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Richard T. Carson

Bio: Richard T. Carson is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Contingent valuation & Valuation (finance). The author has an hindex of 55, co-authored 173 publications receiving 22378 citations. Previous affiliations of Richard T. Carson include Resources For The Future & University of California.


Papers
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Book
01 Mar 1989
TL;DR: Mitchell and Carson as discussed by the authors argue that at this time the contingent valuation (CV) method offers the most promising approach for determining public willingness to pay for many public goods, an approach likely to succeed, if used carefully, where other methods may fail.
Abstract: Economists and others have long believed that by balancing the costs of such public goods as air quality and wilderness areas against their benefits, informed policy choices can be made. But the problem of putting a dollar value on cleaner air or water and other goods not sold in the marketplace has been a major stumbling block. Mitchell and Carson, for reasons presented in this book, argue that at this time the contingent valuation (CV) method offers the most promising approach for determining public willingness to pay for many public goods---an approach likely to succeed, if used carefully, where other methods may fail. The result of ten years of research by the authors aimed at assessing how surveys might best be used to value public goods validly and reliably, this book makes a major contribution to what constitutes best practice in CV surveys. Mitchell and Carson begin by introducing the contingent valuation method, describing how it works and the nature of the benefits it can be used to measure, comparing it to other methods for measuring benefits, and examining the data-gathering technique on which it is based---survey research. Placing contingent valuation in the larger context of welfare theory, the authors examine how the CV method impels a deeper understanding of willingness-to-pay versus willingness-to-accept compensation measures, the possibility of existence values for public goods, the role of uncertainty in benefit valuation, and the question of whether a consumer goods market or a political goods market (referenda) should be emulated. In developing a CV methodology, the authors deal with issues of broader significance to survey research. Their model of respondent error is relevant to current efforts to frame a theory of response behavior and bias typology will interest those considering the cognitive aspects of answering survey questions. Mitchell and Carson conclude that the contingent valuation method can obtain valid valuation information on public goods, but only if the method is applied in a way that addresses the potential sources of error and bias. They end their book by providing guidelines for CV practitioners, a list of questions that should be asked by any decision maker who wishes to use the findings of a CV study, and suggestions for new applications of contingent valuation. Additional features include a comprehensive bibliography of the CV literature and an appendix summarizing more than 100 CV studies.

5,546 citations

Book
01 Jan 2002
TL;DR: Hanley et al. as discussed by the authors used revealed preference techniques and stated preference preferences techniques for environmental valuation, and found that they are a superior alternative to traditional environmental valuation approaches, such as choice modelling.
Abstract: project that requires structured valuation stages, open to the community dimension. The limits of traditional economic analysis should be exceeded by adopting new generally used: Revealed Preference Techniques and Stated Preference Preferences Techniques: A Manual, Edward Elgar: Cheltenham, UK, 2002. Economic valuation with stated preference techniques: a manual. Choice modelling approaches: a superior alternative for environmental valuation? N Hanley.

1,419 citations

Journal ArticleDOI
TL;DR: The authors applied the standard neoclassical economic framework to generate predictions about how rational agents would answer such survey questions, which in turn implies how such survey data should be interpreted, and compared different survey formats with respect to the information that the question itself reveals to the respondent, the strategic incentives the respondent faces in answering the question, and the information revealed by the respondent's answer.
Abstract: Surveys are frequently used by businesses and governments to elicit information about the public’s preferences. They have become the most common way to gather preference information regarding goods, that are not (or are not yet) bought or sold in markets. In this paper we apply the standard neoclassical economic framework to generate predictions about how rational agents would answer such survey questions, which in turn implies how such survey data should be interpreted. In some situations, the standard economic model would be expected to have no predictive power. For situations where it does have predictive power, we compare different survey formats with respect to: (a) the information that the question itself reveals to the respondent, (b) the strategic incentives the respondent faces in answering the question, and (c) the information revealed by the respondent’s answer.

1,222 citations

Journal ArticleDOI
TL;DR: Contingent valuation (CV) has become one of the most widely used non-market valuation techniques and the validity of passive use value has been discussed in this article, which can provide useful guidance both to CV practitioners and the users of CV results.
Abstract: 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.

1,081 citations

Journal ArticleDOI
TL;DR: Contingent valuation (CV) is a survey-based method frequently used for placing monetary values on environmental goods and services not bought and sold in the marketplace as discussed by the authors, and it is usually the only feasible method for including passive-use considerations in an economic analysis, a practice that has engendered considerable controversy.
Abstract: Contingent valuation (CV) is a survey-based method frequently used for placing monetary values on environmental goods and services not bought and sold in the marketplace. CV is usually the only feasible method for including passive-use considerations in an economic analysis, a practice that has engendered considerable controversy. The issue of what a CV study tries to value is first addressed from the perspective of a policy-maker, and then the controversy over the inclusion of passive-use is taken up in more detail. The major issues and positions taken in the technical debate over the use of CV are summarized from a user's perspective. Key design and implementation issues involved in undertaking a CV survey are examined, and the reader is provided with a set of factors to examine in assessing the quality of a CV study.

848 citations


Cited by
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Journal ArticleDOI
15 May 1997-Nature
TL;DR: In this paper, the authors have estimated the current economic value of 17 ecosystem services for 16 biomes, based on published studies and a few original calculations, for the entire biosphere, the value (most of which is outside the market) is estimated to be in the range of US$16-54 trillion (10^(12)) per year, with an average of US $33 trillion per year.
Abstract: The services of ecological systems and the natural capital stocks that produce them are critical to the functioning of the Earth's life-support system. They contribute to human welfare, both directly and indirectly, and therefore represent part of the total economic value of the planet. We have estimated the current economic value of 17 ecosystem services for 16 biomes, based on published studies and a few original calculations. For the entire biosphere, the value (most of which is outside the market) is estimated to be in the range of US$16-54 trillion (10^(12)) per year, with an average of US$33 trillion per year. Because of the nature of the uncertainties, this must be considered a minimum estimate. Global gross national product total is around US$18 trillion per year.

18,139 citations

Book
01 Jan 2009

8,216 citations

Journal ArticleDOI
TL;DR: In this paper, the authors discuss the discounted utility (DU) model, its historical development, underlying assumptions, and "anomalies" -the empirical regularities that are inconsistent with its theoretical predictions.
Abstract: This paper discusses the discounted utility (DU) model: its historical development, underlying assumptions, and "anomalies" - the empirical regularities that are inconsistent with its theoretical predictions. We then summarize the alternate theoretical formulations that have been advanced to address these anomalies. We also review three decades of empirical research on intertemporal choice, and discuss reasons for the spectacular variation in implicit discount rates across studies. Throughout the paper, we stress the importance of distinguishing time preference, per se, from many other considerations that also influence intertemporal choices.

5,242 citations

Journal ArticleDOI
01 May 1981
TL;DR: This chapter discusses Detecting Influential Observations and Outliers, a method for assessing Collinearity, and its applications in medicine and science.
Abstract: 1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

4,948 citations