RP/SP

von Haefen and Phaneuf (2008): We develop a combined, revealed and stated preference approach to identify discrete choice demand parameters in the presence of unobserved determinants of choice. Our approach overcomes difficulties associated with small choice sets, multicollinearity, and endogeneity that arise with revealed preference approaches. To illustrate our framework, we revisit two Canadian moose hunting datasets. Our empirical results suggest the potential gains from fusing revealed and stated preference data, but they also suggest its limitations when the data-generating processes for the data sources differ.
Huang et al., 1997: In this article we propose theoretically consistent welfare measurement of use and nonuse values for an improvement in environmental quality with revealed and stated preference data. An analytical model based on the comparative static analysis of the variation function that describes the relationship between recreation demand and dichotomous choice contingent valuation models is estimated. Our results show that revealed and stated data should not be combined under the same assumed preference structure unless the two decisions imply the same change in behavior induced by the quality change. In addition, our results indicate scope effects in willingness to pay measures estimated with stated preference data.