LOGIT MODELS FOR POOLED CONTINGENT VALUATION AND CONTINGENT RATING AND RANKING DATA: VALUING BENEFITS FROM FOREST BIODIVERSITY CONSERVATION

Contingent valuation and contingent rating and ranking methods for measuring willingness-to-pay for non-market goods are compared by using random coefficient models and data pooling methods. Pooled models on CV data and CR data on the preferred choice accept pooling if scale differences between the model estimates of CV and CR methods are allowed for. More detailed response models, such as pooled CV model and rank-ordered models for two or three ranks, reject pooling of the data.


Issue Date:
2001
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/20616
Total Pages:
28
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-24

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