Peeling back the onion: Using latent class analysis to uncover heterogeneous responses to stated preference surveys.
We develop validity tests for application to stated-preference estimates of WTP to reduce mortality risk, i.e., value per statistical life (VSL), and apply these to data obtained by surveying a representative sample of French adults over the internet. These tests (WTP nearly proportional to risk red...
| Publicado en: | Journal of Environmental Economics & Management Vol. 87; pp. 165 - 190 |
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| Autores principales: | , |
| Formato: | Artículo |
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Academic Press Inc.
Jan2018
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| 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=127983328&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 127983328 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00950696 EEM jtl: Journal of Environmental Economics & Management issn: 00950696 maglogo: N pubinfo: dt: Jan2018 vid: 87 pid: 735 pub: Academic Press Inc. artinfo: ui: 127983328 10.1016/j.jeem.2017.06.006 ppf: 165 ppct: 25 formats: tig: atl: Peeling back the onion: Using latent class analysis to uncover heterogeneous responses to stated preference surveys. aug: au: Hammitt, James K. Herrera-Araujo, Daniel affil: Harvard University (Center for Risk Analysis), 718 Huntington Ave., Boston, MA 02115, USA Toulouse School of Economics, Université Toulouse Capitole, 21 allée de Brienne, 31000 Toulouse, France Paris School of Economics, (Hospinnomics), Assistance Publique - Hôpitaux de Paris, Paris, France su: Onions Latent class analysis (Statistics) Stated preference methods Regression analysis Estimates sug: subj: Fruit and vegetable canning, pickling and drying Other Vegetable (except Potato) and Melon Farming Onions Latent class analysis (Statistics) Stated preference methods Regression analysis Estimates keyword: Children D03 D61 D64 I18 Income elasticity Latent class analysis Paradata Pesticides Q18 Q51 Scope sensitivity Value per statistical life Children D03 D61 D64 I18 Income elasticity Latent class analysis Paradata Pesticides Q18 Q51 Scope sensitivity Value per statistical life ab: We develop validity tests for application to stated-preference estimates of WTP to reduce mortality risk, i.e., value per statistical life (VSL), and apply these to data obtained by surveying a representative sample of French adults over the internet. These tests (WTP nearly proportional to risk reduction, insensitive to small differences in baseline risk, increasing in income, and consistent with budget constraints) are satisfied by a conventional single-regression analysis of our data. Using latent class analysis (LCA), we identify important differences between respondents in their consistency with the validity tests and control for much of this heterogeneity. Estimates of VSL from the latent class that is consistent with the validity tests are smaller than estimates from the standard analysis. We estimate mean VSL for adults of about 2 million € and for children (based on parents' WTP) of about 6 million €. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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