Abidoye, Babatunde O.Herriges, Joseph A.Tobias, Justin L.2013-04-222014-05-312012Abidoye, BO, Herriges, JA & Tobias, JL 2012, 'Controlling for observed and unobserved site characteristics in RUM models of recreation demand', American Journal of Agricultural Economics, vol. 94, no. 5, pp. 1070-1093.0002-9092 (print)1467-8276 (online)10.1093/ajae/aas056http://hdl.handle.net/2263/21339Recreation demand models are typically plagued by limited information on site attributes. If these unobserved site attributes are correlated with the observed characteristics and/or the travel cost variable, the resulting parameter estimates are likely to be biased. We develop a Bayesian approach to estimating a model that incorporates a full set of alternative-speci c constants, insulating the key travel cost parameter from the in uence of unobservables. The proposed posterior simulator can be used in the mixed logit framework in which some parameters of the conditional utility function are random. We apply the estimation procedures to data from the Iowa Lakes Project.en© The Author (2012). Published by Oxford University Press on behalf of the Agricultural and Applied Economics Association. This is a pre-copy-editing, author-produced PDF of an article accepted for publication in American Journal of Agricultural Economics following peer review. The definitive publisher-authenticated version American Journal of Agricultural Economics, vol. 94, no. 5, pp. 1070-1093 2012.It is available online at : http://ajae.oxfordjournals.org/Recreation demandBayesian econometricsAlternative specific constantsPostprint Article