or practice selecting a portfolio of environmental programs for a synthetic fuels facility this article describes how a u s department of energy steering committee used a decision analysis procedure to develop a portfolio of environmental and health research programs for a commercial scale synthetic fuels facility the procedure used information and insights from decision analyses conducted in five technical areas to support decision analysis at the portfolio level the problem was complex because it included many combinations of studies that could be funded multiple objectives in the five technical areas as well as at the portfolio level and uncertainties about research needs the availability of technical data and research costs the article discusses the rationale for using formal decision analysis the main features of the procedure and how the procedure provided the steering committee with a logical basis for evaluating a large number of diverse technical projects and with the help of health and environmental experts established research priorities and budget allocations in a logical and defensible manner

baseline value specification and sensitivity analysis in multiattribute project portfolio selection abstract a key issue in applying multi attribute project portfolio models is specifying the baseline value a parameter which defines how valuable not implementing a project is relative to the range of possible project values in this paper we present novel baseline value specification techniques which admit incomplete preference statements and unlike existing techniques make it possible to model problems where the decision maker would prefer to implement a project with the least preferred performance level in each attribute furthermore we develop computational methods for identifying the optimal portfolios and the value to cost based project rankings for all baseline values we also show how these results can be used to i analyze how sensitive project and portfolio decision recommendations are to variations in the baseline value and ii provide project decision recommendations in a situation where only incomplete information about the baseline value is available

towards an attention based view of the firm the central argument is that firm behavior is the result of how firms channel and distribute the attention of their decision makers what decision makers do depends on what issues and answers they focus their attention on what issues and answers they focus on depends on the specific situation and on how the firm s rules resources and relationships distribute various issues answers and decision makers into specific communications and procedures the paper develops these theoretical principles into a model of firm behavior and presents its implications for explaining firm behavior and adaptation 1997 by john wiley sons ltd

distribution of research gains in multistage production systems research irrespective of the incidence of the levy and benefits no longer is valid we have no disagreement with this important observation but we are concerned about the lack of reliable estimates of the elasticity of substitution building on muth s analysis for which we suggest some changes we explore further the sensitivity of the effects of the distribution of benefits of research to different ways in which research can impact on a multistage production system and to the effects of the elasticities

international portfolio choice and political instability risk a multi objective approach abstract the benefits derived from international portfolio diversification into foreign nations including the less developed countries are well documented yet this practice is discouraged due to market imperfections such as political instability in practice nations may be differentiated further by many aspects such as border controls or political and social trends which constrain private transactions and financial decisions this paper attempts to examine 1 whether the home asset bias in a portfolio holding is associated with higher political instability risk and 2 to what extent international diversification among stocks in the presence of such risk outperforms domestic stock portfolios using alternative instability risk proxies in the context of a discrete time version of mean variance framework we corroborate the impact of this type of risk on international portfolio investment decisions

portfolio optimization with stochastic dominance constraints abstract we consider the problem of constructing a portfolio of finitely many assets whose return rates are described by a discrete joint distribution we propose a new portfolio optimization model involving stochastic dominance constraints on the portfolio return rate we develop optimality and duality theory for these models we construct equivalent optimization models with utility functions numerical illustration is provided

economic welfare evaluations for producers under uncertainty the validity of producer and consumer surplus measures of firm welfare under risk is examined under constant absolute risk aversion and output price uncertainty only these measures are an exact measure of firm welfare as defined by compensating variation equivalent variation or the change in the certainty equivalent under decreasing absolute risk aversion qualitative comparisons of various measures are discussed for example producer s surplus as measured by the area above the uncompensated risk averse supply curve overstates the compensating variation of a change in expected price of output procedures for calculating firm welfare under production uncertainty and a variety of economic environments are proposed generally these procedures are applicable only when absolute risk aversion is constant

optimal production with learning by doing abstract this paper characterizes optimal production over time when production cost is a decreasing function of past accumulated output when production exhibits learning by doing monopolistic competitive and socially optimal solutions are considered

divergence in alternative hicksian welfare measures the case of revealed preference for public amenities this paper investigates the divergence between the two hicksian welfare measures of non traded amenity improvement associated with housing first the hicksian surplus measures for amenity changes are analytically developed based on explicit specification of utility structures a hedonic two stage approach is then applied to empirically show that for quantity changes in contrast to hypothetical markets divergence in real market is small the paper also analytically develops expressions for the income and substitution effects and empirically shows that for a given income effect the greater the substitution effect the smaller the divergence between the two measures copyright 2002 john wiley sons ltd

application of sample selection model to double bounded dichotomous choice contingent valuation studies modeling households behavior with the data from a contingentvaluation cv survey is often complicated by samplenon response which can cause non response bias and sampleselection bias leading to inconsistent parameter estimates and adistorted mean willingness to pay estimate this paper reportsthe results of empirical tests for both biases using householdsurvey data in which the double bounded dichotomous choice cvquestion involved the benefit of a tap water quality improvementpolicy in korea no non response bias but sample selection bias is detected in the sample to correct for sample selection bias a sample selection model is employed the authors also discusshow failure to correct for bias may distort aggregate benefitestimates

modeling project preferences in multiattribute portfolio decision analysis abstract when choosing a portfolio of projects with a multi attribute weighting model it is necessary to elicit trade off statements about how important these attributes are relative to each other such statements correspond to weight constraints and thus impact on which project portfolios are potentially optimal or non dominated in view of the resulting set of feasible attribute weights in this paper we extend earlier preference elicitation approaches by allowing the decision maker to make direct statements about the selection and rejection of individual projects we convert such project preference statements to weight information by determining the weights for which i the selected project is included in all potentially optimal or non dominated portfolios or ii the rejected project is not included in any potentially optimal or non dominated portfolio we prove that the two complementary selection rules will exclude exactly the same set of weights however analyses that apply the dominance structure often lead to multiple mutually exclusive feasible weight sets and therefore the approach based on potential optimality is more relevant for practical decision analysis we also propose ex ante value of information measures to guide the elicitation of project preference statements and illustrate our results by analyzing a real case on the selection of infrastructure maintenance projects

a portfolio model for siting offshore wind farms with economic and environmental objectives abstract siting offshore wind farms is a complex problem due to the wake interactions between wind farms we develop a profit maximizing portfolio model based on underlying network models to track the wake effects through a series of wind farms our portfolio model optimizes the siting of wind farms considering multiple wind directions and wind speeds and performs better than simple decision heuristics excluding sites from the portfolio has nonlinear impacts on the profitability of the portfolio of sites in that areas excluded from consideration have greater impacts on profit if they are grouped together or aligned parallel to the prevailing wind direction the model can be readily adapted to include additional cost factors

consumer s surplus versus compensating variation revisited consumer s surplus and a second order approximation to compensating variation are compared to the exact compensating variation for a subsystem of several commodities an empirical application to the relative retail price distortions created by the u s dairy program is presented in the application a new specification for weakly integrable incomplete demand models is developed and estimated the integrable demand model has sufficient flexibility that it is not rejected by the data both welfare approximations are found to introduce large errors in the measurement of deadweight losses

the effects of alternative urban transit subsidy formulas abstract this paper demonstrates that for a given cost to the taxpayer the effects of a transit subsidy depend on the subsidy formula the objective function of the transit firm and the transit demand function under most assumptions a subsidy would lead to a lower fare more service and more riders but under some assumptions the fare would remain unchanged or increase if a transit firm maximizes ridership lump sum and passenger subsidies will have the same effects but a cost subsidy with the same cost to taxpayers will lead to a higher fare more service and lower ridership

can weak substitution be rehabilitated this paper develops a graphical analysis and an analytical model that demonstrate how weak substitution can be used for non market valuation weak complementarity and weak substitution represent preference restrictions that allow us to develop equivalent price changes to describe quantity or quality changes in non market goods the price changes are hicksian equivalents in that they yield the same utility changes as would the quantity or quality changes after discussion of several potential applications of weak substitution the paper develops the parallel between the restriction and recent strategies from modeling differentiated goods

implausible alternatives in eliciting multi attribute value functions abstract many methods to elicit preference models in multi attribute decision making rely on evaluations of a set of sample alternatives by decision makers using orthogonal design methods to create this set of alternatives might require respondents to evaluate unrealistic alternatives in this paper we perform an empirical study to analyze whether the presence of such implausible alternatives has an effect on the quality of utility elicitation using a new approach to measure consistency we find that implausible alternatives in fact have a positive effect on consistency of intra attribute preference information and consistency with dominance but do not affect inter attribute preference information

capital biased subsidies bureaucratic monitoring and bus scrapping abstract a model of bus scrapping yields the hypothesis that a capital biased subsidy increases the scrapping probability and reduces the expected life for urban transit buses and hence wastes resources governments have instituted bureaucratic approval requirements to prevent capital biased subsidies from leading to premature scrapping of buses if effective these requirements would reduce the impact of capital biased subsidies on the scrapping probability for buses that are less than 15 years old estimates of a probit model using data for ontario canada during 1963 1981 are consistent with the hypothesis that capital biased subsidies increase the scrapping probability but not with the hypothesis that bureaucratic monitoring has prevented premature scrapping

bayesian estimation of the global minimum variance portfolio in this paper we consider the estimation of the weights of optimal portfolios from the bayesian point of view under the assumption that the conditional distribution of the logarithmic returns is normal using the standard priors for the mean vector and the covariance matrix we derive the posterior distributions for the weights of the global minimum variance portfolio moreover we reparameterize the model to allow informative andnon informative priors directly for the weights of the global minimum variance portfolio the posterior distributions of the portfolio weights are derived in explicit form for almost all models the models are compared by using the coverage probabilities of credible intervals in an empirical study we analyze the posterior densities of the weights of an international portfolio

public and private returns from joint venture research an example from agriculture public research institutions are turning increasingly to the private sector for additional financial support such a trend in the short run lessens the need for public research expenditures but may in the long run prove to be very costly to the economy as a whole this is because private funding increases the chance that the direction of research will shift so that private benefits are enhanced such a shift is especially costly if public research funds are then not forthcoming that would have the potential of producing the maximum level of benefits to the economy as a whole a case study of canadian barley research is used to illustrate this problem

surplus maximization and optimality i identify assumptions under which policies that maximize expected surplus are pareto optimal even when expected consumer surplus does not even locally represent preferences over price income lotteries besides the oft made partial equilibrium assumptions that only one price varies and that income changes do not aect demand the two other assumptions are that every consumer s indirect utility function is supermodular in price and income and policies order prices by a single crossing property supermodularity holds precisely if relative risk aversion exceeds the income elasticity of demand a mild condition the single crossing property appears strong but holds in many applications that use expected surplus

environmental issues and economic decisions in developing countries abstract this paper explains the key role of environmental economics in incorporating environmental concerns into decision making and in facilitating the more efficient management of natural resources as a step toward sustainable development it reviews concepts and techniques for valuation of environmental impacts for use in conventional cost benefits analysis as well as key related aspects including environmental impacts of economywide policies multicriteria analysis risk and uncertainty and discount rate issues several developing country case studies are summarized which cover a range of practical valuation methods the evidence presented suggests that the valuation techniques for determining use values may be applied successfully in appropriate cases but examples involving nonuse values are rare the use of multiobjective desicion methods also needs to be explored where economic valuation is not feasible

the economic benefits of surface water quality improvements in developing countries a case study of davao philippines two nonmarket valuation techniques the contingent valuation method and travel cost model are used to estimate the economic value that people in davao philippines place on improving the water quality of the rivers and sea near their community the contingent valuation and travel cost estimates are very close to each other and are quite low both in absolute terms and as a percentage of household income these findings suggest that water pollution control is simply not a high priority for davao s residents and support the argument that households willingness to pay for environmental amenities such as improved water quality is low

health insurance tradeoffs revisited abstract in two recent papers journal of health economics 18 2 141 152 journal of health economics 18 6 811 824 nyman raised some questions about the welfare calculations and conclusions in our earlier paper manning and marquis health insurance the tradeoff between risk pooling and moral hazard vol 15 1996 this note discusses the erroneous criticisms in his papers first although we estimated a marshallian demand curve our calculations are based on compensating variations that incorporate the gains from risk pooling second our estimates of second best insurance plans indicate that some cost sharing is optimal in contradiction to his assertion that our results raise questions about the desirability of insurance coverage the comment also deals with other issues raised by nyman

modeling synergies in multi criteria supplier selection and order allocation an application to commodity trading abstract we propose a novel meta approach to support collaborative multi objective supplier selection and order allocation ssoa decisions by integrating multi criteria decision analysis and linear programming lp the proposed model accounts for suppliers performance synergy effects within a hierarchical decision structure it incorporates both heterogeneous objective data and subjective judgments of the decision makers dms representing various groups with different voting powers vps we maximize the total value of purchasing tvp by optimizing order quantity assignment to suppliers and taking into consideration their synergies encountered in different time horizons we apply the proposed model to a contractor selection and order quantity assignment problem in an agricultural commodity trading act company we maximize the strategic effectiveness of both the customers and the suppliers minimize risks increase the degree of cooperation between trading partners on all levels of supply chain integration enhance transparent knowledge sharing and aggregation and support collaborative decision making

structuring resource allocation decisions a framework for building multi criteria portfolio models with area grouped options multi criteria portfolio modelling has been extensively employed as an effective means to allocate scarce resources for investment in projects when considering costs benefits and risks some of these modelling approaches allow the grouping of projects into organisational areas thus also supporting the decision of resource allocation among organisational units in a way that is collectively efficient for the organisation however structuring in practice a portfolio model using this latter type of approach is not a trivial task how should areas be defined where should new projects be included how should one define the criteria to evaluate performance as far as we know there is very little indication in the operational research and decision sciences literatures on how to structure this type of model this paper suggests different ways to structuring portfolio models where projects are divided into areas and evaluated by multiple criteria and illustrates their use in two action research projects drawing on these experiences it then suggests a general framework for the structuring of such models in practice directions for future research are also identified

compensating variation consumer s surplus and welfare the compensating variation was defined by j r hicks 1942 as the amount one would have to deduct from a person s income to make him just as well off after a change in prices and income as he had been in the initial situation if the compensating variation is positive the individual is better off under the new situation since the compensating variation furnishes a uniquely defined numerical cardinal indicator of welfare improvement it provides an implicit ranking of alternative prospective situations not only relative to the initial situation but also relative to each other in practice this appears to be how this and other tools of cost benefit analysis are actually used one is interested in knowing not only whether a particular bridge or a particular excise tax will lead to an improvement in welfare but which out of a set of alternative bridges or alternative tax systems will improve welfare the most 1 in this paper we analyze conditions under which the compensating variation can be validly used in this generalized sense these turn out to be precisely the same as conditions previously derived see our 1976 paper for the valid use of consumer s surplus as a welfare measure in our final section we analyze the problem of deriving the generalized equivalent and compensating variations either exactly or approximately from observable demand functions by means of generalizations of or alternatives to consumer s surplus

preference programming for robust portfolio modeling and project selection in decision analysis difficulties of obtaining complete information about model parameters make it advisable to seek robust solutions that perform reasonably well across the full range of feasible parameter values in this paper we develop the robust portfolio modeling rpm methodology which extends preference programming methods into portfolio problems where a subset of project proposals are funded in view of multiple evaluation criteria we also develop an algorithm for computing all non dominated portfolios subject to incomplete information about criterion weights and project specific performance levels based on these portfolios we propose a project level index to convey i which projects are robust choices in the sense that they would be recommended even if further information were to be obtained and ii how continued activities in preference elicitation should be focused the rpm methodology is illustrated with an application using real data on road pavement projects

scenario based portfolio selection of investment projects with incomplete probability and utility information abstract in the selection of investment projects it is important to account for exogenous uncertainties such as macroeconomic developments which may impact the performance of projects these uncertainties can be addressed by examining how the projects perform across several scenarios but it may be difficult to assign well founded probabilities to such scenarios or to characterize the decision makers risk preferences through a uniquely defined utility function motivated by these considerations we develop a portfolio selection framework which i uses set inclusion to capture incomplete information about scenario probabilities and utility functions ii identifies all the non dominated project portfolios in view of this information and iii offers decision support for rejection and selection of projects the proposed framework enables interactive decision support processes where the implications of additional probability and utility information or further risk constraints are shown in terms of corresponding decision recommendations

what do income tests tell us about the gap between wta and wtp for public goods abstract theory relates the gap between wta willingness to accept compensation and wtp willingness to pay to the income elasticity of wtp it has been suggested that empirical estimates of the income elasticity of wtp can therefore be used to test whether an observed gap between wta and wtp is consistent with rational behavior we examine this issue for the case of non market public goods we identify the theoretically appropriate tests of income sensitivity and examine conditions for valid income sensitivity tests we show that income tests may provide false signals in common settings indicating an inconsistency where none exists

welfare implications of community forest plantations in developing countries the orissa social forestry project community forest plantations are a common intervention in developing countries we use household and remote sensing data from orissa india to estimate welfare effects of community forest plantations in terms of the value of decreased collection times plantations afford users a selection model accounting for possible jointness in site location and productivity is used to estimate collection production functions for different household labor categories in natural and community forests two measures of an opportunity cost of time are used to determine welfare effects of time saved due to community forests we find access to community forests is important to marginal productivity of different labor categories but to different degrees highlighting the need to disaggregate household data when analyzing these interventions we also find substantial welfare improvements from time savings for many households and villages

bootstrapping in applied welfare analysis bootstrapping procedures are used to estimate the statistical properties of common empirical welfare measures results from a monte carlo experiment indicate that welfare estimates such as marshallian consumer surplus often exhibit significant bias standard errors of welfare estimates are found to often exceed the magnitude of the point estimate for typical cross section data sets and are generally larger than the difference between comparable hicksian and marshallian measures precision of welfare estimates can be markedly enhanced through generating larger data sets obtaining better model fits and through imposition of innocuous inequality restrictions on the demand function parameters

optimal strategies for selecting project portfolios using uncertain value estimates abstract practically all organizations seek to create value by selecting and executing portfolios of actions that consume resources typically the resulting value is uncertain and thus organizations must take decisions based on ex ante estimates about what this future value will be in this paper we show that the bayesian modeling of uncertainties in this selection problem serves to i increase the expected future value of the selected portfolio ii raise the expected number of selected actions that belong to the optimal portfolio ex post and iii eliminate the expected gap between the realized ex post portfolio value and the estimated ex ante portfolio value we also propose a new project performance measure defined as the probability that a given action belongs to the optimal portfolio finally we provide analytic results to determine which actions should be re evaluated to obtain more accurate value estimates before portfolio selection in particular we show that the optimal targeting of such re evaluations can yield a much higher portfolio value in return for the total resources that are spent on the execution of actions and the acquisition of value estimates

welfare measurement in the household production framework the household production approach to consumer behavior developed from the work of gary becker william gorman and kelvin lancaster has considerable descriptive appeal in modelling the decisions of households the approach derives from the observation that households frequently purchase market goods that do not yield utility directly but are combined to produce commodity service flows which the household values thus observed behavior is determined by household production technology as well as by tastes the advantage of this distinction is that we can pose reasonable hypotheses about characteristics of technology though we rarely possess useful a priori information regarding tastes the putative advantages of the household production approach are questioned on empirical and conceptual grounds by robert pollak and michael wachter 1975 they show that jointness in production or nonconstant returns to scale cause implicit commodity prices to depend on both tastes and technology raising serious econometric difficulties in the estimation of commodity demand functions in addition since commodity prices become functions of the commodity bundle consumed the analogy to traditional demand theory breaks down joint production occurs when a good enters several production processes simultaneously or equivalently when a good in one production process also enters directly into the individual s utility function the most common example is time which provides the context for all production processes and is often associated with the production of several commodities simultaneously since joint production in the household is likely to be pervasive the critique by pollak and wachter cannot be ignored in response to the comment by william barnett pollak and wachter 1977 suggest dispensing with the notion of commodity prices and treating the demand for commodities as a function of goods prices this approach confounds tastes and technology but it eliminates the troublesome concept of commodity prices as parameters when in fact they are likely to be endogenous in this paper we show that results from positive analysis such as the critique by pollak and wachter have implications for the use of the household production framework for welfare analysis the household production function approach has had considerable appeal for measuring welfare effects of public actions in the environmental and natural resource areas gardner brown john charbonneau and michael hay elizabeth wilman yet traditional approaches to welfare measurement are frequently inapplicable we argue that welfare measurement in this framework is complicated by the difficulties of unravelling tastes and technology we extend pollak and wachter s results by demonstrating that marshallian demand functions for commodities cannot be uniquely defined thus marshallian functions cannot be used to derive exact compensated functions in the manner of jerry hausman and of george mckenzie and i f pearce nor can compensating and equivalent variation measures be bounded by marshallian consumer s surplus estimates following robert willig in fact duality results that normally allow us to move between marshallian and hicksian functions are not assistant and associate professors respectively department of agricultural and resource economics university of maryland college park md 20742 this paper is scientific article no a3404 contribution no 6476 of the maryland agricultural experiment station we wish to thank darrell hueth james opaluch v kerry smith and elizabeth wilman for comments on an earlier draft

contingent valuation techniques for assessing environmental impacts further evidence abstract this paper provides further evidence on the development and application of the iterative bidding technique used to assess environmental impacts three specific issues the hypothetical nature of the survey technique the questionnaire information structure and the bidding procedure starting point are examined theoretically and empirically to determine their effect on individual bid behavior the empirical results indicate that the importance of these influences may have been overstated in earlier studies

portfolio selection under distributional uncertainty a relative robust cvar approach robust optimization one of the most popular topics in the field of optimization and control since the late 1990s deals with an optimization problem involving uncertain parameters in this paper we consider the relative robust conditional value at risk portfolio selection problem where the underlying probability distribution of portfolio return is only known to belong to a certain set our approach not only takes into account the worst case scenarios of the uncertain distribution but also pays attention to the best possible decision with respect to each realization of the distribution we also illustrate how to construct a robust portfolio with multiple experts priors by solving a sequence of linear programs or a second order cone program

axiomatic foundations of hicksian measures of welfare change abstract the aggregate hicksian measures i ev i and i cv i are characterized by three simple properties one property concerns the ranking of two states the measures are paretian a second property expresses the postulate that welfare changes are to be evaluated in money the third one deals with redistributions of incomes distributional considerations are taken into account by employing variable distributional weights i

comparing open ended choice experiments and experimental auctions an application to golden rice we use two experimental valuation methods to estimate consumer demand for genetically modified golden rice the first is an open ended choice experiment oece where participants name the quantities of golden rice and conventional rice demanded at each of several price combinations one of which will be randomly chosen as binding this allows us to estimate market demand by aggregating demand across participants this estimate of market demand also allows us to estimate own price elasticity and consumer surplus for golden rice comparing willingness to pay wtp estimates from the oece with those from a uniform price auction we find that oece wtp estimates exhibit less affiliation across rounds and the effects of positive and negative information under the oece are more consistent with prior expectations and existing studies we also find that while auction wtp estimates more than double across five rounds oece wtp estimates are stable across rounds and are always roughly equal to those from the final auction round

on measuring the value of a nonmarket good using market data we use line integral theory to lay out in a more general theoretical framework the conditions under which it is possible to measure with market data the welfare effects of a change in a nonmarket good we present in detail a numerical method of measuring the value of nonmarket goods using market data under either weak neutrality or weak complementarity our numerical method is more flexible than the existing analytical method because it can be used with any well behaved marshallian demand function and can be used even when the willig condition does not hold

stochastic dominance and expected utility survey and analysis while stochastic dominance has been employed in various forms as early as 1932 it has only been since 1969 1970 that the notion has been developed and extensively employed in the area of economics finance agriculture statistics marketing and operations research in this survey the first second and third order stochastic dominance rules are discussed with an emphasis on the development in the area since the 1980s

aversion to health inequalities in healthcare prioritisation a multicriteria optimisation perspective abstract in this paper we discuss the prioritisation of healthcare projects where there is a concern about health inequalities but the decision maker is reluctant to make explicit quantitative value judgements and the data systems only allow the measurement of health at an aggregate level our analysis begins with a standard welfare economic model of healthcare resource allocation we show how under the assumption that the healthcare projects under consideration have a small impact on individual health the problem can be reformulated as one of finding a particular subset of the class of efficient solutions to an implied multicriteria optimisation problem algorithms for finding such solutions are readily available and we demonstrate our approach through a worked example of treatment for clinical depression

markets and the measurement of value consumer s surplus and the hicksian measures of compensating and equivalent variation have a long history in empirical economic analysis however at both the theoretical and the empirical level economists psychologists and public choice theorists have not been able to reach a significant consensus regarding the usefulness of these measures economic theorists have only recently dissected the differences which exist between alternative welfare measures in a systematic and transparent fashion in willig 1976 hausman 1981 and takayama 1984 the role of income in determining the correct theoretical measurements of compensating and equivalent variations was exposed during this same period of time theoretical results obtained by the psychologists kahneman and tversky 1979 indicated that the fundamental structure of preferences upon which the theoretical economic results are based is flawed the so called prospect theory of decision developed by these authors indicated that measured of welfare based upon payment will differ from measures of welfare based upon compensation because of the fact that individuals will value losses at a greater marginal rate than gains this difference was then predicted to dominate any income effect important in the economist s model finally this period recorded the emergence of many demand revealing processes which provide individuals with appropriate incentives to accurately reveal their preferences as summarized in coursey and schulze 1986 one interpretation of the literature on incentive compatibility suggests a set of well defined guidelines for improving both the accuracy and validity of compensating and equivalent variation measures these differences in professional preferences regarding what is important in improving the accuracy of economic welfare measurements led john

welfare losses due to market power hicksian versus marshallian measurement this paper warns against the use of marshallian welfare loss in applied analysis of market power we show how to compute the hicksian deadweight loss from an ordinary demand then from an experiment using real data on twenty one sectors of the french food industry we find that the marshallian deadweight loss poorly approximates the exact hicksian measure hence it is advisable to use the latter in applied welfare analysis copyright 2001 oxford university press

what marshall didn t know on the twentieth century s contributions to economics some of this century s many valuable contributions to economics like macroeconomics econometrics and game theory are widely recognized however arguably equally important is the enhanced role of empirical study permitted by more abundant data and improved methods also insufficiently recognized are the increased rigor and use of applied economics in public finance regulation corporation finance etc employing abstract theory and sophisticated data analysis the striking contrast with earlier intuitively based applied economics and empirical study is illustrated comparison with marshall s principles also indicates that except for macroeconomics remarkably little space in today s texts deals with some of the rich contributions of this century what has twentieth century economics accomplished a great deal as will be shown here but the discussion needs an illuminating starting point in 1946 after arriving at the london school of economics as an entering graduate student 1 i soon found that in

public monopoly and economic efficiency evidence from the pennsylvania liquor control board s entry decisions we estimate a spatial model of liquor demand to analyze the impact of government controlled retailing on entry patterns in the absence of the pennsylvania liquor control board the state would have roughly 2 5 times the current number of stores higher consumer surplus and lower payments to liquor store employees with just over half the number of stores that would maximize welfare the government system is instead best rationalized as profit maximization with profit sharing government operation mitigates but does not eliminate free entry s bias against rural consumers we find only limited evidence of political influence on entry jel d42 d72 l11 l12 l43 l81

willingness to pay and willingness to accept how much can they differ comment i agree with the point made by edoh y amiran and daniel a hagen 2003 that there can be a substantial or even infinite divergence between the wta and wtp for a public good even where there is a nonzero elasticity of substitution between market goods and the public good provided that the indifference curves are asymptotically bounded with respect to market goods in the manner they describe this is an important point they are also correct to point out that the elasticity of substitution is a local concept whereas their asymptotic boundedness condition applies also for discrete changes my 1991 paper used a local analysis because it was following the structure of the analysis in robert d willig 1976 and alan randall and john r stoll 1980 i wanted to show that while randall and stoll appeared to extend willig s local result on wta versus wtp from price changes to changes in the quantity of a public good the relevant elasticity was in fact different and involved the substitution elasticity as well as the income elasticity i view these points by amiran and hagen as not two separate results but essentially the same result their asymptotic boundedness condition generalizes my zero elasticity of substitution condition to discrete changes the asymptotic boundedness condition can be expressed as follows assuming a bivariate utility function u x q and given a reference point x q associated with a reference utility level u u x q there exists some q q such that for all q q there exists no x such that u x q u in other words no amount of x can substitute for the reduction in public good from q to q q in the case of a zero elasticity of substitution q q but as amiran and hagen show in their theorem 1 this is unnecessarily restrictive when dealing with a discrete reduction in q furthermore their theorem 2 can be viewed as a special case of their theorem 1 in which q 0 which makes q an essential commodity it is well known in consumer theory that the wta to avoid the loss of an essential market good is infinite their theorem 2 extends this result to the case of an essential nonmarket good but as their theorem 1 shows essentialness is not necessary for an infinite wta the boundedness condition is the key and this implies a fundamental lack of substitutability between money market goods and the public good

welfare and distribution effects of water pricing policies in this paper distribution and welfare effects of changes in block price systems are evaluated a method is discussed to determine for a marshallian demand function equivalent variation in case of a block price system the method is applied to compare for the metropolitan region of sao paulo alternative pricing policies on the basis of their demand welfare and distribution effects of changing water prices results show that there is a trade off between average welfare and income distribution a pro poor price system may result in lower average welfare than a flat price system but in higher individual welfare for the poor moreover there is a trade off between revenues for the water company and income distribution even though pro poor price systems may not be as good for average welfare as flat price systems their direct effects on poverty are important introducing pro poor price systems however may have financial consequences for the water companies

consumer s surplus without apology the purpose of this paper is to settle the controversy surrounding consumer s surplus and by so doing to validate its use as a tool of welfare economics i will show that observed consumer s surplus can be rigorously utilized to estimate the unobservable compensating and equivalent variations the correct theoretical measures of the welfare impact of changes in prices and income on an individual i derive precise upper and lower bounds on the percentage errors of approximating the compensating and equivalent variations with consumer s surplus these bounds can be explicitly calculated from observable demand data and it is clear that in most applications the error of approximation will be very small in fact the error will often be overshadowed by the errors involved in estimating the demand curve the results in no way depend upon arguments about the constancy of the marginal utility of income consequently this paper supplies specific empirical criteria which can replace the apologetic caveats frequently employed by those who presently apply consumer s surplus moreover the results imply that consumer s surplus is usually a very good approximation to the appropriate welfare measures to preview below i establish the validity of these rules of thumb for a

selecting a portfolio of solar energy projects using multiattribute preference theory this article reports a procedure developed to assist the u s department of energy in selecting a portfolio of solar energy applications experiments the procedure has also been used in other government procurements and appears to be applicable in a variety of project funding processes the technical quality of each proposed applications experiment was summarized through the use of multiple evaluation measures or attributes these were combined into a single index of the overall technical quality of an experiment through the use of a multiattribute utility function recently derived results in measurable value theory were applied to derive an index of the overall technical quality of a portfolio of experiments budgetary and programmatic issues were handled through the use of constraints this approach allowed the portfolio selection problem to be formulated as an integer linear program details of the application are presented including a discussion of the data requirements and assessment procedure used the portfolio selection procedure was successfully applied and variations of it have been successfully used in four other solar energy procurements

adjustable robustness for multi attribute project portfolio selection abstract robust portfolio modeling rpm supports multi attribute project portfolio selection with uncertain project scores and decision maker preferences by determining non dominated portfolios for all possible realizations of uncertain parameters decision recommendations produced by rpm may prove too conservative for real life decision problems we develop a methodology to reduce the set of possible realizations by limiting the number of project scores that may simultaneously deviate from their most likely value by adjusting this limit decision makers can choose desired levels of conservatism our approach also allows to capture dependencies among project scores as well as uncertainty in portfolio constraints

an equilibrium model of the supply chain network under multi attribute behaviors analysis abstract this paper studies a supply chain network scn equilibrium model considering decision makers multi attribute behaviors from the perspective of behavioral finance in this paper an equilibrium model of an uncertain snc is constructed in which retailers choose their decisions according to their risk averse behavior loss averse behavior and regret averse behavior by using different weights to represent retailers attitudes to these three behaviors the retailers multi attribute utility functions are developed the equilibrium conditions of the manufacturers the retailers together with the network are established by the finite dimensional variational inequality formulation three numerical examples are solved in the first numerical example we illustrate the effect of each of these three behaviors on the equilibrium decisions the profits and the utilities of the decision makers in the other two numerical examples we explore the effects of changes in attitudes to these three behaviors on the equilibrium decisions profits and utilities of the decision makers the numerical results show that the equilibrium decisions are affected by each of these three behaviors very much moreover they are sensitive to the changes in attitudes to these behaviors

measurement issues in the evaluation of projects in a project portfolio abstract a common problem arising in many domains is how value the benefits of projects in a project portfolio recently there has been some attention given to a decision analysis practice whereby analysts define a value function on some criterion by setting 0 as the value of the worst project in particular clemen and smith have argued this practice is not sound as it gives different results from the case where projects are priced out and makes a strong implicit assumption about the value of not doing a project in this paper we underscore the criticism of this way of using value functions by showing it can lead to a rank reversal we provide a measurement theoretic account of the phenomenon showing that the problem arises from using evaluating projects on an interval scale such as a value scale whereas to guard against such rank reversals benefits must be measured on at least a ratio scale seen from this perspective we discuss how the solution proposed by clemen and smith of reformulating the underlying optimisation problem to allow for explicitly non zero values addresses the issue and explore in what sense it may be open to similar problems in closing we discuss what lessons from practice may be drawn from this analysis focussing on settings where the clemen and smith proposal may not be the most natural way of modelling

approximating compensated income from ordinary demand functions abstract this paper proposes a re versible s econd or der t aylor resort approximation to compensated income from ordinary demand functions resort yields the malmquist vartia m v algorithm as a first order case using the slutsky equation resort obtains the substitution matrix and checks it for symmetry and negative semi definiteness to validate compensated income this validation procedure is an improvement over m v

the effects of lump sum subsidies on the structure of production and productivity in regulated industries abstract the theoretical model developed in this paper indicates that a lump sum subsidy granted to a monopolist facing a binding rate of return constraint will result in a higher level of capital employed and output produced furthermore production costs at any level of output will be higher compared to the pre subsidy situation the empirical results emanating from the application of the model to the bus transport sector indicate that lump sum subsidies have been factor biased and have led to higher costs as predicted by the model the average rate of productivity growth has been reduced by 0 60 percentage points per year as a direct result of the lump sum subsidy

despairing over disparities explaining the difference between willingness to pay and willingness to accept this paper examines the three major explanations for the disparity between willingness to pay wtp and willingness to accept wta observed in contingent value surveys and laboratory experiments a belief that the results must be biased in some fashion hanemann s 1991 substitutes hypothesis and the loss aversion model proposed by tversky and kahneman 1991 starting from the assumption that individuals make utility maximizing choices we develop structural equations that yield parametric tests of the hypotheses within a single non experimental framework the approach is flexible enough to incorporate a variety of functional form and distributional assumptions and can be applied to either data from either open ended bids or dichotomous choice questions the usefulness of the approach is demonstrated using data from a survey that asked both wtp and wta questions the results provide weak support for loss aversion

multistage decision making fuzzy methodology for optimal investments based on experts evaluations abstract a new methodology of making a decision on an optimal investment in several projects is proposed the methodology is based on experts evaluations and consists of three stages in the first stage kaufmann s expertons method is used to reduce a possibly large number of applicants for credit using the combined expert data the credit risk level is determined for each project only the projects with low risks are selected in the second stage the model of refined decisions is constructed using the new modification of the previously proposed possibilistic discrimination analysis method sirbiladze khutsisvili dvalishvili 2010 this stage is based on expert knowledge and experience the projects selected in the first stage are compared in order to identify high quality ones among them the possibility levels of experts preferences are calculated and the projects are ranked finally the third stage deals with the bicriteria discrete optimization problem whose solution makes it possible to arrange the most advantageous investment in several projects simultaneously the decision on funding the selected projects is made and an optimal distribution of the allocated investment amount among them is provided the efficiency of the proposed methodology is illustrated by an example

analysing rationing policies drought and its effects on urban users welfare analysing rationing policies during drought the aim of this paper is to study the impact on consumers of rationing policies implemented during water shortages water scarcity gives rise to the need for rationing and various methods including supply cutoffs can be used a model is devised to quantify the welfare losses associated with qualitive and quantitive restrictions based on virtual prices and using the consumer surplus as a welfare measurement welfare variations for different users have been calculated to achieve the aim information relative to seville spain has been used analysing the drought period that took place in the first half of the 1990s it has been possible to observe the main source that led to welfare losses for each kind of user

unpacking multimethodology impacts of a community development intervention multimethodology interventions are being increasingly employed by operational researchers to cope with the complexity of real world problems in keeping with recent calls for more research into the realised impacts of multimethodology we present a detailed account of an intervention to support the planning of business ideas by a management team working in a community development context drawing on the rich steam of data gathered during the intervention we identify a range of cognitive task and relational impacts experienced by the management team during the intervention these impacts are the basis for developing a process model that accounts for the personal social and material changes reported by those involved in the intervention the model explains how the intervention s analytic and relational capabilities incentivise the interplay of participants decision making efforts and integrative behaviours underpinning reported intervention impacts and change our findings add much needed empirical case material to enrich further our understanding of the realised impacts of operational research interventions in general and of multimethodology interventions in particular

selecting a portfolio of nonhomogeneous r d proposals abstract this article reports a procedure developed to assist the u s department of energy in the selection of a portfolio of proposals addressing the design and manufacture of components of solar photovoltaic arrays and complete photovoltaic systems considerations such as the relative importance of the different components in the overall effort compatibility of the proposed designs and budgetary and programmatic issues were complicating factors the technical quality of each proposal was represented by multiple evaluation measures these were combined into a single index through the use of multi attributeutility function indices representing the relative importance of the various components were then developed and results in measurable value theory were applied to derive an index of technical quality of a portfolio of proposals the problem was then formulated as an integer program it was solved by using an interactive branch and bound code that allowed for sensitivity analysis before selecting the portfolio of proposals for funding the procedure was successfully applied to funding a portfolio of proposals aimed at reducing the cost of producing photovoltaic arrays and to several other government sponsored procurements

dynamic portfolio selection of npd programs using marginal returns selecting program portfolios within a budget constraint is an important challenge in the management of new product development npd optimal portfolios are difficult to define because of the combinatorial complexity of project combinations however at the aggregate level of the strategic allocation of resources across product lines investment in a program is not an all or nothing decision but can beadjusted resulting in a higher or lower program benefit e g higher or lower quality in some cases resources can be adjusted even for individual projects with this insight one can usemarginal analysis to optimally allocate the scarce budget this article develops a dynamic model of resource allocation taking into account multiple interacting factors such as independent or correlated uncertain market payoffs that change over time increasing or decreasing returns from the npd investment carry over of the investment benefit over multiple periods and interactions across market segments we characterize optimal policies in closed form and derive qualitative decision rules for managers

contingent portfolio programming for the management of risky projects methods for selecting a research and development r d project portfolio have attracted considerable interest among practitioners and academics this notwithstanding the industrial uptake of these methods has remained limited partly because of the difficulties of capturing relevant concerns in r d portfolio management motivated by these difficulties we develop contingent portfolio programming cpp which extends earlier approaches in that it i uses states of nature to capture exogenous uncertainties ii models resources through dynamic state variables and iii provides guidance for the selection of an optimal project portfolio that is compatible with the decision maker s risk attitude although cpp is presented here in the context of r d project portfolios it is applicable to a variety of investment problems where the dynamics and interactions of investment opportunities must be accounted for

urban cassava markets the impact of fresh root storage abstract the authors explain how although fresh cassava is important in rural nutrition its importance in urban areas is limited and declining in colombia the third most important cassava producing country in latin america both the structure of the marketing channel and consumer preferences are considered in explaining this difference the principal factor limiting urban market volume and demand is identified as the rapid root post harvest deterioration which necessitates high margins to cover marketing risks appropriate storage techniques which overcome this problem are evaluated and their possible positive impact through reduction of marketing margins on retail and farmgate prices and on urban consumption is estimated a strategy for storage technology adoption is discussed

a review article the case against the use of the sum of compensating variations in cost benefit analysis this paper presents a case against the use of the sum of compensating varia tions as a cost benefit test we argue that 1 the ethical judginents implied by the test are not defensible 2 positive sums of compensating variations occur without potential pareto improvements resulting in social preference reversals without simultaneous scitovsky re versals 3 when lump sum transfers are feasible a positive sum of compensating variations is necessary but not sufficient for a potential pareto improvement 4 in order to eliminate preference reversals and intransitivities all households must have almost identical quasi homothetic preferences a condition that is not satisfied in real economies