Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/154964 
Year of Publication: 
1999
Series/Report no.: 
Nota di Lavoro No. 10.1999
Publisher: 
Fondazione Eni Enrico Mattei (FEEM), Milano
Abstract: 
The Dichotomous Choice Contingent Valuation Method can be used either in the single or double bound formulation. The former is easier to implement, while the latter is known to be more efficient. We analyse the bias of the ML estimates produced by either model, and the gain in efficiency associated to the double bound model, in different experimental settings. We find that there are no relevant differences in point estimates given by the two models, even for small sample size, and no estimator can be said to be less biased than the other. The greater efficiency of the double bound is confirmed, although differences tend to reduce by increasing the sample size. Provided that a reliable pre-test is conducted, and the sample size is large, use of the single rather than the double bound model is warranted.
Subjects: 
Contingent valuation
Single bound estimator
Double bound estimator
Bias
Statistical efficiency
JEL: 
C15
C35
D60
H41
Q26
Document Type: 
Working Paper

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