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This major reference work the first of its kind provides a comprehensive and authoritative introduction to the large and growing literature on contingent valuation. It includes entries on over 7,500 contingent valuation papers and studies from over 130 countries covering both the published and grey literatures. This book provides an interpretive historical account of the development of contingent valuation, the most commonly used approach to placing a value on goods not normally sold in the marketplace. The major fields catalogued here include culture, the environment, and health application. This bibliography is an ideal starting point for researchers wanting to find other studies that have valued goods or used techniques similar to those they are interested in. For those wanting to conduct meta analyses, the book will serve as an invaluable guide to source material. For those wanting to conduct meta analyses, the book will serve as an invaluable guide to source material. In addition to the print edition we offer access, for purchasers of the book, to a website providing the contents of as a searchable Word document and in a variety of standard bibliographic database forms. Contingent Valuation is an indispensable reference source for researchers, scholars and policymakers concerned with survey approaches to the problem of environmental valuation.
The questionnaire-based Contingent Valuation Method (CVM) asks people what would they be willing to pay for an environmental good or attribute, or willing to accept for its loss. These papers consider the real value of such surveys.
The Handbook on Contingent Valuation is unique in that it focuses on contingent valuation as a method for evaluating environmental change. It examines econometric issues, conceptual underpinnings, implementation issues as well as alternatives to contingent valuation. Anna Alberini and James Kahn have compiled a comprehensive and original reference volume containing invaluable case studies that demonstrate the implementation of contingent valuation in a wide variety of applications. Chapters include those on the history of contingent valuation, a practical guide to its implementation, the use of experimental approaches, an ecological economics perspective on contingent valuation and approaches for developing nations.
Contingent valuation (CV) measures what is called passive use value or existence value. The CV method has been used to measure the benefits of environmental policy actions. CV measures of economic value rely on choice. In CV studies, choices are posed to people in surveys; analysts then use the responses to these choice questions to construct monetary measures of value. The specific mechanism used to elicit respondents' choices can take a variety of forms, including asking survey respondents whether they would purchase, vote, or pay for a program or some other well-defined object of choice. It can also be a direct elicitation of the amount each respondent would be willing to pay (WTP) to obtain an object of choice or the amount each respondent would be willing to accept (WTA) in compensation to give it up. This volume is composed of three sections. The first section provides background into the issues underlying the public and academic discussion regarding CV and the reliability of CV estimates of economic value. In addition, this section reviews the theory underlying the measurement of economic value and discusses those aspects of the theory most relevant to CV. The second section focuses on issues that have formed the core of the CV discussions including: sensitivity of WTP estimates to the size of the program offered, tests for theoretical consistency of CV results, and the sensitivity of results to context and numerous other features of the survey and its administration. The final section addresses the application of CV to actual economic valuation tasks and discusses the types of practical problems the CV researcher will encounter.
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Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates information on existing R functions and packages as well as those prepared by the authors. It focuses on core SP methods, including contingent valuation (CV), discrete choice experiments (DCEs), and best–worst scaling (BWS). Several example data sets illustrate empirical applications of each method with R. Examples of CV draw on data from well-known environmental valuation studies, such as the Exxon Valdez oil spill in Alaska. To explain DCEs, the authors use synthetic data sets related to food marketing and environmental valuation. The examples illustrating BWS address valuing agro-environmental and food issues. All the example data sets and code are available on the authors’ website, CRAN, and R-Forge, allowing readers to easily reproduce working examples. Although the examples focus on agricultural and environmental economics, they provide beginners with a good foundation to apply SP methods in other fields. Statisticians, empirical researchers, and advanced students can use the book to conduct applied research of SP methods in economics and market research. The book is also suitable as a primary text or supplemental reading in an introductory-level, hands-on course.