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Congestion management in protected areas: Accounting for respondents inattention and preference heterogeneity in stated choice data

M. Thiene, Cristiano Franceschinis and Riccardo Scarpa

No 277255, 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia from International Association of Agricultural Economists

Abstract: Congestion levels in protected areas can be predicted by site selection probability models estimated from choice data. There is growing evidence of subjects inattention to attributes in choice experiments. We estimate a Latent Class-Random Parameters model (LC-RPL) that jointly handles inattention and preference heterogeneity. We use data from a choice experiment designed to elicit visitors preferences towards sustainable management of a protected area in the Italian Alps. Results show that the LC-RPL model produces improvements in model fit and reductions in the implied rate of inattention, as compared to traditional approaches. Implications of results for Park management authorities are discussed. Acknowledgement :

Keywords: Research; Methods/; Statistical; Methods (search for similar items in EconPapers)
Date: 2018-07
New Economics Papers: this item is included in nep-dcm and nep-env
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Persistent link: https://EconPapers.repec.org/RePEc:ags:iaae18:277255

DOI: 10.22004/ag.econ.277255

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