The DOI matches its Crossref record.
Recreation Demand Models with Taste Differences over People
Abstract
ABSTRACT: We estimate random-parameter logit models of anglers ' choice of fishing site. The models generalize logit by allowing coefficients to vary randomly over anglers rather than being fixed. The models do not exhIbit the restrictive "independence from irrelevant alternatives property of logit and can represent any substitution pattern. Estimation explicitly accounts for the fact that the variation in coefficients over anglers induces correlation in unobserved utility over trips by the same angler. Willingness-to-pay for improved fish stock and the value to anglers of specific sites are calculated from the models and compared with the estimates obtained from a standard logit model. I.
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Cited by
The Mixed Logit model: The state of practice
Hensher, D. A., & Greene, W. H. (2003) · Transportation · doi:10.1023/a:1022558715350 · Cited by 2,047
The use of logit and probit models in strategic management research: Critical issues
Hoetker, G. (2007) · Strategic Management Journal · doi:10.1002/smj.582 · Cited by 1,519
Biodiversity and nature-based tourism at forest reserves in Uganda
NAIDOO, R., & ADAMOWICZ, W. L. (2005) · Environment and Development Economics · doi:10.1017/s1355770x0400186x · Cited by 129
Metadata
- Authors
- Train, K. E.
- Venue
- Land Economics
- Publisher
- University of Wisconsin Press
- Published
- 1998-05
- Volume
- 74
- Issue
- 2
- Pages
- 230
- ISSN
- 0023-7639 (ISSN-L)
- OpenAlex
- W2117870569
- Cited by
- 1,048
- References
- 0
- FWCI
- 45.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Recreation Demand Models with Taste Differences over People. https://app.cochat.ai/papers/10.2307/3147053
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- Train, K. E. (1998). Recreation Demand Models with Taste Differences over People. Land Economics. https://doi.org/10.2307/3147053
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
