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Estimating Willingness to Pay for Improved Water Quality in the Presence of Item Nonresponse Bias

James Brox, Ramesh Kumar and Kenneth R. Stollery

American Journal of Agricultural Economics, 2003, vol. 85, issue 2, 414-428

Abstract: This article deals with the problem of item nonresponse in contingent valuation surveys using a payment-card method, by applying a grouped-data sample-selection estimation technique that is capable of imputing the missing values conditional upon a respondent's decision to answer a willingness-to-pay question. The advantage of the technique lies in its ability to utilize all of the information in the sample, permitting a more efficient estimation in the presence of item nonresponse bias. The major determinants of willingness to pay appear to be household income, number of children, education, perception of existing water quality, and identification with environmental issues. Copyright 2003, Oxford University Press.

Date: 2003
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American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

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