of each type of jointly estimated model is then presented suggestions for future research in particular opportunities for application of these models to environmental quality valuation are presented

on the efficient market diffusion of intermittent renewable energies abstract capacity costs of renewable energies have been decreasing dramatically and are expected to fall further making them more competitive with fossils building on an analytically tractable peak load pricing model we analyze how intermittency of renewable energies affects the market diffusion that results from these lower costs in particular once renewables have become competitive by attaining the same levelized cost of electricity lcoe as fossils the marginal increase in efficient capacities due to a further cost reduction varies substantially initially it is small then it rises but it falls again once renewable capacities are large enough to satisfy the whole electricity demand at times of high availability if external costs of fossils are internalized by a pigouvian tax then perfect competition leads to efficient investments in renewable and fossil capacities even though we assume that only a subgroup of consumers can adapt their demand to price fluctuations that are caused by the intermittency of renewables moreover fossils receive a capacity payment through the market for their reliability in serving demand of non reactive consumers maximum electricity prices rise with the share of renewables if regulators impose a price cap this initially raises investments in renewables but the effect may reverse if the share of renewables is large

time is money improved valuation of time and transportation costs the proper valuation of time isimportant for estimating the demand for severaleconomic goods this paper explores the propervaluation of time when estimating recreationaldemand where time costs represent asubstantial portion of the purchase price toestimate demand this paper uses a travel costframework to analyze actual behavior revealedpreference data and hypothetical behavior stated preference data which is induced byhypothetical increases in access fees traveltime and travel distance by comparing theresponses to these three contingencies theanalysis adjusts and improves the valuation oftime costs as evidence of this improvement this analysis demonstrates a great increase inthe consistency between the revealed and stateddata similarly this paper improves thevaluation of transportation related costs

adopt a hypothetical pup a count data approach to the valuation of wildlife the willingness to pay wtp for a coyote conservation program is estimated using a novel payment vehicle based on how many problem coyotes respondents would be willing to sponsor for a year this hypothetical scenario mimics an increasingly popular type of actual market data from a phone survey conducted in prince edward island are analyzed using count data models that consider different processes explaining zero responses and the level of positive responses this is particularly important in the case of coyotes often regarded as an economic bad estimates of wtp per coyote per year around 18 22 and annual wtp per contributor of about 46 57 are obtained

an extension of omitted cross price variable biases in the linear travel cost model correcting common misperceptions caulkins bishop and bouwes cbb 1985 raise an important issue concerning the conventional presumption of positive bias in consumer surplus when alternative sites are ignored in the travel cost method treatment of site value dwyer kelly and bowes 1977 they analyze a significant geographic dispersion phenomenon which can cause either negative or positive bias in travel cost model tcm estimates of site value when travel costs to alternative sites are omitted however the derivation of specification bias in the tcm which they provide is incomplete and could lead to generalizations which are erroneous cbb use the well known specification bias analysis to discuss the possible effects of ignoring alternative recreation sites in the tcm demand analysis given the estimated linear regression equation

the economics of household solid waste generation and disposal abstract we develop a household production model of waste management that explicitly incorporates many of the technical and behavioral elements germane to current regulatory and non regulatory solid waste policy initiatives examination of first order conditions shows the interaction among household preferences these production options and external prices and fees a simplified simulation of our model illustrates these relationships showing that household response elasticities can vary widely over common price ranges and that relatively large household welfare gains may be obtained by adopting curbside recycling and unit pricing programs

the demand for operating reserves key to price spikes and investment under regulation operating reserve policy and investment policy are completely separate in a market they are tightly linked through expectations currently regulators and engineers intervene in markets to determine how much will be paid when operating reserves are in short supply these prices largely determine the revenue stream that pays the capital costs of new peakers and pays an equal amount toward the capital costs of all other generators in this way operating reserve and price cap policies determine investment in generation and the equilibrium level of installed capacity typically ferc determines a price limit and engineers by setting an operating reserve requirement determine the expected duration of price spikes currently these policies are set without coordination and without analysis of the long run consequences

consistency in mixed demand systems contingent valuation and travel cost data in contrast to previous literature we propose a consistency test that does not impose any particular common functional form for the preference structure underlying the travel cost tc and contingent valuation cv models we derive testable consistency conditions between tc and cv data in the context of mixed demand systems when valuing changes in environmental quality these conditions are a subset of the rationality conditions the proposed consistency tests are implemented combining tc and cv data the empirical results show that it is possible to combine stated tc and cv but not revealed tc and cv data

valuing water level changes in reservoirs using two stated preference approaches an exploration of validity the combination of travel cost tcm and contingent behaviour cb methods is a relatively new research avenue in the recreational valuation community contrary to simple tcm applications tcm cb facilitates the ex ante valuation of marginal welfare effects resulting from environmental quality or quantity changes similar to the contingent valuation method cv even though tcm cb is highly policy relevant i e to inform changes in management regimes at recreational sites the validity of estimates has hardly received any attention and little is known about the performance of tcm cb compared to cv in this paper tcm cb and cv are explored with respect to several validity tests in a case study on the recreational effects of water level changes in a reservoir overall the findings reveal that tcm cb and cv perform equally well in terms of theoretical validity but that the marginal recreational value varies significantly between the two methods we also observe that both methods face similar internal difficulties with respect to the stability of values when the order of a set of valuation questions is changed

structural adjustment a survey of the issues and options abstract the article raises and attempts to answer questions such as adjustment for what purpose to what shocks of what factors or forces by whom who loses and who benefits from adjustment and adjustment how it also discusses the question of adjustment when the distinction between external and internal shocks is rejected as neither helpful for the allocation of blame nor for the justification of raising finance an analysis of the impact on the poor is sketched out after a brief discussion of the role of the market and government intervention in adjustment policy and the fallacy of aggregating country policies there follows a discussion of the double paradox of conditionality why should a donor impose conditions that are in the best interest of the recipient and why instead of paying for getting good advice is the recipient rewarded with extra money ten possible reasons are given the paper ends with proposals as to how to overcome the conflict between national sovereignty and assuring that donor money is well spent

using count data models in travel cost analysis with aggregate data estimators of recreational demand models frequently use continuous functional forms such as ordinary least squares ols on log transformed variables e g ziemer musser and hill however the nature of trip demand introduces complicating factors first trips occur in nonnegative quantities failure to control for this censoring will lead to biased estimation second because trips are available only in integer quantities the usual demand models which correlate marginal quantity with marginal price may be inapplicable in light of these factors a natural alternative is to use statistical models that explicitly recognize the count nature of trip demand several recent papers e g shaw smith grogger and carson creel and loomis have applied count models to the travel cost model these works largely have focused on truncated data sets based on choice based samples in this study the focus is on the older problem where zero demanders are included in particular the application of several robust estimators of count models to aggregated data will be considered the poisson distribution forms the foundation for the count models examined in this study although the poisson is a convenient distribution to work with it imposes some stringent constraints on the demand distribution in particular the poisson distribution assumes the variance of trip demand is equal to the expected value of trip demand to loosen these constraints a generalization of the poisson the negative binomial is discussed robust estimation procedures that permit further loosening of a priori assumptions are then reviewed permit data from the boundary waters canoe area are used to examine the effects of these count models on consumer surplus estimates and on coefficient variability

resource adequacy reliability and the impacts of capacity subsidies in competitive electricity markets abstract motivated by recent interventions by the states of new jersey and maryland and the introduction of pjm s minimum offer price rule mopr for capacity markets we analyze the impact of subsidized government investments in electrical generation on electricity markets we extend the model of joskow and tirole 2007 to address the interconnected nature of the pjm grid by considering a market with two different locations connected by transmission lines we assume that these lines are constrained during peak periods in a manner similar to borenstein et al 2000 we find that government intervention has a significant potential for adverse effects on grid resource adequacy and reliability in our analysis subsidized investment in baseload capacity is never optimal in the short run government provision of base capacity displaces competitive base capacity which reduces the private provision of peak capacity in the long run the threat of intervention imposes costs on suppliers in the form of an expected regulatory taking as a result resource adequacy decreases in both markets if governments respond to this state of affairs by subsidizing further supply additions expectations of intervention are reinforced and competitive capacity supply further diminishes mopr attempts to mitigate this vicious cycle by screening out non economic bids for new capacity to the extent market participants view mopr as a credible policy it succeeds in this goal in this case subsidized capacity additions do not perturb the efficiency of market outcomes as long as any charges to consumers to support the subsidy are lump sum in nature in this case subsidized resources simply succeed in capturing rents from taxpayers

imf conditionality conceptual problems and policy alternatives abstract this paper argues that the main issue damaging relations between developing countries and the international monetary fund is the latter s position that external disequilibria are always a consequence of excess aggregate domestic demand caused by excessive credit expansion as a result fund sponsored stabilization programs center on demand contraction through a credit crunch and may establish stricter domestic performance criteria than necessary to attain the balance of payments objectives the author suggests that the imf establish a two tier conditionality system which he calls the hands off approach with one tier composed exclusively of balance of payments or foreign exchange denominated variables and the other of domestic currency denominated variables the two tier system would allow more flexibility in compliance assessment and might reduce substantially the number of breakdowns of fund programs a revised hands on approach for the fund is also suggested the author critiques the recessive biases of the currently used financial analytical exercises and makes specific proposals to introduce growth exercises to establish the foreign credit requirements of a growth oriented stabilization program and thus to introduce performance criteria for creditor countries and banks a form of reciprocal conditionality

allocation of goods by lottery i introduction many goods such as hunting permits oil drilling leases cellular telephone licenses and rights to fishing berths as well as some buds such as the military draft jury duty and who is to be thrown overboard on a sinking life raft are or have been allocated by lotteries in neo classical welfare economics the random distribution of property rights does not affect allocative efficiency as long as transferability is allowed and the transactions costs are non prohibitive lottery allocations however are generally not transferable thus lottery allocations are inefficient since the goods are not ultimately allocated to the users who value them the most a number of authors such as aubert 1959 fienberg 1971 eckhoff 1989 and elster 1989 36 122 have argued that lotteries are chosen as the allocative instrument because it represents a fair or just means of allocating the goods rawls 1971 374 and eckhoff 1989 have noted that where it is impractical to divide the goods equally among those who desire them a lottery serves to satisfy both the requirement that the process be fair and that the allocation problem be resolved relatively costlessly elster 1989 113 however notes that lotteries are not the only fair allocation mechanism for example he points out that in jewish ethics the problem of allocating an indivisible good such as life saving resources is resolved by denying it to everyone even economists would probably prefer a lottery to this resolution the fairness hypothesis has a rich history in the old testament lotteries are deemed a fair way of allocating goods such as the inheritance of land numbers 33 54 lotteries are also used to allocate bads in perhaps the most famous biblical example of use of lots jonah was chosen by lot to be sacrificed to appease god who had brought a storm that threatened to wreck the ship the story goes that the lot selected jonah because he was shirking his duties elsewhere and should not have even been on the vessel jonah 1 6 1 notice that fair here is taken to mean just given this theological foundation it is not surprising that the lottery has seen frequent use in legal history as well one of the most interesting cases occurred in swedish and finnish trials in the 17th and 18th centuries in cases where a man was murdered by a mob lotteries were used to allocate punishment since the law required an eye for an eye no more and no less eckhoff says that if it was impossible to ascertain which of them had dealt the mortal blow the courts determined that one of the responsible parties be sentenced to death and that the person be selected by lottery 1989 19 a similar use of lotteries occurs in military history to deal with cases of mass desertion in roman armies every tenth man was executed decimated and the remainder pardoned in more modern times the lottery has been used in u s law 2 first of course is the use of a lottery to decide who shall sit on a jury a connection between fairness and lotteries however has also appeared in the common law in an 1842 case u s v holmes which has been discussed by fienberg 1971 eckhoff 1989 and elster 1989 a ship sank in a heavy storm and the lone surviving life raft was in grave danger of sinking the crew threw overboard fourteen male passengers in an effort to save the rest when back in port after being rescued a crewman named holmes the only crew member who had not disappeared upon arrival to port was brought to trial for the deaths of the passengers the court ruled that the non essential members of the crew should have been thrown overboard before any passengers and if that was not sufficient then passengers should have been selected by lot which is the fairest mode elster 1989 65 the fact that a human life presumably a large cost was at stake ex post did not affect the decision 3 the environmental economics literature contains a number of references to the social preferences for and benefits of lottery allocations

macro policy in the tropics how sensible people stand abstract a model for macro policy analysis is set out incorporating an inflation theory based on distributional conflict output and current account adjustment mechanisms and the money market classic structuralist results about contractionary devaluation and stagflationary monetary restriction are derived alternative closures of the model are considered monetarism and external strangulation or foreign exchange bonanzas and it is extended to deal with interest rate reform short term stabilization issues are analyzed monetary and fiscal policy import quotas and export subsidies as opposed to devaluation financial market complications food subsidies and public sector pricing and orthodox and heterodox anti inflationary programs finally medium term processes of inflation distribution and growth are described an example of an irreversible contractionary shock which leads the economy from a distributionally favorable to an unfavorable steady state is presented

the effects of variable omission in the travel cost technique the travel cost technique is probably the most widely used method for estimating outdoor recreation demand functions consequently problems of specification have attracted much attention specification errors due to the omission of travel time and congestion effects have received the most recent attention with the consensus being that the travel cost technique underestimates the true value of recreational resources if these variables are omitted gum and martin 1975 wetzel 1977 mcconnell and duff 1976 yet the effect of variable omission is likely to vary depending upon the type of activity the existence of substitutes and related factors for this reason we reexamine from both an empirical and theoretical perspective the magnitude and nature of potential specification errors due to variable omission

willingness to pay for quality improvements should revealed and stated preference data be combined abstract in this article we propose theoretically consistent welfare measurement of use and nonuse values for an improvement in environmental quality with revealed and stated preference data an analytical model based on the comparative static analysis of the variation function that describes the relationship between recreation demand and dichotomous choice contingent valuation models is estimated our results show that revealed and stated data should not be combined under the same assumed preference structure unless the two decisions imply the same change in behavior induced by the quality change in addition our results indicate scope effects in willingness to pay measures estimated with stated preference data

a welfare estimation of beach recreation with aggregate data a single site travel cost recreation demand model for a representative agent visiting a beach is employed that uses an indirect utility function alternative specifications of the expected demand function are estimated with aggregate time series data from a local beach park the estimated parameters are used to compute the value of the consumer surplus the recreational value of the park is expectedly sensitive to the functional form used also own price and income elasticities for various functional forms vary the results from the box cox procedure suggest that the semi log function is the most appropriate for the data used in this study confidence intervals are calculated to deal with the reliability problem of the consumer surplus estimates an alternative algorithm which assumes omitted variable as the source of the error in the demand function is also presented

on the aggregate value of recreational activities a nested price index approach using poisson demand systems an important consideration in the development ofregulations and policies that administer naturalresources in an area is the value of the non marketactivities supported by those lands little attentionhas been paid to the aggregate value of largegeographic areas this analysis builds autility theoretic price index and utilizes this indexto estimate an aggregate poisson demand to valuebackcountry recreational hiking opportunities innorthern california

addressing aggregation bias in zonal recreation models abstract models of recreation demand are often based on zonal data results from such models are susceptible to aggregation bias we propose a zonal model of recreation that captures some of the underlying heterogeneity of individual visitors by incorporating distributional information on per capita income from census sources into the aggregate demand function this adjustment eliminates the unrealistic constraint of constant income across zonal residents and thus reduces the risk of aggregation bias in estimated parameters in addition the corrected aggregate specification reinstates the applicability of generalized maximum likelihood methods and increases model efficiency

a difficulty with the travel cost method instead of observable prices of recreational visits travel cost method tcm re searchers are obliged to substitute researcher assigned visitation cost estimates i argue that visitation costs are inherently subjective but are ordinally measurable so long as the cost in creases with distance travelled it follows that traditional tcm yields only ordinally measur able welfare estimates the household produc tion function formulation of tcm resolves this problem only by imposing severe and un testable analytical restrictions tcm cannot serve as a stand alone technique for estimating recreation benefits rather it must be calibrated using information generated with fundamentally different methods jel q26

convergent validity of revealed and stated recreation behavior with quality change a comparison of multiple and single site demands we consider the convergent validity of several demand models using beach recreation data two models employ multiple site data a count data demand system model and the kuhn tucker demand system model we explore the role of existing variation in beach width in explaining trip choices and analyze a hypothetical 100 foot increase in beach width we compare these models to a single equation model where we jointly estimate revealed and stated preference trip data and focus on a hypothetical scenario considering a 100 foot increase in beach width in each case we develop estimates of the change in beach visits and the welfare impacts from the increase in width the trip change estimates from two of the three models are similar and convergent valid though the willingness to pay estimates differ in magnitude

the amenity value of woodland in great britain a comparison of economic estimates forests produce benefits over and above the revenue yielded from timber and other wood based products most important among these may be the recreational benefits for visitors which have been examined in several studies total benefits for residents are perhaps more accurately captured in property values since ceteris paribus the price of a house reflects willingness to pay to live near an environmental amenity such as a forest to gain access to it and also the amenity non use value of the forest in so far as it creates a pleasant landscape however the total non priced value of forestry is not the sum of hpm and itcm benefit estimates recreational benefits will typically be less and will be subsumed in the hpm estimates since the hedonic price is partly induced by the value of recreational access

comparing benefit estimates from travel cost and contingent valuation using confidence intervals for hicksian welfare measures an approach to determining whether benefit estimates derived from the travel cost method and contingent valuation method are statistically different is presented unlike past comparisons compensating variation is estimated for both methods benefit comparisons are made more rigorous by use of confidence intervals which are developed using the same krinsky and robb simulation technique for both valution mothods the techniques are applied to deer hunting in california while point estimates of benefits from both truncated and untruncated adjusted travel cost methods are lower than the contingent valuation method the confidence intervals on the untruncated travel cost method do overlap the contingent valution method benefit estimates

individual travel cost method estimation and benefit assessment with a discrete and possibly grouped dependent variable the trip visit variable in the individual travel cost method is often regarded as discrete furthermore it is often reported in surveys as a grouped variable the number of visits reported falling into one of several classes this paper develops a travel cost model which takes account of discreteness and grouping in both demand and benefit estimation a case study and associated simulations are then reported which indicate the potential extent of bias that may arise from ignoring discreteness grouping in demand and benefit estimation the information loss involved in varying the size of visit classes is also examined

what role for imf surveillance abstract this paper reviews two recent reports on the international monetary system one by the group of 10 industrial countries and the other by the group of 24 developing countries it contrasts their recommendations for improving policy surveillance by the international monetary fund its own recommendations include the strengthening of enhanced surveillance to make it more formal without making it more onerous the introduction of shadow conditionality to give guidance to governments about their eligibility to draw on the fund and the further development of multilateral surveillance along lines proposed at the tokyo summit it would broaden that process however by shifting the focus from policy compatibility defined with reference to exchange rate behavior to policy quality defined with reference to the behavior of global aggregates such as the growth rate of world trade the paper examines the use of target zones to manage exchange rates and argues that it would not weaken the case for multilateral surveillance which is needed not only in setting the zones but also to make sure that policies adopted by participating countries do not impart an inflationary or deflationary bias to the international economy