Thiene, M. and Franceschinis, C. and Scarpa, R. (2019) 'Congestion management in protected areas : accounting for respondents’ inattention and preference heterogeneity in stated choice data.', European review of agricultural economics., 46 (5). pp. 834-861.
Congestion levels in protected areas can be predicted by destination choice models estimated from choice data. There is growing evidence of subjects’ inattention to attributes in choice experiments. We estimate an attribute non-attendance 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.
|Full text:||(AM) Accepted Manuscript|
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|Publisher Web site:||https://doi.org/10.1093/erae/jby041|
|Publisher statement:||This is a pre-copyedited, author-produced version of an article accepted for publication in European Review Of Agricultural Economics following peer review. The version of record Thiene, M., Franceschinis, C. & Scarpa, R. (2019). Congestion management in protected areas: accounting for respondents’ inattention and preference heterogeneity in stated choice data. European Review of Agricultural Economics 46(5): 834-861 is available online at: https://doi.org/10.1093/erae/jby041|
|Date accepted:||04 October 2018|
|Date deposited:||26 September 2018|
|Date of first online publication:||17 November 2018|
|Date first made open access:||17 November 2020|
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