Comparing benefit estimates from travel cost and contingent valuation using confidence intervals for Hicksian welfare measures

Loomis, John B.; Creel, Michael; Park, Timothy

doi:10.1080/00036849100000067

Cited by 29 publications

(15 citation statements)

References 18 publications

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“…With no prior knowledge regarding the probability distribution that would best represent the data, a Poisson distribution was assumed. This choice followed the initial specification used by HS, and is a common starting point in the estimation of a count-data relationship (Gourieroux, Manfort and Trognon, 1984;Hausman, Hall and Griliches, 1984;Cameron and Trivedi, 1986;Davies and Guy, 1987;Okoruwa, Terza and Narse, 1988;Congdon, 1989Congdon, , 1993Loomis, Creel and Park, 1991;Ruser, 1991).…”

Section: Distributional Assumptionsmentioning

confidence: 99%

Demand‐Threshold Estimation for Business Activities in Rural Saskatchewan

Wensley¹,

Stabler²

1998

Journal of Regional Science

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Historically, a common technique used to assess a community's ability to support various business activities has been demand-threshold estimation. The concept of a demand threshold has been applied at the community level by estimating a relationship between community population and the number of establishments of a particular kind in the community. The approach taken in this research incorporates a spatial dimension (community urban proximity) in addition to community population to estimate demand thresholds. Using a count data technique, demand thresholds are estimated for 27 different business activities found in 584 rural Saskatchewan communities in 1990. Both population and urban proximity are found to be important explanatory variables.

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Section: Distributional Assumptionsmentioning

confidence: 99%

Demand‐Threshold Estimation for Business Activities in Rural Saskatchewan

Wensley¹,

Stabler²

1998

Journal of Regional Science

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“…Tests for construct validity of WTP in CV research are of two types (Mitchell and Carson, 1989). Convergent validity tests are for correlation in WTP measured with the CV method and WTP measured with implicit market methods (see Loomis et al, 1991;Blomquist, 1988). Theoretical validity tests determine whether WTP is related to measures, such as environmental resource quality, which theoretically affect WTP.…”

Section: Introductionmentioning

confidence: 99%

Resource quality information and validity of willingness to pay in contingent valuation

Blomquist

Whitehead

1998

Resource and Energy Economics

138

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Elicitation of valid statements of contingent value requires survey participants who are familiar with the environmental resource change. A primary purpose of the contingent market must be to assure familiarity by providing information. Information about resource quality is important when incompletely informed respondents, say nonusers, perceive resource quality which diverges from true quality. Differences in perceived quality and true quality can be influenced as respondents learn from information in the contingent market. By presenting survey participants with information about four wetlands of varying qualities we test for information effects in a dichotomous choice contingent market for wetlands allocation. We find that information about quality is a determinant of willingness to pay for wetland preservation. Information about resource quality presented in contingent markets will result in more valid valuations of changes in allocations of environmental resources.

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“…Ding, Gre- wal, and Liechty (2005), andLusk and Schroeder (2004) all have implemented nonhypothetical choice experiments.2 Other studies have compared hypothetical contingent valuation responses to indirect valuation methods such as hedonic analysis, travel cost methods, or other revealed-preferences methods (e.g.,Adamowicz, Louviere, and Williams 1994;Brookshire et al 1982;Carson et al 1996;Loomis, Creel, and Park 1991).at Selcuk University on February 9, 2015 http://ajae.oxfordjournals.org/ Downloaded from…”

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confidence: 96%

How Closely Do Hypothetical Surveys and Laboratory Experiments Predict Field Behavior?

Chang

Lusk

Norwood

2009

American J Agri Economics

226

162

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We compare the ability of three preference elicitation methods (hypothetical choices, nonhypothetical choices, and nonhypothetical rankings) and three discrete-choice econometric models (the multinomial logit [MNL], the independent availability logit [IAL], and the random parameter logit [RPL]) to predict actual retail shopping behavior in three different product categories (ground beef, wheat flour, and dishwashing liquid). Overall, we find a high level of external validity. Our specific results suggest that the nonhypothetical elicitation approaches, especially the nonhypothetical ranking method, outperformed the hypothetical choice experiment in predicting retail sales. We also find that the RPL can have superior predictive performance, but that the MNL predicts equally well in some circumstances.

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Comparing benefit estimates from travel cost and contingent valuation using confidence intervals for Hicksian welfare measures

Cited by 29 publications

References 18 publications

Demand‐Threshold Estimation for Business Activities in Rural Saskatchewan

Demand‐Threshold Estimation for Business Activities in Rural Saskatchewan

Resource quality information and validity of willingness to pay in contingent valuation

How Closely Do Hypothetical Surveys and Laboratory Experiments Predict Field Behavior?

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