Temporal Reliability of Contingent Behavior Trip Data in Kuhn-Tucker Recreation Demand Models

References

1. ↵
   1. Abbott, Joshua K., and
   2. Eli P. Fenichel

   . 2013. “Anticipating Adaptation: A Mechanistic Approach for Linking Policy and Stock Status to Recreational Angler Behavior.” Canadian Journal of Fisheries & Aquatic Sciences 70 (8): 1190–1208. https://doi.org/10.1139/cjfas-2012-0517.

   OpenUrl
2. ↵
   1. Abbott, Joshua K.,
   2. Patrick Lloyd-Smith,
   3. Daniel Willard, and
   4. Wiktor Adamowicz

   . 2018. “Status-Quo Management of Marine Recreational Fisheries Undermines Angler Welfare.” Proceedings of the National Academy of Sciences 115 (36): 8948–53. https://doi.org/10.1073/pnas.1809549115.

   OpenUrlAbstract/FREE Full Text
3. ↵
   1. Adamowicz, Wiktor,
   2. J. Louviere, and
   3. M. Williams

   . 1994. “Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities.” Journal of Environmental Economics and Management 26 (3): 271–92. https://doi.org/10.1006/jeem.1994.1017.

   OpenUrlCrossRefWeb of Science
4. ↵
   1. Ahn, Jiwoon,
   2. Gicheol Jeong, and
   3. Yeonbae Kim

   . 2008. “A Forecast of Household Ownership and Use of Alternative Fuel Vehicles: A Multiple Discrete-Continuous Choice Approach.” Energy Economics 30 (5): 2091–2104. https://doi.org/10.1016/j.eneco.2007.10.003.

   OpenUrl
5. ↵
   1. Bateman, Ian J.,
   2. Roy Brouwer,
   3. Silvia Ferrini,
   4. Marije Schaafsma,
   5. David N. Barton,
   6. Alex Dubgaard,
   7. Berit Hasler et al.

   , 2011. “Making Benefit Transfers Work: Deriving and Testing Principles for Value Transfers for Similar and Dissimilar Sites Using a Case Study of the Nonmarket Benefits of Water Quality Improvements across Europe.” Environmental and Resource Economics 50: 365–87. https://doi.org.10.1007/s10640-011-9476-8.

   OpenUrlCrossRef
6. ↵
   1. Bertram, Christine,
   2. Heini Ahtiainen,
   3. Jürgen Meyerhoff,
   4. Kristine Pakalniete,
   5. Eija Pouta, and
   6. Katrin Rehdanz

   . 2020. “Contingent Behavior and Asymmetric Preferences for Baltic Sea Coastal Recreation.” Environmental and Resource Economics 75 (1): 49–78. https://doi.org/10.1007/s10640-019-00388-x.

   OpenUrl
7. ↵
   1. Bhat, Chandra R.

   2008. “The Multiple Discrete-Continuous Extreme Value (MDCEV) Model: Role of Utility Function Parameters, Identification Considerations, and Model Extensions.” Transportation Research Part B: Methodological 42 (3): 274–303. https://doi.org/10.1016/j.trb.2007.06.002.

   OpenUrl
8. ↵
   1. Bishop, Richard C., and
   2. Kevin J. Boyle

   . 2017. “Reliability and Validity in Nonmarket Valuation.” In A Primer on Nonmarket Valuation, edited by Patricia A. Champ, Kevin J Boyle, and Thomas C Brown, 463–97. Dordrecht, Netherlands: Springer.
9. ↵
   1. Bishop, Richard C., and
   2. Kevin J. Boyle

   . 2019. “Reliability and Validity in Nonmarket Valuation.” Environmental and Resource Economics 72: 559–82.

   OpenUrl
10. ↵
    1. Bockstael, Nancy E., and
    2. Kenneth E. McConnell

    . 2007. Environmental and Resource Valuation with Revealed Preferences: A Theoretical Guide to Empirical Models. Dordrecht, Netherlands: Springer.
11. ↵
    1. Conner, Mary M.,
    2. Michael W. Miller,
    3. Michael R. Ebinger, and
    4. Kenneth P. Burnham

    . 2007. “A Meta-baci Approach For Evaluating Management Intervention on Chronic Wasting Disease in Mule Deer.” Ecological Applications 17 (1): 140–53. https://doi.org/10.1890/1051-0761(2007)017[0140:AMAFEM]2.0.CO.

    OpenUrlPubMed
12. ↵
    1. Cooney, Erin E., and
    2. Robert H. Holsman

    . 2010. “Influences on Hunter Support for Deer Herd Reduction as a Chronic Wasting Disease (CWD) Management Strategy.” Human Dimensions of Wildlife 15 (3): 194–207. https://doi.org/10.1080/10871201003598785.

    OpenUrl
13. ↵
    1. DeVivo, Melia T.,
    2. David R. Edmunds,
    3. Matthew J. Kauffman,
    4. Brant A. Schumaker,
    5. Justin Binfet,
    6. Terry J. Kreeger,
    7. Bryan J. Richards,
    8. Hermann M. Schätzl, and
    9. Todd E. Cornish

    . 2017. “Endemic Chronic Wasting Disease Causes Mule Deer Population Decline in Wyoming.” PLoS One 12 (10): e0186512. https://doi.org/10.1371/journal.pone.0186512.

    OpenUrl
14. ↵
    1. Englin, Jeffrey, and
    2. Trudy Ann Cameron

    . 1996. “Augmenting Travel Cost Models with Contingent Behavior Data Poisson Regression Analyses with Individual Panel Data.” Environmental and Resource Economics 7 (2): 133–47. https://doi.org/10.1007/BF00699288.

    OpenUrlCrossRef
15. ↵
    1. Grijalva, Therese C.,
    2. Robert P. Berrens,
    3. Alok K. Bohara, and
    4. W. Douglass Shaw

    . 2002. “Testing the Validity of Contingent Behavior Trip Responses.” American Journal of Agricultural Economics 84 (2): 401. https://www.jstor.org/stable/1244961.

    OpenUrlCrossRefWeb of Science
16. ↵
    1. Hensher, David,
    2. Jordan Louviere, and
    3. Joffre Swait

    . 1998. “Combining Sources of Preference Data.” Journal of Econometrics 89 (1): 197–221.

    OpenUrlCrossRefWeb of Science
17. ↵
    1. Holsman, Robert H., and
    2. Jordan Petchenik

    . 2006. “Predicting Deer Hunter Harvest Behavior in Wisconsin’s Chronic Wasting Disease Eradication Zone.” Human Dimensions of Wildlife 11 (3): 177–89. https://doi.org/10.1080/10871200600669916.

    OpenUrl
18. ↵
    1. Holsman, Robert H.,
    2. Jordan Petchenik, and
    3. Erin E. Cooney

    . 2010. “CWD After ‘the Fire’: Six Reasons Why Hunters Resisted Wisconsin’s Eradication Effort.” Human Dimensions of Wildlife 15 (3): 180–93. https://doi.org/10.1080/10871201003718029.

    OpenUrl
19. ↵
    1. Jeon, Yongsik, and
    2. Joseph A. Herriges

    . 2010. “Convergent Validity of Contingent Behavior Responses in Models of Recreation Demand.” Environmental and Resource Economics 45 (2): 223–50. https://doi.org/10.1007/s10640-009-9313-5.

    OpenUrl
20. ↵
    1. Ji, Yongjie,
    2. David A. Keiser, and
    3. Catherine L. Kling

    . 2020. “Temporal Reliability of Welfare Estimates from Revealed Preferences.” Journal of the Association of Environmental and Resource Economists 7 (4): 659–86. https://doi.org/10.1086/708662.

    OpenUrl
21. ↵
    1. Lloyd-Smith, Patrick

    . 2018. “A New Approach to Calculating Welfare Measures in Kuhn-Tucker Demand Models.” Journal of Choice Modelling 26: 19–27. https://doi.org/10.1016/j.jocm.2017.12.002.

    OpenUrl
22. ↵
    1. Lloyd-Smith, Patrick

    . 2021. “Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value Model Estimation and Simulation in R: The rmdcev Package.” R Journal 12 (2): 251.

    OpenUrl
23. ↵
    1. Lloyd-Smith, Patrick

    . 2022. “The Economic Benefits of Recreation in Canada.” Canadian Journal of Economics. 54 (4): 1684–1715. https://doi.org/10.1111/caje.12560.

    OpenUrl
24. ↵
    1. Lloyd-Smith, Patrick,
    2. Joshua K. Abbott,
    3. Wiktor Adamowicz, and
    4. Daniel Willard

    . 2020. “Intertemporal Substitution in Travel Cost Models with Seasonal Time Constraints.” Land Economics 96 (3): 399–417. https://doi.org/10.3368/le.96.3.399.

    OpenUrlAbstract/FREE Full Text
25. ↵
    1. Lupi, Frank,
    2. Daniel J. Phaneuf, and
    3. Roger H. von Haefen

    . 2020. “Best Practices for Implementing Recreation Demand Models.” Review of Environmental Economics and Policy 14 (2): 302–23. https://doi.org/10.1093/reep/reaa007.

    OpenUrl
26. ↵
    1. Krinsky, Itzhak, and
    2. A. Leslie Robb

    . 1986. “On Approximating the Statistical Properties of Elasticities.” Review of Economics and Statistics 68 (4): 715–19.

    OpenUrlCrossRefWeb of Science
27. ↵
    1. Murdock, Jennifer

    . 2006. “Handling Unobserved Site Characteristics in Random Utility Models of Recreation Demand.” Journal of Environmental Economics and Management 51 (1): 1–25. https://doi.org/10.1016/j.jeem.2005.04.003.

    OpenUrlCrossRefWeb of Science
28. ↵
    1. Nobel, Anne,
    2. Sebastien Lizin,
    3. Nele Witters,
    4. Francois Rineau, and
    5. Robert Malina

    . 2020. “The Impact of Wildfires on the Recreational Value of Heathland: A Discrete Factor Approach with Adjustment for On-Site Sampling.” Journal of Environmental Economics and Management 101: 102317. https://doi.org/10.1016/j.jeem.2020.102317.

    OpenUrl
29. ↵
    1. Pattison-Williams, John K.,
    2. Lusi Xie,
    3. W. L. (Vic) Adamowicz,
    4. Margo Pybus, and
    5. Anne Hubbs

    . 2020. “An Empirical Analysis of Hunter Response to Chronic Wasting Disease in Alberta.” Human Dimensions of Wildlife 25: 575–89. https://doi.org/10.1080/10871209.2020.1780351.

    OpenUrl
30. ↵
    1. Phaneuf, Daniel J., and
    2. V. Kerry Smith

    . 2005. “Recreation Demand Models.” In Handbook of Environmental Economics: Valuing Environmental Changes, edited by K.-G. Mäler and J. R. Vincent, 2: 671–761. Amsterdam: Elsevier.

    OpenUrl
31. ↵
    1. Shin, Jungwoo,
    2. Junhee Hong,
    3. Gicheol Jeong, and
    4. Jongsu Lee

    . 2012. “Impact of Electric Vehicles on Existing Car Usage: A Mixed Multiple Discrete–Continuous Extreme Value Model Approach.” Transportation Research Part D: Transport and Environment 17 (2): 138–44. https://doi.org/10.1016/j.trd.2011.10.004.

    OpenUrl
32. ↵
    1. Swait, Joffre, and
    2. Jordan Louviere

    . 1993. “The Role of the Scale Parameter in the Estimation and Comparison of Multinomial Logit Models.” Journal of Marketing Research 30 (3): 305–14.

    OpenUrlCrossRefWeb of Science
33. ↵
    1. von Haefen, Roger H., and
    2. Daniel J. Phaneuf

    . 2005. “Kuhn-Tucker Demand System Approaches to Nonmarket Valuation.” In Applications of Simulation Methods in Environmental and Resource Economics, edited by Riccardo Scarpa and Anna Alberini, 135–57. Phoenix: University of Arizona Press.
34. ↵
    1. von Haefen, Roger H., and
    2. Daniel J. Phaneuf

    . 2008. “Identifying Demand Parameters in the Presence of Unobservables: A Combined Revealed and Stated Preference Approach.” Journal of Environmental Economics and Management 56 (1): 19–32. https://doi.org/10.1016/j.jeem.2008.01.002.

    OpenUrlCrossRefWeb of Science
35. ↵
    1. Vaske, Jerry J., and
    2. Katie M. Lyon

    . 2011. “CWD Prevalence, Perceived Human Health Risks, and State Influences on Deer Hunting Participation.” Risk Analysis 31 (3): 488–96. https://doi.org/10.1111/j.1539-6924.2010.01514.x.

    OpenUrlPubMed
36. ↵
    1. Vaske, Jerry J., and
    2. Craig A. Miller

    . 2019. “Deer Hunters’ Disease Risk Sensitivity over Time.” Human Dimensions of Wildlife 24 (3): 217–30. https://doi.org/10.1080/10871209.2019.1587650.

    OpenUrl
37. ↵
    1. Western Association of Fish and Wildlife Agencies

    . 2017. “Recommendations for Adaptive Management of Chronic Wasting Disease in the West.” Edmonton, Canada: Western Association of Fish and Wildlife Agencies.
38. ↵
    1. Whitehead, John C.,
    2. Daniel J. Phaneuf,
    3. Christopher F. Dumas,
    4. Jim Herstine,
    5. Jeffery Hill, and
    6. Bob Buerger

    . 2010. “Convergent Validity of Revealed and Stated Recreation Behavior with Quality Change: A Comparison of Multiple and Single Site Demands.” Environmental and Resource Economics 45 (1): 91–112. https://doi.org/10.1007/s10640-009-9307-3.

    OpenUrlCrossRef
39. ↵
    1. Xie, Lusi,
    2. Wiktor L. Adamowicz, and
    3. Patrick Lloyd-Smith

    . 2022. “Spatial and Temporal Responses to Incentives: An Application to Wildlife Disease Management.” Journal of Environmental Economics and Management. In press. Available at https://www.sciencedirect.com/science/article/abs/pii/S009506962200105X.
40. ↵
    1. Yang, Ou,
    2. Peter Sivey,
    3. Andrea M de Silva, and
    4. Anthony Scott

    . 2020. “Parents’ Demand for Sugar Sweetened Beverages for Their Preschool Children: Evidence from a Stated-Preference Experiment.” American Journal of Agricultural Economics 102 (2): 480–504. https://doi.org/10.1002/ajae.12033.

    OpenUrl
41. ↵
    1. Yi, Dong Gyu, and
    2. Joseph A. Herriges

    . 2017. “Convergent Validity and the Time Consistency of Preferences: Evidence from the Iowa Lakes Recreation Demand Project.” Land Economics 93 (2): 269–91. https://doi.org/10.3368/le.93.2.269.

    OpenUrlAbstract/FREE Full Text
42. ↵
    1. Zimmer, Natalie M. P.,
    2. Peter C. Boxall, and
    3. Wiktor L. Adamowicz

    . 2012. “The Impacts of Chronic Wasting Disease and Its Management on Recreational Hunters.” Canadian Journal of Agricultural Economics 60 (1): 71–92. https://doi.org/10.1111/j.1744-7976.2011.01232.x.

    OpenUrl