Accounting for Response Biases in Latent-Class Models for Choices and Attitudes.
We propose a latent-class model (LCM) to analyze contingent-valuation surveys incorporating attitudinal questions capturing protest reasons to identify classes of respondents with similar preferences and attitudes. In contrast to a standard LCM, our model ensures that classes are not contaminated by...
| Publicado en: | Land Economics Vol. 91; no. 3; pp. 586 - 604 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
University of Wisconsin Press
Aug2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=108408799&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 108408799 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00237639 LAE jtl: Land Economics issn: 00237639 maglogo: N pubinfo: dt: Aug2015 vid: 91 iid: 3 pid: 249 pub: University of Wisconsin Press artinfo: ui: 108408799 10.3368/le.91.3.586 ppf: 586 ppct: 18 formats: tig: atl: Accounting for Response Biases in Latent-Class Models for Choices and Attitudes. aug: au: Cunha-e-Sá, Maria A. Nunes, Luis C. Otrachshenko, Vladimir affil: Associate professor, Nova School of Business and Economics, Universidade Nova de Lisboa, Lisbon, Portugal Nova School of Business and Economics, Universidade Nova de Lisboa, Lisbon, Portugal su: Respondents World Heritage Sites Latent class analysis (Statistics) Statistical bias Willingness to pay Conservation & restoration sug: subj: Respondents World Heritage Sites Nature Parks and Other Similar Institutions Historical Sites Latent class analysis (Statistics) Statistical bias Willingness to pay Conservation & restoration ab: We propose a latent-class model (LCM) to analyze contingent-valuation surveys incorporating attitudinal questions capturing protest reasons to identify classes of respondents with similar preferences and attitudes. In contrast to a standard LCM, our model ensures that classes are not contaminated by different types of response biases. Using data regarding the preservation of a world-heritage recreation site, low- and high-protester classes are identified. The difference in estimated willingness to pay (WTP) in these classes is €26, reflecting protest issues. If response biases were ignored, different classes would be identified and the corresponding difference in WTPs would be inflated by 130%. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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