models for referendum data the structure of discrete choice models for contingent valuation abstract in 1979 bishop and heberlein introduced an appealing variant of the contingent valuation method which required only yes or no responses hanemann developed a utility theoretic interpretation of the yes no responses which has helped popularize the approach recently cameron has offered another interpretation also utility theoretic which she argues is more general than the hanemann random utility model this paper compares the deterministic models suggested by hanemann and cameron showing them to be dual to each other it shows that correct specification of either function must exclude endogenous variables such as quantity demanded it also demonstrates that using utility theoretic models allows one to compare travel cost models and contigent valuation models on the basis of their implied behavior not on the unobservable surplus or variation measure

theoretical and empirical specifications issues in travel cost demand studies the ultimate objective of empirical travel cost demand studies is to obtain an estimate of the welfare derived from utilizing outdoor recreational resources thus it is apparent that travel cost demand equations must be linked to utility maximization deyak and smith freeman bockstael and mcconnell hanemann bockstael hanemann and strand we specify a model of utilitymaximizing recreation demand behavior which postulates that individuals choose the total number of days that they wish to spend at the recreation site this total number of recreation days is the product of the number of trips

does no mean no a protest methodology in this paper we propose a method of identifying and truncating protesters in contingent valuation surveys we propose using a system of willingness to pay wtp questions that value multiple goods and that use both discrete choice and open ended questions coupled with multiple questions about protest beliefs administered to the entire sample protesters can then be identified because they reject all bids declare zero on all open ended questions and hold protest beliefs the proposed procedure has been empirically tested on an air pollution data set from poland where 27 of the sample was identified as protesters the adjustment for protesters increased the estimated wtp values by a factor of more than 3

multi factor performance measure model with an application to fortune 500 companies abstract the paper develops tools for reconciling diverse measures which characterize the financial performance of the fortune 500 companies the technology of data envelopment analysis dea is employed to determine a multi factor financial performance model which inherently recognizes tradeoffs among various financial measures this study offers an alternative perspective and characterization on the performance of the fortune 500 companies it is shown that the top ranked companies by revenue do not necessarily have top ranked performance viewed as being multidimensional only about 3 companies were operating on the best practice frontier substantial technical and scale inefficiencies are found decreasing returns to scale drs are uncovered among the relatively large revenue top ranked companies the study of congestion shows that a reduction in current levels of employees assets and equity may actually increase revenue and profit levels factor specific measures within the framework of multidimensional measure are developed to further study the performance of companies and industries the performance of best practice frontier companies is analyzed by constructing reference share measures which indicate the role each frontier company plays in evaluating non frontier companies finally the reliability of the best practice frontier is examined

trends in family labour hired labour and contract work on french field crop farms the role of the common agricultural policy abstract this paper investigates french field crop farms use of various types of labour during the period 1990 2007 we explore the determinants of the three types of labour used on farm family labour hired labour and contract labour with a particular emphasis on the impact of common agricultural policy cap reforms and subsidies on the three labour types we estimate a system of three equations including a censored model using the french farm accountancy data network fadn database we find that hired labour and contract labour are substitutes as expected but that hired labour and family labour are complements this may reveal complementarities between management tasks which are specifically for the farm head and family labour and technical operations the only operations performed by hired labour in addition we find that in general crop area payments and single farm payments sfp have reduced farm labour while agri environmental payments less favoured area lfa payments and investment subsidies have increased it our results agree with most of the literature that coupled and decoupled area payments reduce labour use on farms

efficiency analysis for exogenously fixed inputs and outputs we evaluate by means of mathematical programming formulations the relative technical and scale efficiencies of decision making units dmus when some of the inputs or outputs are exogenously fixed and beyond the discretionary control of dmu managers this approach further develops the work on efficiency evaluation and on estimation of efficient production frontiers known as data envelopment analysis dea we also employ the model to provide efficient input and output targets for dmu managers in a way that specifically accounts for the fixed nature of some of the inputs or outputs we illustrate the approach using real data for a network of fast food restaurants

monte carlo benchmarks for discrete response valuation methods this paper argues that the belief that discrete contingent valuation cv questions yield substantially larger estimates of the mean and the median willingness to pay wtp for nonmarket resources in comparison to open ended cv questions is unfounded monte carlo experiments estimate the factors influencing the performance of wtp estimates based on discrete response models most of the error arises from the specification errors common to the empirical models in the literature these experiments suggest models where wtp is dominated by nonuse or passive use values are likely to have smaller errors than where large use values influence these decisions

differences between continuous and discrete contingent value estimates in a split sample contingent valuation study of willingness to pay wtp for food safety improvements the dichotomous choice dc elicitation method consistently generated much larger estimates of wtp than did a continuous method little or none of these differences was due to bias introduced by the statistical techniques used with the dc data most or all of the difference was due to differences in respondent behavior in addition the continuous wtp responses showed a significant scope effect while the dc responses did not the observed difference in behavior may be attributable in part to yea saying by dc respondents

precision of dichotomous choice contingent valuation welfare measures some simulation results the purpose of this research is to examine the roles of individuals heterogeneous economic factors and model misspecification in dichotomous choice contingent valuation welfare measurement willingness to pay for an improvement of environmental quality is studied simulation results indicate that the precision of welfare estimates increases with individuals income levels and decreases with the price of the quality related good the dependence of the consumption of the quality related good on the environmental quality also affects the reliability of welfare estimates

some models for estimating technical and scale inefficiencies in data envelopment analysis in management contexts mathematical programming is usually used to evaluate a collection of possible alternative courses of action en route to selecting one which is best in this capacity mathematical programming serves as a planning aid to management data envelopment analysis reverses this role and employs mathematical programming to obtain ex post facto evaluations of the relative efficiency of management accomplishments however they may have been planned or executed mathematical programming is thereby extended for use as a tool for control and evaluation of past accomplishments as well as a tool to aid in planning future activities the ccr ratio form introduced by charnes cooper and rhodes as part of their data envelopment analysis approach comprehends both technical and scale inefficiencies via the optimal value of the ratio form as obtained directly from the data without requiring a priori specification of weights and or explicit delineation of assumed functional forms of relations between inputs and outputs a separation into technical and scale efficiencies is accomplished by the methods developed in this paper without altering the latter conditions for use of dea directly on observational data technical inefficiencies are identified with failures to achieve best possible output levels and or usage of excessive amounts of inputs methods for identifying and correcting the magnitudes of these inefficiencies as supplied in prior work are illustrated in the present paper a new separate variable is introduced which makes it possible to determine whether operations were conducted in regions of increasing constant or decreasing returns to scale in multiple input and multiple output situations the results are discussed and related not only to classical single output economics but also to more modern versions of economics which are identified with contestable market theories

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

a test of the equality of closed ended and open ended contingent valuations a test is developed to find whether open ended and closed ended contingent valuation mechanisms lead to significantly different results the test is based on joint estimation of willingness to pay responses to open and closed ended questions asked of the same sample of individuals in a public good example individuals do respond differently depending on question format possible explanations include different incentives for strategic behavior and respondents lack of familiarity with the open ended question type no differences in willingness to pay were found in a private good example

effect of public subsidies on farm technical efficiency a meta analysis of empirical results abstractinvestigating the impact of public subsidies on farm technical efficiency is becoming a critical issue in applied agricultural policy analysis this article presents a meta analysis of empirical results on this issue based on data gathered from a systematic literature review we find that in the empirical literature subsidies are commonly negatively associated with farm technical efficiency meta regression estimation results show that the direction significantly negative significantly positive or non significant of the observed effects is sensitive to the way subsidies are modelled in the empirical studies

sensitivity of willingness to pay estimates to bid design in dichotomous choice contingent valuation models this paper addresses the sensitivity of dichotomous choice contingent valuation method dc cvm based mean willingness to pay wtp estimates to the dc cvm sample design and to alternative measures of wtp this issue is examined both analytically and empirically the analysis of ten different dc cvm data sets revealed a sensitivity in estimated mean wtp to the sample design and to the measure chosen to calculate mean wtp

are hospitals seasonally inefficient evidence from washington state efficiency measurement has been one of the most extensively explored areas of health services research over the past two decades despite this attention few studies have examined whether a provider s efficiency varies on a monthly quarterly or other sub annual basis this article presents an empirical study that looks for evidence of seasonal inefficiency using a quarterly panel of general acute care hospitals from washington state we find that hospital efficiency does vary over time however the nature of this dynamic inefficiency depends on the type of efficiency being measured our results suggest that technical and cost efficiency vary by quarter allocative and scale efficiency also vary on a quarterly basis but only if the data are jointly disaggregated by quarter and another firm specific factor such as size or operating status thus future research corporate decisions and government policies designed to improve the efficiency of hospital care need to account for seasonal trends in hospi

diseconomies of size with fixed managerial ability managerial ability has important implications for farm growth in this article we first show in a production model that increasing output with a fixed level of managerial ability can lead to a decrease in profits next we discuss the effect that managerial ability has on economies of size in the empirical part economies of size are estimated for a sample of dairy farms using a proxy for managerial ability which is calculated as a technical efficiency index the results show that increasing farm size while holding managerial ability constant can be an important source of diseconomies of size copyright 2003 oxford university press

a new paradigm for valuing non market goods using referendum data maximum likelihood estimation by censored logistic regression abstract this paper challenges the w m hanemann amer j agr econom 66 332 341 1984 and c sellar j p chavas and j r stoll j environ econom management 13 382 390 1986 utilizations of logit models to estimate the value of non market resources from referendum survey data these data are more informative than conventional choice data the random utility interpretation of logit models is therefore too restrictive bypassing the utility function entirely it will be shown that parameters and standard errors for utility theoretic inverse hicksian demand functions can be extracted directly and much more simply estimated demand functions need not be limited to those corresponding to the linear in parameters utility difference specifications which can be handled by packaged logit programs

benchmarking urban energy efficiency in the uk this study asks what is the best way to measure urban energy efficiency there has been recent interest in identifying efficient cities so that best practices can be shared a process known as benchmarking previous studies have used relatively simple metrics that provide limited insight on the complexity of urban energy efficiency and arguably fail to provide a fair measure of urban performance using a data set of 198 urban uk local administrative units three methods are compared ratio measures regression residuals and data envelopment analysis the results show that each method has its own strengths and weaknesses regarding the ease of interpretation ability to identify outliers and provide consistent rankings efficient areas are diverse but are notably found in low income areas of large conurbations such as london whereas industrial areas are consistently ranked as inefficient the results highlight the shortcomings of the underlying production based energy accounts ideally urban energy efficiency benchmarks would be built on consumption based accounts but interim recommendations are made regarding the use of efficiency measures that improve upon current practice and facilitate wider conversations about what it means for a specific city to be energy efficient within an interconnected economy

estimating technical and allocative efficiency in the public sector a nonparametric analysis of dutch schools abstract public sector output provision is influenced not only by discretionary inputs but also by exogenous environmental factors in this paper we extended the literature by developing a conditional dea estimator of allocative efficiency that allows a decomposition of overall cost efficiency into allocative and technical components while simultaneously controlling for the environment we apply the model to analyze technical and allocative efficiency of dutch secondary schools the results reveal that allocative efficiency represents a significant 37 percent of overall cost efficiency on average although technical inefficiency is still the dominant part furthermore the results show that the impact of environment largely differs between schools and that having a more unfavorable environment is very expensive to schools these results highlight the importance of including environmental variables in both technical and allocative efficiency analysis

on the choice of funtional form for hedonic price functions this study examines how errors in measuring marginal attribute pric es vary with the form of the hedonic price function in simulations consumers with known utility functions bid for houses with given attributes various forms of the hedonic function are estimated using equilibrium housing prices errors in estimating marginal attribute prices are calculated by comparing each consumer s equilibrium marginal bid vector with the gradient of the hedonic function when all attributes are observed linear and quadratic box cox forms produce lowest mean percentage errors however when some attributes are unobserved or are replaced by proxies linear and linear box cox functions perform best copyright 1988 by mit press

modeling undesirable factors in efficiency evaluation abstract data envelopment analysis dea measures the relative efficiency of decision making units dmus with multiple performance factors which are grouped into outputs and inputs once the efficient frontier is determined inefficient dmus can improve their performance to reach the efficient frontier by either increasing their current output levels or decreasing their current input levels however both desirable good and undesirable bad factors may be present for example if inefficiency exists in production processes where final products are manufactured with a production of wastes and pollutants the outputs of wastes and pollutants are undesirable and should be reduced to improve the performance using the classification invariance property we show that the standard dea model can be used to improve the performance via increasing the desirable outputs and decreasing the undesirable outputs the method can also be applied to situations when some inputs need to be increased to improve the performance the linearity and convexity of dea are preserved through our proposal

anticipating the consequences of school reform a new use of dea we use dea type linear programming techniques to simulate a basic component of educational reform eliminating restrictions on the allocation of school personnel our technique allows us to identify potential output gains or equivalently potential cost savings from reform we can also identify which personnel groups are likely to gain and lose under this reform when we apply our model to a sample of texas school districts we find evidence that the educational establishment has substantial economic rents to protect from school reform and that the primary beneficiaries of reform are likely to be affluent school districts with few minority students the technique which relies on the relationship between the direct and indirect distance functions can be easily generalized to measure the potential gains from removing other input restrictions such as union work rules environmental regulations or deed restrictions

estimating most productive scale size using data envelopment analysis abstract the relation between the most productive scale size mpss for paparticular input and output mixes and returns to scale for multiple inputs multiple outputs situations is explicitly developed this relation is then employed to extend the applications of data envelopment analysis dea introduced by charnes cooper and rhodes ccr to the estimation of most productive scale sizes for convex production possibility sets it is then shown that in addition to productive inefficiencies at the actual scale size the ccr efficiency measure also reflects any inefficiencies due to divergence from the most productive scale size two illustrations of the practical applications of these results to the estimation of most productive scale sizes and returns to scale for hospitals and stem electric generation plants are also provided emphasize the advantage of this method in examining specific segments of the efficient production surface

the eu s agenda 2000 reform for the agricultural sector environmental and economic effects in denmark abstract the agenda 2000 reform agreed on by the eu government leaders in the spring of 1999 implies considerable changes in eu agricultural policy the reform involves both reductions in price support and compensations in the form of hectare and animal support the agenda 2000 reform may have considerable environmental and economic effects and in this article we assess these effects within an integrated model system we calculate environmental effects changes in nitrogen loading in the terrestrial environment and the danish marine waters changes in oxygen concentrations in the inner danish marine waters and changes in emissions of the greenhouse gases methane and nitrous oxide as well as economic effects effects on private consumption gdp the balance of payments and employment the results indicate that the agenda 2000 reform has significant economic costs but almost no effects on the environment either positive or negative

does question format matter valuing an endangered species a three way treatment design is used to compare contingent valuation response formats respondents are asked to value an endangered species the red cockaded woodpecker and the restor ation of its habitat following a natural disaster for three question formats open ended payment card and double bounded dichotomous choice differences in survey response rates item non response rates and protest bids are examined bootstrap techniques are used to compare means across formats and to explore differences in willingness to pay wtp distribution functions convergent validity is found in a comparison of mean wtp values although some differences are apparent in the cumulat ive distribution functions differences across formats are also identified in item non response rates and proportion of protest bids overall the payment card format exhibits desirable properties relative to the other two formats

energy efficiency measurement in agriculture with imprecise energy content information abstract measuring energy efficiency is crucial when planning energy reduction policies however decision makers are understandably reluctant to act in the absence of solid data and results supporting a policy position this paper proposes a methodology to measure the energy efficiency of farms based on the data envelopment analysis dea approach in a manner similar to the cost framework we decompose energy efficiency measurements into technical and allocative efficiencies in energy contents of inputs in this study we replace input prices used in traditional economic efficiency measurements by their energy content we use the energy efficiency model to explore the optimal input mix that produces the current outputs at minimum energy consumption we demonstrate that this decomposition can help policy makers design accurate energy policies however the uncertainty of the data and more particularly the energy content of the inputs leads us to recommend using the methodologies to calculate the bounds of efficiency to obtain more plausible and robust results based on our analysis energy efficiency is not a fixed value and policy makers should consider it with caution we use a 2007 database of french farms specialised in field crops for empirical illustration

contingent valuation controversies and evidence contingent valuation cv has become one of the most widely used non market valuation techniques cv s prominence is due to its flexibility and ability to estimate total value including passive use value its use and the inclusion of passive use value in benefit cost analyses and environ mental litigation are the subject of a contentious debate this paper discusses key areas of the debate over cv and the validity of passive use value we conclude that many of the alleged problems with cv can be resolved by careful study design and implementation we further conclude that claims that empirical cv findings are theoretically inconsistent are not generally supported by the literature the debate over cv however has clarified several key issues related to nonmarket valuation and can provide useful guidance both to cv practitioners and the users of cv results

phasing out of environmentally harmful subsidies consequences of the 2003 cap reform abstract subsidies linked to production have been classified as environmentally harmful by the oecd a core element of the eu 2003 common agricultural policy cap reform is to decouple income support from production this paper estimates the environmental consequences of this policy reform an agricultural sector model using a modified version of the positive mathematical programming method depicts the complex natural structural and political relationships of austrian farming changes in management measures can be analyzed with respect to their environmental effects by using appropriate indicators simulation results show that the 2003 cap reform will reduce the average cost of production and may improve environmental conditions regarding soil water and greenhouse gases when compared to a scenario without reform thus the new cap is likely to bring about outcomes which the previous reform agenda 2000 promised but did not deliver

an independent sample test of yea saying and starting point bias in dichotomous choice contingent valuation abstract we developed several diagnostic tools to test the convergent validity of two common contingent valuation elicitation procedures data were collected from independent samples receiving dichotomous choice and payment card questions we compared actual with counter factual responses using deterministic and monte carlo methods and we found that wtp distributions and mean values varied by the value elicitation method we also developed a paired comparison test for procedure variance which indicated that yea saying and starting point bias influenced dichotomous choice responses

testing willingness to pay models of discrete choice contingent valuation survey data this paper considers models of willingness to pay wtp based on dichotomous choice contingent valuation survey data and examines the effect of the survey design on tests of goodness of fit simulations show that eliciting single binary responses result in tests that have low power in detecting departures from the maintained distribution of wtp unless the sample size is truly large the power of the tests improves if a follow up question and a moderate number of sets of bid values are used and if the bids are not placed on the extreme tails of the wtp distribution

piecewise loglinear estimation of efficient production surfaces linear programming formulations for piecewise loglinear estimation of efficient production surfaces are derived from a set of basic properties postulated for the underlying production possibility sets unlike the piecewise linear model of banker charnes and cooper banker r d a charnes w w cooper 1984 models for the estimation of technical and scale inefficiencies in data envelopment analysis management sci 30 september 1078 1092 this approach permits the identification of increasing marginal products and estimation of the classical s shaped production functions methods are also provided for estimating technical inefficiencies and other production characteristics such as rates of substitution and transformation marginal products returns to scale and most productive scale sizes on the basis of observed production data the results of a simulation study are reported to illustrate the usefulness of this estimation method in empirical applications when there are a priori reasons to expect increasing marginal products in some regions of the production function a modified model is provided to extend this analysis to the situation of non competing outputs addressed by the bi extremal model of banker charnes cooper and schinnar banker r d a charnes w w cooper a schinnar 1981 a bi extremal principle for frontier estimation and efficiency evaluation management sci 27 december 1370 1382

comparing welfare estimates of environmental quality changes from recreation demand models abstract this paper presents a procedure for examining the reliability of welfare estimates resulting from the estimation of multiple site recreation demand models a simulation approach is suggested where a utility function is combined with observations on individual and site characteristics to generate simulated data sets welfare measures associated with an improvement in site quality are calculated recreation demand models are estimated using the simulated data sets estimated welfare measures resulting from the recreation demand models are then compared to the true welfare measures calculated from the simulated data the procedure is demonstrated using two commonly employed recreation demand models

contingent valuation and social choice the contingent valuation method for estimating the existence value of natural resources is examined for psychophysical robustness statistical reliability and economic sensibility extensions of standard models for willingness to pay and suitable econometric techniques for analyzing these models are developed the analysis is applied to a series of experiments on the value of preserving wilderness areas in the western united states the results call into question the reliability of the cv method for estimating existence values

efficiency subsidies and environmental adaptation of animal farming under cap the purpose of this article is to model the interaction between the targets of the current cap environmental adaptation subsidies and efficiency q1 of animal farming to this end we first have to identify the production frontier and relative efficiency level for each animal oriented farm in the sample the production frontier and efficiency index for each type of farm assuming no specific production functions are identified using data envelope analysis dea techniques we then address the relationship between relative efficiency farm size and environmentally friendly behavior by carrying out a nonparametric regression of efficiency on economic size a proxy for the degree of environmental appropriateness and regional dummies calculations of the efficiency of the farms including direct subsidies are compared with the counterfactual exercise in the case in which direct subsidies are not considered finally we look for relations between subsidies and factors such as farm size efficiency and environmentally friendly behavior one key result shows that on average direct payments generally tend to increase efficiency however in most of the cases the mean efficiency decreases as the percentage of direct payments rises direct payments are found to be positively related to environmentally friendly production at least in germany however in general the direct payment system is not sufficient to offset the fact that the less environmentally friendly farms as well as the larger farms are more efficient

measuring technical efficiency in the presence of pesticide spillovers and production uncertainty the case of dutch arable farms pesticides dynamic effects and production uncertainty play an important role in farmers production decisions pesticides have a current production impact through reducing crop damage in the current period and a future impact through impacting the farm biodiversity which alters the future production environment this study presents the difference in inefficiency arising from models that ignore the dynamic effects of pesticides in production decisions and the impact of production uncertainty a dynamic data envelopment analysis dea model is applied to outputs inputs and undesirables of dutch arable farms over the period 2003 2007 a bootstrap approach is used to explain farmers performance providing empirical representations of the impact of stochastic elements on production these empirical representations are used to adjust firms inefficiency scores to incorporate production uncertainty in efficiency evaluation we find that efficiency increased dramatically when a production technology representation that considers both pesticides dynamic impacts and production uncertainty is adopted

a comparative application of data envelopment analysis and translog methods an illustrative study of hospital production this paper compares inferences about hospital cost and production correspondences from two different estimation models 1 the econometric modeling of the translog cost function and 2 the application of data envelopment analysis dea while there are numerous examples of the application of each approach to empirical data this paper provides insights into the relative strengths of the estimation methods by applying both models to the same data the translog results suggest that constant reruns are operant whereas the dea results suggest that both increasing and decreasing returns to scale may be observed in different segments of the production correspondence in turn suggesting that the translog model may be averaging diametrically opposite behavior on the other hand by examining the rate of output transformation both models agree that patient days devoted to care of children are more resource intensive than those devoted to adults or to the elderly in addition we compare estimates of technical efficiencies of individual hospitals obtained from the two methods the dea estimates are found to be highly related to the capacity utilization but no such relationship was found for the translog estimates this comparative application of different estimation models to the same data to obtain inferences about the nature of underlying cost and production correspondences sheds interesting light on the strengths of each approach and suggests the need for additional research comparing estimation models using real as well as simulated data

functional form and the statistical properties of welfare measures this paper uses monte carlo analysis to compare the variance of consumer s surplus for several functional forms for demand although the semilog and linear forms fit the data well by statistical criteria the coefficients of variation for consumer s surplus generated by these forms were substantially larger than for the double log and linear log forms while this paper is framed in the travel cost approach to recreational demand there are implications for the choice of functional form whenever the measure of interest is a nonlinear transformation of the estimated parameters in an influential article ziemer musser and hill note the importance of the choice of functional form for the magnitude of estimated measures of welfare change in a study of the demand for a recreation site based on the travel cost model they report nearly a fourfold difference between consumer s surplus based on a linear demand curve and surplus computed from a semilog demand their research emphasizes that good estimates of demand may not yield good estimates of welfare the estimate of consumer s surplus is a

valuing public goods discrete versus continuous contingent valuation responses independent applications of open ended and dichotomous choice formats are compared using tests of means estimating joint likelihood functions and nonparametric tests of distributions the null hypothesis of no difference in the open ended and dichotomous choice estimates of central tendency cannot be rejected for two out of three data sets while estimated standard deviations are significantly different for all three data sets in addition actual dichotomous choice means and standard deviations exceed those from comparable synthetic dichotomous choice data sets suggesting either open ended questions underestimate values or dichotomous choice bid structures may lead to systematic overestimates

comparing continuous and discrete contingent valuation questions this paper explores two commonly used methods to elicit an individual s willingness to pay wtp for a public good in contingent valuation studies currently the most preferred method is the take it or leave valuation question or discrete valuation question dvq where the respondent accepts or rejects a suggested cost for the good the traditional method the continuous valuation question cvq simply asks an individual to state his wtp for the suggested change in the provision of a public good like cleaner air we introduce a simple way to compare the results from these two methods we also test the anchoring behavior suggested in the psychological literature on choice under uncertainty the results do not support the anchoring hypothesis but suggest the hypothesis that people perceive the two tested valuation questions differently

the evolution and main determinants of productivity in brazilian electricity distribution 1998 2005 an empirical analysis abstract this paper estimates changes in the productivity of the brazilian electricity distribution sector using data envelopment analysis dea on a panel of 18 firms from 1998 to 2005 the study decomposes the productivity change of these distribution firms in terms of technical efficiency scale efficiency and technical progress this exercise aims to help the understanding of the main determinants of the evolution of productivity focusing its relationship with the restructuring process implemented in the 1990s tfp index records a yearly positive growth rate of 1 3 in the whole period under analysis for all firms technical change was the main component behind this evolution with an average growth of 2 1 per year while technical efficiency presented a yearly negative performance of 0 8 the results prove that in general terms the incentives generated in the reform process do not seem to have led the firms to behave in a more efficient manner

modeling beef supply response and price volatility under cap reforms the case of greece abstract this study examines the supply response of the greek beef market and the possible effect of the european union s common agricultural policy cap on the greek beef sector during the period 1993 2005 a generalized autoregressive conditional heteroskedasticity garch process is used to estimate expected price and price volatility while several different symmetric asymmetric and non linear garch models are estimated the empirical results show that price volatility and feed price are important risk factors in the supply response function while the negative asymmetric price volatility that was detected implies that producers have a weak market position furthermore the empirical findings confirm that the annual premium paid by the eu to beef producers had a positive impact on the production level and also the change of the eu price support regime after 2006 is having negative effects on beef production level in greece