Accounting for Heterogeneity in Behavioral Responses to Health-Risk Information Treatments
Traditional revealed and stated preference (RP/SP) models consider a typical individual’s behavioral responses to various policy-based information treatments. For some costbenefit applications in which resource managers are concerned with responses from a representative individual, this is sufficient. However, as behavioral responses to information treatments can vary across respondents, we develop a latent class analysis to examine unobserved homogenous subgroup responses to health-risk information treatments. Results from a probabilistic model indicate that homogenous classes of consumers respond differently to the health-risk information treatments. This suggests that future policy-based research could benefit from examining potential heterogeneity in individuals’ responses to risk information treatments in order to fully understand the efficacy of treatments on behavior. Key Words: Food safety technology; health-risk information; latent class analysis; revealed preference; stated preference
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- John C. Whitehead & Timothy C. Haab & Ju-Chin Huang, 1999.
"Measuring Recreation Benefits of Quality Improvements with Revealed and Stated Behavior Data,"
9902, East Carolina University, Department of Economics.
- Whitehead, John C. & Haab, Timothy C. & Huang, Ju-Chin, 2000. "Measuring recreation benefits of quality improvements with revealed and stated behavior data," Resource and Energy Economics, Elsevier, vol. 22(4), pages 339-354, October.
- Dietrich Earnhart, 2001. "Combining Revealed and Stated Preference Methods to Value Environmental Amenities at Residential Locations," Land Economics, University of Wisconsin Press, vol. 77(1), pages 12-29.
- Haab, Timothy C. & Whitehead, John C. & Parsons, George R. & Price, Jammie, 2010.
"Effects of information about invasive species on risk perception and seafood demand by gender and race,"
Resource and Energy Economics,
Elsevier, vol. 32(4), pages 586-599, November.
- Timothy C. Haab & John C. Whitehead & George R. Parsons & Jammie Price, 2008. "Effects of Information about Invasive Species on Risk Perception and Seafood Demand by Gender and Race," Working Papers 08-02, Department of Economics, Appalachian State University.
- Fox, John A. & Hayes, Dermot J. & Shogren, Jason F., 2002.
"Consumer Preferences for Food Irradiation: How Favorable and Unfavorable Descriptions Affect Preferences for Irradiated Pork in Experimental Auctions,"
Staff General Research Papers Archive
5207, Iowa State University, Department of Economics.
- Fox, John A & Hayes, Dermot J & Shogren, Jason F, 2002. "Consumer Preferences for Food Irradiation: How Favorable and Unfavorable Descriptions Affect Preferences for Irradiated Pork in Experimental Auctions," Journal of Risk and Uncertainty, Springer, vol. 24(1), pages 75-95, January.
- Parsons, George R. & Morgan, Ash & Whitehead, John C. & Haab, Timothy C., 2006. "The Welfare Effects of Pfiesteria-Related Fish Kills: A Contingent Behavior Analysis of Seafood Consumers," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(2), October.
- Egan, Kevin J. & Herriges, Joseph A., 2006.
"Multivariate Count Data Regression Models with Individual Panel Data from an On-Site Sample,"
Staff General Research Papers Archive
12573, Iowa State University, Department of Economics.
- Egan, Kevin & Herriges, Joseph, 2006. "Multivariate count data regression models with individual panel data from an on-site sample," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 567-581, September.
- Nancy E. Bockstael & Ivar E. Strand, Jr., 1987. "The Effect of Common Sources of Regression Error on Benefit Estimates," Land Economics, University of Wisconsin Press, vol. 63(1), pages 11-20.
- David G. Swartz & Ivar E. Strand, Jr., 1981. "Avoidance Costs Associated with Imperfect Information: The Case of Kepone," Land Economics, University of Wisconsin Press, vol. 57(2), pages 139-150.
- von Haefen, Roger H. & Phaneuf, Daniel J., 2008. "Identifying demand parameters in the presence of unobservables: A combined revealed and stated preference approach," Journal of Environmental Economics and Management, Elsevier, vol. 56(1), pages 19-32, July.
- George R. Parsons & Ash O. Morgan & John C. Whitehead & Timothy C. Haab, 2005. "The Welfare Effects of Pfiesteria-Related Fish Kills in Seafood Markets: A Contingent Behavior Analysis," Working Papers 05-01, Department of Economics, Appalachian State University.
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