1993
DOI: 10.1006/jeem.1993.1026
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Substitution Effects in the Valuation of Multiple Environmental Programs

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Cited by 113 publications
(57 citation statements)
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“…Hoehn and Loomis (1993) offer an alternative modeling approach that explicitly accounts for substitution across dichotomous choice scenarios rather than relegating these effects to the error term. However, empirical implementation of their approach requires a very structured data set exceeding the design of most dichotomous choice surveys that ask multiple valuation questions.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…Hoehn and Loomis (1993) offer an alternative modeling approach that explicitly accounts for substitution across dichotomous choice scenarios rather than relegating these effects to the error term. However, empirical implementation of their approach requires a very structured data set exceeding the design of most dichotomous choice surveys that ask multiple valuation questions.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…This is often the first, if not only, occasion a person has been asked to reveal a public opinion on the environment, and as such, the value revealed may reflect his or her overall desire to save the environment. For example, Hoehn and Loomis (1993) find that independent aggregation of the benefits of only two programs overstates their total benefits by 27 percent, the overstatement with three programs is 54 percent.…”
Section: Conclusion and Caveatsmentioning
confidence: 99%
“…Third, the second order derivatives of the valuation function with respect to attributes, that is ∂ 2 WTP(z, z 1 ,y, c)/ ∂z∂z' = -∂ 2 e(z, V(z 1 ,y, c), c)/∂z∂z', define a substitution matrix (the term was drawn from HOEHN and LOOMIS 1993). Fourth, the diagonal elements of the substitution matrix, that is -∂ 2 e(z, V(z 1 ,y, c), c)/∂z ij 2 represent the slope of the inverse demands for attributes.…”
mentioning
confidence: 99%
“…When these elements are negative, the landscape attributes are said substitutes in valuation; when they are positive, the attributes are complements in valuation; and when they are nil, the attributes are independent in valuation (cf. HOEHN and LOOMIS, 1993). There are three different types of substitution effects between landscape attributes: (i) substitution effects between different attributes in the same area (i ≠ k and j ≠ p); (ii) between the same attribute in different areas (i = k and j ≠ p); and (iii) between different attributes in different areas (i ≠ k and j ≠ p).…”
mentioning
confidence: 99%
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