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Panel Estimators To Combine Revealed And Stated Preference Dichotomous Choice Data

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  • Loomis, John B.

Abstract

Combining stated and revealed preference data often involved multiple responses from the same individual. Panel estimators are appropriate to jointly model the decision to actually visit at current trip costs, the intention to visit at hypothetically higher trip costs, and the intention to visit at proposed quality levels. To incorporate data on all three choices, the random effects probit model is used to estimate the economic value of changes in instream flow as a covariate in the model and calculating value under alternative flow regimes.

Suggested Citation

  • Loomis, John B., 1997. "Panel Estimators To Combine Revealed And Stated Preference Dichotomous Choice Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Number 2), pages 1-13, December.
  • Handle: RePEc:ags:jlaare:30862
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    File URL: http://ageconsearch.umn.edu/record/30862/files/22020233.pdf
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    References listed on IDEAS

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    5. Alberini Anna, 1995. "Efficiency vs Bias of Willingness-to-Pay Estimates: Bivariate and Interval-Data Models," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 169-180, September.
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    7. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
    8. Trudy Ann Cameron, 1992. "Combining Contingent Valuation and Travel Cost Data for the Valuation of Nonmarket Goods," Land Economics, University of Wisconsin Press, vol. 68(3), pages 302-317.
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    Cited by:

    1. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2008. "Combining Revealed And Stated Preference Data To Estimate The Nonmarket Value Of Ecological Services: An Assessment Of The State Of The Science," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 872-908, December.
    2. Stephen Hynes & William Greene, 2013. "A Panel Travel Cost Model Accounting for Endogenous Stratification and Truncation: A Latent Class Approach," Land Economics, University of Wisconsin Press, vol. 89(1), pages 177-192.
    3. Rosenberger, Randall S. & Loomis, John B., 2000. "Panel Stratification In Meta-Analysis Of Economic Studies: An Investigation Of Its Effects In The Recreation Valuation Literature," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 0(Number 3), pages 1-12, December.
    4. Landry, Craig E. & Liu, Haiyong, 2009. "A semi-parametric estimator for revealed and stated preference data--An application to recreational beach visitation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 205-218, March.
    5. Moledina, Amyaz A., 2001. "Comparing Policy Instruments in a Dynamic Environment with Strategic Firms: The Case of Minnesota Phosphorus Emissions," 2001 Annual meeting, August 5-8, Chicago, IL 20751, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Yongsik Jeon & Joseph Herriges, 2010. "Convergent Validity of Contingent Behavior Responses in Models of Recreation Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(2), pages 223-250, February.
    7. Lienhoop, Nele & Ansmann, Till, 2011. "Valuing water level changes in reservoirs using two stated preference approaches: An exploration of validity," Ecological Economics, Elsevier, vol. 70(7), pages 1250-1258, May.
    8. Boxall, Peter & Rollins, Kimberly & Englin, Jeffrey, 2003. "Heterogeneous preferences for congestion during a wilderness experience," Resource and Energy Economics, Elsevier, vol. 25(2), pages 177-195, May.
    9. Mathews, Leah Greden, 1999. "Estimating Water Quality Benefits By Combining Revealed And Stated Preference Methods: An Application In The Minnesota River," 1999 Annual meeting, August 8-11, Nashville, TN 21621, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Anton Nahman & Dan Rigby, 2008. "Valuing Blue Flag Status And Estuarine Water Quality In Margate, South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 76(4), pages 721-737, December.
    11. Alberini, Anna & Zanatta, Valentina & Rosato, Paolo, 2007. "Combining actual and contingent behavior to estimate the value of sports fishing in the Lagoon of Venice," Ecological Economics, Elsevier, vol. 61(2-3), pages 530-541, March.
    12. Cheng, Li & Lupi, Frank, 2016. "Combining Revealed and Stated Preference Methods for Valuing Water Quality Changes to Great Lakes Beaches," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235746, Agricultural and Applied Economics Association.
    13. Hynes, Stephen & Greene, William, 2011. "Estimating recreation demand with on-site panel data: An application of a latent class truncated and endogenously stratified count data model," Working Papers 135171, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    14. Alberto Longo & David Hoyos & Anil Markandya, 2015. "Sequence Effects in the Valuation of Multiple Environmental Programs Using the Contingent Valuation Method," Land Economics, University of Wisconsin Press, vol. 91(1), pages 20-35.
    15. Johansson, Robert C., 2002. "Watershed Nutrient Trading Under Asymmetric Information," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 2), pages 1-13, October.
    16. Luís Cruz & Paula Simões & Eduardo Barata, 2014. "Combining Observed and Contingent Travel Behaviour: The Best of Both Worlds?," Notas Económicas, Faculty of Economics, University of Coimbra, issue 40, pages 7-25, December.
    17. Mathews, Leah Greden & Homans, Frances R. & Easter, K. William, 1999. "Reducing Phosphorus Pollution In The Minnesota River: How Much Is It Worth?," Staff Papers 13771, University of Minnesota, Department of Applied Economics.
    18. Kimberly Rollins & Diana Dumitras & Anita Castledine, 2008. "An Analysis of Congestion Effects Across and Within Multiple Recreation Activities," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(1), pages 95-116, March.
    19. Therese Grijalva & Alok Bohara & Robert Berrens, 2003. "A seemingly unrelated Poisson model for revealed and stated preference data," Applied Economics Letters, Taylor & Francis Journals, vol. 10(7), pages 443-446.
    20. Paula Simões & Luís Cruz & Eduardo Barata, 2012. "Non-market Recreational Value of a National Forest: Survey Design and Results," GEMF Working Papers 2012-09, GEMF, Faculty of Economics, University of Coimbra.
    21. Simões, Paula & Barata, Eduardo & Cruz, Luís, 2013. "Joint estimation using revealed and stated preference data: An application using a national forest," Journal of Forest Economics, Elsevier, vol. 19(3), pages 249-266.
    22. repec:eee:ecolec:v:148:y:2018:i:c:p:1-14 is not listed on IDEAS
    23. Rosenberger, Randall S. & Loomis, John B. & Shrestha, Ram K., 1999. "Panel Stratification In Meta-Analysis Of Environmental And Natural Resource Economic Studies," 1999 Annual Meeting, July 11-14, 1999, Fargo, ND 35705, Western Agricultural Economics Association.
    24. Azevedo, Christopher Dean, 1999. "Linking revealed and stated preference data in recreation demand modeling," ISU General Staff Papers 1999010108000013438, Iowa State University, Department of Economics.

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