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Inducing Patterns Correlation and Substitution in Repeated Logit Model of Recreation Demand

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Author Info
Herriges, Joseph
Phaneuf, Daniel

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Abstract

Repeated logit models are among the most commonly applied methods for modeling seasonal recreation demand. In this paper we examine the capabilities of the repeated nested logit and repeated mixed logit models to capture patterns of error correlation and demand substitution. Particular attention is paid to the use of the mixed logit framework to generalize the strong assumptions on correlation patterns across sites and choice occasions imbedded in the nested logit model. We examine the implications for the range of price elasticities allowed in both models based on the implied correlation structures.

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Publisher Info
Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 5035.

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Date of creation: 01 Mar 2002
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Publication status: Published in American Journal of Agricultural Economics, November 2002, Vol. 84, No. 4, pp. 1076-1090.
Handle: RePEc:isu:genres:5035

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
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Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General

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  1. Ricardo Scarpa & Mara Thiene & Kenneth Train, 2006. "Utility in WTP Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," Working Papers in Economics 06/15, University of Waikato, Department of Economics. [Downloadable!]
  2. Silvia Ferrini & Riccardo Scarpa, 2005. "Experimental Designs for Environmental Valuation with Choice-Experiments: A Monte-Carlo Investigation," Working Papers in Economics 05/08, University of Waikato, Department of Economics. [Downloadable!]
  3. Ricardo Scarpa & Mara Thiene & Francesco Marangon, 2007. "Using flexible taste distributions to value collective reputation for environmentally-friendly production methods," Working Papers in Economics 07/24, University of Waikato, Department of Economics. [Downloadable!]
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This page was last updated on 2009-12-5.

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