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Valuation of Biodiversity Benefits (OECD)

Valuation of Biodiversity Benefits (OECD)

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iwhere C is the income adjustment necessary to leave the individual as well <strong>of</strong> with bundle i as shewas with bundlei0 (compensating variation). Rearranging (3) and solving for C yields,i0 0 0i iC = m − g[r ( p , q , m,z),p , q , z](8)iWhere g is the inverse <strong>of</strong> r with respect to income. If we assume that marginal utility <strong>of</strong> income islinear, then the difference in ratings is given by, 27i i iiir ( p , q , m,z)= r(q , z)+ a(m − p )(9)By taking differences the income variable drops out, thus,i i i 0 i0i o∆ r ( p , q , q , z)= r(q , z)− r(q , z)− a(p − p ) (10)Roe et al. (1996) show that compensating variation can be obtained from the above by adding or0subtracting dollars from ( p i − p ) until the change in ratings ( ∆r)equals zero. Then compensatingvariation for a change from0q toCiiq is given by0r(q , z)− r(qii 0= [{, z)}/a]− ( p − p )(11)Binary response (choose one) conjoint can be estimated from (7) using the standard random utilitymodel:i i ii 0 0 00Pr( i)= Pr{ v ( p , q , m,z)+ ε > v ( p , q , m,z)+ ε }(12)The probability that the program having attributes i is chosen is the probability that the indirect utility<strong>of</strong> program i plus a random error is greater than the indirect utility <strong>of</strong> program 0 and its error term.Methodology: Survey Design and Statistical AnalysisConjoint models individuals’ preferences by considering the trade<strong>of</strong>fs that they are willing tomake. The use <strong>of</strong> focus groups comprised <strong>of</strong> individuals drawn from the population <strong>of</strong> interest allowsthe researcher to determine what attributes are important to the survey population. Further, the focusgroup allows the researcher to hone in on changes in the levels <strong>of</strong> an attribute that are salient to thesurvey respondent.Conjoint surveys by their nature are complex. Each possible choice comprises bundles <strong>of</strong>attributes, with each attribute having different levels. These choices are more readily presented byproviding an information packet that may include black and white illustrations and descriptions <strong>of</strong>attributes and levels. Because <strong>of</strong> this complexity, most studies to date have used a mail-in format.Four types <strong>of</strong> conjoint surveys can be constructed. A ranking format asks the subject to rankalternative scenarios (1, 2…7, etc.) each with different attributes and levels from most to least27This is standard in the extant literature, however marginal utility <strong>of</strong> income need not be linear.114

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