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

empirical strategies for incorporating weak complementarity into consumer demand models abstract this article appraises existing empirical strategies for incorporating weak complementarity into consumer demand models the repackaging integrating back and discontinuity approaches are evaluated in terms of their behavioral implications and potential usefulness for applied research the appraisal suggests that the repackaging approach offers the most flexibility and tractability in the multi good demand system framework but the integrating back approach holds considerable promise in the single good context a multi good empirical comparison suggests that qualitatively similar policy inference arises from different repackaging approaches

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

a trait based model of the potential demand for a genetically engineered food crop in a developing economy we predict the potential demand of smallholder farmers for genetically transformed varieties of a food crop the cooking banana of the east african highlands farmer demand for planting material is derived in an agricultural household model that accounts for variety traits and missing markets the demand for candidate host varieties is predicted using a zero inflated poisson zip regression system the fitted model is used to illustrate the sensitivity of farmer demand for improved planting material to a investments in research and development represented by the effectiveness of gene insertion and expression and b other public investments in education extension and market infrastructure that support diffusion by comparing the characteristics of agricultural households we demonstrate that the choice of host variety can have social consequences favoring one rural population compared with another clients for transgenic banana planting material are likely to be poorer subsistence oriented farmers in areas greatly affected by biotic constraints a model of this type might be useful in assessing the investments needed to support the systematic dissemination of improved planting material the approach can be generalized to other crop biotechnologies for smallholder farming systems particularly in developing economies

household labor market choices and the demand for recreation this paper introduces household labor market choices into the demand for recre ation showing that the opportunity cost of time wage rate connection is severed when several household members have the opportunity to par ticipate in the labor market at fixed wages an ap plication of recreation demand for households in new bedford massachusetts shows that the rec reation demand models and estimates of con sumer surplus are sensitive to household labor market choices q26

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

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

are different vintages of data on the components of gdp co integrated some evidence for the united kingdom abstract the process of data revision is often an extensive one giving rise to different time series on the same variable with potentially different properties in this study we ask whether different vintages of data are cointegrated and find for our data set on the income components of united kingdom gdp that this is not always the case although in general later vintages are more likely than earlier vintages to be co integrated with the final vintage a lack of co integration favours rejection of the view that preliminary vintages are efficient forecasts of the final vintage

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

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

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

the state dependence of output revisions abstract this paper investigates whether economic activity dynamics predict gdp revisions using panel data from 15 oecd countries we find that economic activity predicts gdp revisions early releases tend to overestimate gdp growth during slowdowns and vice versa we also find that the source of the predictability could be related to the sampling of information collection finally the predictability comes from short term economic activity dynamics rather than business cycle position

site aggregation in a random utility model of recreation random utility models are commonly used to model the choice among a set of alternatives often due to data or computational constraints the analyst must use aggregated alternatives to estimate the model these aggregates are defined by averaging characteristics of alternatives over prespecified groups in this analysis we demonstrate that unless some very restrictive conditions hold the use of aggregated alternatives will lead to biased results then using a data set of recreational fishing in wisconsin we show the effects that this bias can have on the results estimated from the model

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

estimating the cost of leisure time for recreation demand models abstract in this paper we propose a method of determining the opportunity cost of leisure time with an empirical recreation demand application typically the opportunity cost of leisure time is assumed to be some fraction of the wage rate this practice has limitations first it assumes that individuals can trade time for money at their wage second it offers no guidance about how to value the time of an individual who is not in the labor force this paper proposes a method of determining this cost that does not suffer from these drawbacks an empirical example is provided which demonstrates the proposed approach and contrasts it with commonly applied approaches

willingness to pay for environmental protection in germany coping with the regional dimension in this paper a two step procedure is applied to estimate an indicator of environmental willingness to pay for germany in considerable regional disaggregation the first step is the estimation of an ordered probit model based on individual data from a representative survey in the second step this model is applied to aggregate nuts iii level data to produce an indicator of regional willingness to pay which is useful for the design of an efficient environmental policy it turns out that the regional distribution of willingness to pay is dominated by the distribution of income in this data set a partir d une approcheadeux etapes cet article cherche a estimer sur le plan regional un indicateur de la volonte de payer la protection de l environnement en allemagne dans un premier temps on estime un modele du type probit ordonne sur la base des donnees individuelles provenant d une enquete representative dans un deuxieme temps le modele se voit appliquer a des donnees globales du type nuts iii afin de pr

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

a latent segmentation approach to a kuhn tucker model an application to recreation demand abstract in this paper we extend the latent segmentation approach to the kuhn tucker kt model the proposed approach models heterogeneity in preferences for recreational behavior using a utility theoretical framework to simultaneously model participation and site selection decisions estimation of the latent segmentation kt model with standard maximum likelihood techniques is numerically difficult because of the large number of parameters in the segment membership functions and the utility function for each latent segment to address this problem we propose the expectation maximization em algorithm to estimate the model in the empirical section we implement the em latent segmentation kt approach to analyze a southern california beach recreation data set our empirical analysis suggests that three groups exist in the sample using the model to analyze two hypothetical beach management policy scenarios illustrates different welfare impacts across groups

what is consumer s surplus per day of use when is it a constant independent of the number of days of use and what does it tell us about consumers surplus abstract an individual s consumer s surplus per day of use for a change in the price of recreational site is the price change so it is a constant independent of the number of days of use consumer s surplus per day of use for a change in a site s characteristics is not in general a constant when a constant compensating variation per day of use exists it multiplied by the number of days at the site in the original state proposed state bounds the compensating variation cv from below above the average of these two approximations is an almost second order approximation to the cv simulations indicate the approximation biases can be large

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

keep it real a real time uk macro data set abstract we present a real time macro data set for the uk each variable has many different vintages reflecting the revisions and updates that occur over time our aim is to provide a resource for researchers evaluating uk forecasting performance and policy making in real time we illustrate the importance of these data by analysing their impacts on uk inflation forecasts and monetary policy in the late 1980s contrary to the view of contemporary policy makers we find that the initial measurements of demand side macro variables did not disguise inflationary pressures

four models for determining environmental quality effects on recreational demand and regional economics abstract underestimation of regional economic effects associated with the improvement of recreation facilities or environmental quality at a recreation site is likely to result unless all four recreation choice decisions are included in estimates of the first round or direct changes in final demand these four related recreation choices are 1 decision to participate in a given recreation activity 2 decision about which of the available sites to visit 3 decision about the frequency of trips to take to a given site and 4 decision about length of stay at the recreation site recent advances in statistical techniques for modeling each one of these four recreation choice decisions is presented we emphasize how recreation facilities and site environmental quality can be incorporated into such models lastly an empirical example of using a related multinomial logit site selection model and trip frequency model for deer hunting allows us to illustrate how linking two of the four recreation choices yields more complete estimates of the change in number of trips income and employment

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

a structural equations approach to modeling consumptive recreation demand abstract in this analysis we develop a two equation structural model of a count travel cost model of recreational angling demand and angling success by modeling the two equations jointly we avoid the difficulties associated with the usual approach which estimates the demand for recreational fishing sites assuming the existence of an exogenous measure of fishing quality our analysis explicitly develops the joint log likelihood function that combines the two processes we estimate our model using full information maximum likelihood methods

testing choice experiment for benefit transfer with preference heterogeneity benefit transfer is a cost effective method for estimating the value of environmental goods that relies on information obtained in previous studies the multiattribute approach of choice experiments should provide advantages in terms of benefit transfer allowing differences in environmental improvements between sites as well as differences in socioeconomic and attitude characteristics between respondent populations this article investigates the capability of choice experiment method to be used in environmental benefit transfer when a random parameters approach is used to allow for preference heterogeneity we find that the inclusion of respondents taste heterogeneity reduces the magnitude of the transfer error

profitability in india s organized manufacturing sector the role of technology distribution and demand using aggregate data from the annual survey of industries we analyze profitability in india s organized manufacturing sector from 1982 83 to 2012 13 over the whole period of analysis the rate of profit grew at about 1 per annum primarily driven by a rising share of profits we use visual inspection to identify five shorter run profitability regimes 1982 91 1991 96 1996 2001 2001 07 and 2007 12 profit rate decomposition analysis shows that both technological factors and aggregate demand have been important determinants of changes in profitability in these shorter periods

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

recovering individual preferences for non market goods a collective travel cost model traditional recreation demand models do not make a distinction between a household and an individual as the reference decision making unit thus assuming that a family maximizes a single utility function even if the family consists of different individuals such models ignore the possibility of family members divergent preferences for non market goods this study proposes a novel approach the collective travel cost model ctcm to eliciting individual preferences for a non market good such as a recreation site by using revealed preference data this approach accounts for the intra household resource allocation and the role of each household member s preferences we show that the collective travel cost model can be applied to estimating a recreation demand model that yields individual welfare estimates appropriate for policy analysis of non market goods such as the willingness to pay to access a recreation site we find that how resources are distributed within the household reflects significant differences in welfare measures

non price equilibria for non marketed goods abstract as part of the resources for the future frontiers of environmental economics collection of papers we consider the problem of general equilibrium feedback effects in non price space as they relate to non market valuation our overall objective is to examine the extent to which non price equilibria arising from both simple and complex sorting behavior can be empirically modeled and the resulting differences in partial and general equilibrium welfare measures quantified after motivating the problem in general we consider the specific context of congestion in recreation demand applications which we classify as the outcome of a simple sorting equilibrium using both econometric and computable general equilibrium cge models we examine the conceptual and computational challenges associated with this class of problems and present findings on promising solution avenues we demonstrate the relevance of accounting for congestion effects in recreation demand with an application to lake visits in iowa our econometric and cge results confirm that for some plausible counterfactual scenarios substantial differences exist between partial and general equilibrium welfare estimates we conclude the paper by describing tasks that are needed to move forward research in this area

reducing barriers in future benefit transfers needed improvements in primary study design and reporting abstract original research provides many social benefits including additions to our stock of knowledge benefit transfer is a formal process whereby our stock of knowledge rather than original research is used to inform decisions any shortcoming in this stock directly affects our ability to conduct valid and reliable benefit transfers this paper discusses three general criteria that are necessary for valid benefit transfers and how original research designs and reporting of results unnecessarily constrain the potential of benefit transfers we make several suggestions regarding how original research through improved design and reporting might increase the validity and reliability of benefit transfers we also recommend that repositories for original research surveys and data be developed to insure long term availability of study information

technology distribution and the rate of profit in the us economy understanding the current crisis this paper offers a synoptic account of the state of the debate among marxist scholars regarding the current structural crisis of capitalism identifies two broad streams within the literature dealing in turn with aggregate demand and profitability problems and proceeds to concentrate on an analysis of issues surrounding the profitability problem in two steps first evidence on profitability trends for the non farm non financial corporate business the non financial corporate business and the corporate business sectors in post war usa are summarised a broad range of profit rate measures are covered and data from both the us bureau of economic analysis nipa and fixed assets tables and the federal reserve flow of funds account are used second the underlying drivers of profitability in terms of technology and distribution are investigated the profitability analysis is used to offer some hypotheses about the current structural crisis copyright oxford university press

a representative consumer theory of the logit model the log it model is usually derived from a discrete choice approach with stoc hastic utilities it is shown here that the logit demand system may also be derived from the maximization of a deterministic entropy type utility the latter may be interpreted as the preference function of a representative consumer with variety seeking behavior this altern ative view suggests a generalization of the standard logit which allo ws total demand to be determined endogenously copyright 1988 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

applied welfare economics with discrete choice models economists have been paying increasing attention to the study of situations in which consumers face a discrete rather than a continuous set of choices such models are potentially very important in evaluating the impact of government programs upon consumer welfare but very little has been said in general regarding the tools of applied welfare economics indiscrete choice situations this paper shows how the conventional methods of applied welfare economics can be modified to handle such cases it focuses on the computation of the excess burden of taxation and the evaluation of quality change the results are applied to stochastic utility models including the popular cases of probit and logit analysis throughout the emphasis is on providing rigorous guidelines for carrying out applied work this abstract was borrowed from another version of this item

benefit incidence of public recreation areas have the winners taken almost all this study presents a framework for investigating the benefit incidence of provision of public recreation opportunities the proportion of individuals who use outdoor recreation services increases with income and frequency of use differs by the users gender and life situation e g depending on whether they are students or older citizens the decomposition of distributive incidence shows that a bias in favor of high income groups may be accentuated when the perceived value of these services is taken into account in monetary terms we compare alternative strategies in terms of equity for improving recreation opportunities e g reduced distance to or increased acreage of recreation sites our results indicate that although these strategies improve the welfare distribution among the income groups a considerable proportion of benefits nevertheless accrue to high income groups

financialisation and capital accumulation in the non financial corporate sector a theoretical and empirical investigation on the us economy 1973 2003 recent research has explored the growing financialization process in the u s and other advanced economies the term is a catch all phrase used to denote important changes in the structure of non financial corporations balance sheets including the growth of income from financial subsidiaries and investment as well as growth in the transfer of earnings to financial markets in the forms of interest payments dividend payments and stock buybacks this paper seeks to empirically explore the relationship between financialization in the u s economy and real investment at the firm level using data from a sample of non financial corporations from 1973 to 2003 i find a negative relationship between real investment and financialization first increased financial investment and increased financial profit opportunities may have crowded out real investment by changing the incentives of firm managers and directing funds away from real investment second increased payments to the financial markets may have impeded real investment by decreasing available internal funds shortening the planning horizons of the firm management and increasing uncertainty these two channels can help explain the negative relationship i find between investment and financialization

working wives and food away from home the box cox double hurdle model household expenditures on food away from home are analyzed with the use of the bls 1989 consumer expenditure survey parameterization and distributional assumptions of cragg s double hurdle model are generalized for this purpose and the resulting model outperforms the more traditional ones results suggest households with working wives and those with higher income are more likely to consume food away from home and also to consume more than others wife s age and household size increase the conditional level of consumption education has conflicting effects on probability and conditional level of consumption

meta analytic benefit transfer of outdoor recreation economic values testing out of sample convergent validity a benefit transfer approach to recreationeconomic valuation using meta analysis isexamined since the meta regression modeltakes into account some of the study specificeffects on willingness to pay wtp estimates benefit transfer using meta analysis couldyield a valid wtp estimate of unstudiedrecreation resources the convergent validityof the meta analytic benefit transfer is testedusing out of sample original studies from theu s the analyses are performed usingpercentage difference paired t test regression and correlation tests the testsreveal mixed results on convergence betweenestimated wtp using meta analytic benefittransfer function btf and out of sampleoriginal wtp values there is a fairly highpercentage difference between the estimated andoriginal wtp values 80 88 and the meandifferences are statistically significant asshown by paired t tests however correlationand regression results consistently showsignificant positive relationships betweennational btf estimated and original wtp valuesindicating some level of convergence theresults show that the national btf outperformthe regional btf indicating a potential of thenational btf for recreation benefit transferwhen a first best primary valuation study isnot affordable

the net benefit of saving the asian elephant a policy and contingent valuation study reports results from a contingent valuation cv survey of willingness to pay wtp for the conservation of the asian elephant of a sample of urban residents living in three selected housing schemes in colombo the capital of sri lanka face to face surveys were conducted using an interview schedule is a non linear logit regression model is used to analyse the respondents responses for the payment principle questions and to identify the factors that influence their responses we investigate whether urban residents wtp for the conservation of elephants is sufficient to compensate farmers for the damage caused by elephants we find that the beneficiaries the urban residents could compensate losers the fanners in the areas affected by human elephant conflict hec and be better off than in the absence of elephants in sri lanka therefore there is a strong economic case for the conservation of the wild elephant population in sri lanka however we have insufficient data to determine the optimal level of this elephant population in the kaldor hicks sense nevertheless the current population of elephant in sri lanka is kaldor hicks preferable to having none c 2003 elsevier b v all rights reserved

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

are preliminary announcements of the money stock rational forecasts abstract we develop a theoretical framework of analyzing preliminary announcements of economic data and then apply this framework to the money stock we find that preliminary announcements of the money stock are best characterized as measured with classical errors in variables that is the revision is not correlated with the true value of the series the revision is however forecastable using information available at the time of the preliminary announcement our ability to forecast the revision implies that preliminary announcements are not rational estimates of the true money stock

margins of multinational labor substitution multinational labor demand responds to wage differentials at the extensive margin when a multinational enterprise mne expands into foreign locations and at the intensive margin when an mne operates existing affiliates across locations we derive conditions for parametric and nonparamtric identification of an mne model to infer elasticities of labor substitution at both margins controlling for location selectivity prior studies rarely found foreign wages or operations to affect employment our strategy detects salient adjustments for german mnes with a one percent increase in german wages german mnes add 2 000 manufacturing jobs in eastern europe at the extensive margins and 4 000 jobs overall a converse one percent drop in eastern european wages is associated with an overall withdrawal of 730 mne jobs from germany

measuring market power in the ready to eat cereal industry the ready to eat cereal industry is characterized by high concentration high price cost margins large advertising to sales ratios and numerous introductions of new products previous researchers have concluded that the ready to eat cereal industry is a classic example of an industry with nearly collusive pricing behavior and intense nonprice competition this paper empirically examines this conclusion in particular i estimate price cost margins but more importantly i am able empirically to separate these margins into three sources i that which is due to product differentiation ii that which is due to multi product firm pricing and iii that due to potential price collusion the results suggest that given the demand for different brands of cereal the first two effects explain most of the observed price cost margins i conclude that prices in the industry are consistent with noncollusive pricing behavior despite the high price cost margins leading firms are able to maintain a portfolio of differentiated products and influence the perceived product quality it is these two factors that lead to high price cost margins

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

the economics of the profit rate competition crises and historical tendencies in capitalism part 1 the profit rate the economics of the profit rate a summary definitions and measures of the profit rate part 2 competition and prices of production prices of production long term equilibrium in classical and walrasian models the classical analysis of competition convergence part 3 general disequilibrium a general disequilibrium model development of the basic model proportions and dimension in the short and long terms out of the mainstream part 4 stability and business fluctuations the real and monetary determinants of macro in stability the impact of the profit rate on the macroeconomy business fluctuations in other paradigms part 5 technology and distribution a historical perspective the historical profile of the profit rate historical tendencies accumulation and growth profitability trends part 6 history profitability and management a chronological overview the historical dynamics of capitalism

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

what s the use welfare estimates from revealed preference models when weak complementarity does not hold abstract in this paper we consider the theoretical and empirical ramifications of welfare measurement in revealed preference models when weak complementarity does not hold in the context of a kuhn tucker model of recreation demand we show that while it is possible to estimate preferences that do not appear to exhibit weak complementarity the calculation of welfare measurements from these models requires a cardinal interpretation of preferences that cannot be tested furthermore we reiterate the under appreciated fact that even traditional use value estimates require a cardinal restriction on preferences that while often intuitive also cannot be tested we demonstrate empirically that the choice of restrictions can have significant ramifications as use value estimates can vary based on the assumed preference structure

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

reconsidering the economics of demand analysis with kinked budget constraints this paper has two objectives first we identify a problem with the ability of the discrete continuous choice framework and conditional demand functions to fully describe consumer preferences in the presence of kinked budget constraints second we propose and illustrate an alternative preference based method for estimating consumer responses to price changes under these conditions this framework recognizes that commitments to commodities such as pools or outdoor landscaping influence how water consumption responds to price changes as part of the long run consumption adjustments with microdata on household choices this approach could be used to design increasing block rate structures that recognize the differences in water consumption responses with these commitments

determinants of charitable donations in canada a comparison over time two issues are examined the statistical significance of a number of socio economic factors that affect the level of charitable giving are evaluated family wealth and age of the head of household tend to be significant determinants of charitable giving regardless of whether it is to all charities or to religious charities only such is not the case for the price of giving for instance the price of giving is an important determinant of all charitable contributions but almost non existent as a determinant for religious donations results such as this suggest that changes in marginal tax rates prompted by a switch to a tax credit as a substitute for a deduction and hence a change in the price of giving may have virtually no impact on contributions to religious organizations but may affect conntributions to other charitable organizations the extent to which some socio economic factors changed in relative importance as determinants of charitable giving from 1982 to 1986 is also reviewed

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

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

latent consideration sets and continuous demand systems this paper develops a theoretically consistent continuous demand system model that incorporates latent probabilistic consideration sets in contrast to existing discrete choice consideration models the proposed model is econometrically tractable with consumption data for many goods the model s empirical properties are illustrated with an 89 site recreation data set from the 1994 national survey of recreation and the environment nsre parameter and welfare estimates suggest that the latent consideration set models fit the data better and may imply a bias variance tradeoff relative to traditional models

public goods and the distribution of income abstract this article addresses conceptual issues concerning the distributive incidence of public goods solutions depend on the specific purposes for asking the question of distributive incidence notably assessing the extent to which various public goods should be provided determining how the provision of public goods affects the desirability of income redistribution and providing a meaningful description of the distribution of well being in the course of the analysis a simple and intuitive version of the benefit principle of taxation qualitatively different from those commonly advanced in pertinent literatures is presented and some of the problems confronting empirical attempts to measure the distributive incidence of public goods are resolved

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

estimating preferences for outdoor recreation a comparison of continuous and count data demand system frameworks abstract continuous and count data demand system models have emerged as attractive alternatives to the discrete choice random utility maximization models rums that currently dominate the seasonal multi site recreation demand literature this paper compares the frameworks conceptually and investigates their empirical performance with a common data set although the two modeling approaches employ substantially different behavioral and econometric assumptions results from a recreation application based on the 1997 iowa wetlands survey suggest that qualitatively similar policy inferences arise from the competing structures

estimation and welfare calculations in a generalized corner solution model with an application to recreation demand the kuhn tucker model of wales and woodland 1983 provides a utility theoretic framework for estimating preferences over commodities for which individuals choose not to consume one or more of the goods due to the complexity of the model however there have been few applications in the literature and little attention has been paid to the problems of welfare analysis within the kuhn tucker framework this paper provides an application of the model to the problem of recreation demand in addition we develop and apply a methodology for estimating compensating variation relying on monte carlo integration to derive expected welfare changes

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

the economics of fish consumption advisories insights from revealed and stated preference data measuring how fish consumption advisories affect angler s utility has proven difficult relying on stated preference sp data is problematic because of hypothetical bias revealed preference rp data benefits from using actual behavior however co linearity often makes it difficult to model the array of advisory severity levels across different species and catch rates the array of advisories also makes traditional joint estimation impractical this paper describes an alternative joint estimation technique based on an index of sp parameter that we used for estimating the effect of fish consumption advisories on the fox river green bay

introduction to the special issue things we do and don t understand about the household and the environment environmental economics has been slow to incorporate the full and complex nature of the household into its analytical structures and to reflect empirical evidence on household decision making this paper provides an overview of some of the main unanswered questions

valuing food store access policy implications for the food stamp program food stamp recipients may lack access to larger stores reducing the availability of nutritious food reliance on smaller stores may have undesirable impacts policy alternatives include limiting food stamp redemption to larger stores and subsidizing store development i estimate that limiting redemption to supermarkets and grocery stores or supermarkets alone results in losses ranging from 499 2 million to 1 05 billion or 1 17 billion to 2 44 billion respectively annual loss in food stamp recipient welfare nationwide the impact of improving access is also significant ranging from 333 6 million to 931 2 million

economic liberalization and indian economic growth what s the evidence india s growth and poverty performance over the last three decades has been a subject of great curiosity unlike the east asian countries india s growth spurt is not associated with exceptionally high domestic savings or foreign capital inflows or manufacturing exports so what triggered the change in the growth trajectory did the market liberalization policies of the 1990s help how have the initial conditions shaped the process and how has the indian model impinged on india s central problem of mass poverty this paper surveys the literature and offers its own assessment of the drivers of change jel i32 o13 o14 o15 o21 o47

distinguishing between market participation and infrequency of purchase models of butter demand household butter expenditures are modeled by market participation and infrequency of purchase specifications the market participation model assumes that zero expenditures represent either traditional corner solutions or consumers who never use the product whereas the infrequency of purchase model assumes that zero expenditures represent either corner solutions or consumption out of storage we determine that the infrequency of purchase specification is preferred to the market participation model by applying a nonnested test based upon likelihood functions if household expenditure surveys contained information about participation and frequency of purchase a likelihood function which contained both models could be written and estimated

accounting for choice set endogeneity in random utility models of recreation demand abstract modeling the choice among a discrete set of recreation alternatives is driven by the possible patterns of substitution among sites researchers typically assume that the individual s choice set is the same as the set of alternatives included in the recreation survey instrument our endogenous choice set model is a generalization of the standard multinomial logit random utility model which allows for the possibility of heterogeneous choice sets that are endogenously determined in the model using two examples we show that parameter and compensating variation estimates differ greatly between the endogenous choice set model and the traditional logit model

a dual approach to modeling corner solutions in recreation demand abstract the dual approach of lee and pitt to estimating demand systems for which individuals often choose not to consume one or more of the available goods provides a utility consistent framework for estimating preferences over visits to recreation sites because of the complexity of the model however this approach has not been applied in the recreation demand literature this paper provides the first application of the model to recreation demand and develops a methodology for conducting welfare analysis relying on monte carlo integration to derive estimates of compensating variation the methods are applied to the demand for fishing in the wisconsin great lakes region

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

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

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

income effects and the inconvenience of private provision of public goods for bads the case of recycling in finland abstract absent or weak income effects reported in many contingent valuation studies have cast doubt on the reliability of the survey method we find that the income effect depends on the type of public good in question there is a negative income effect for willingness to pay for recycling which requires time and effort for sorting but a positive effect for the more convenient incineration hence high income low income individuals may display less more effort on environmental behavior this stresses the importance of comprehensive distributional analyses when assessing alternative environmental policies

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

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

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

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

welfare measurement and representative consumer theory abstract this paper generalizes results from anderson et al 1992 linking individual random utility and aggregate representative individual demand models to consider a comparable relation for the willingness to pay functions for quality attributes of marketed goods it also suggests how the logic can be used to describe links between choice occasion and aggregate models across occasions for an individual

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