"Nonresponse Bias in Mail Survey Data: Salience vs . Endogenous Survey Complexity" (Trudy Ann Cameron, W . Douglass Shaw , and Shannon Ragland), in Valuing recreation and the environment : revealed preference methods in theory and practice, Joseph A. Herriges and Catherine L. Kling (eds.) Edward Elgar Publishing Ltd., 1999.
 


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Eiswerth, M. E., J. Englin, et al. (2000). “The value of water levels in water-based recreation: A pooled revealed preference/contingent behavior model.” Water Resources Research 36(4): 1079-1086.

In this paper we present estimated recreation values for preventing a decline in water levels at, and even the total loss of, a large western lake that is drying up. We use a Poisson version of the count data travel cost model; however, in addition to and in combination with revealed preference (RP) data, we employ contingent behavior (CB) responses to hypothetical questions on alternative water levels and number of trips. The pooled model used allows for tests of differences between results using RP and CB data. This particular pooled RP/CB approach has not to our knowledge previously been applied to examine the values of alternative water quantities in water- based recreation.


Messonnier, M. L., J. C. Bergstrom, et al. (2000). “Survey response-related biases in contingent valuation: Concepts, remedies, and empirical application to valuing aquatic plant management.” American Journal of Agricultural Economics 82(2): 438-450.

Sample nonresponse and selection biases that may occur in survey research such as contingent valuation applications are discussed and tested. Correction mechanisms for these types of biases are demonstrated. Results indicate the importance of testing and correcting for unit and item nonresponse bias in contingent valuation survey data. When sample nonresponse and selection bias go uncorrected, welfare measures map be overestimated or underestimated contributing to potential errors in resource policy and management decisions.