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Inducing Patterns Correlation and Substitution in Repeated Logit Model of Recreation Demand

Author

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  • Herriges, Joseph A.
  • Phaneuf, Daniel J.

Abstract

Repeated logit models are among the most commonly applied methods for modeling seasonal recreation demand. In this paper we examine the capabilities of the repeated nested logit and repeated mixed logit models to capture patterns of error correlation and demand substitution. Particular attention is paid to the use of the mixed logit framework to generalize the strong assumptions on correlation patterns across sites and choice occasions imbedded in the nested logit model. We examine the implications for the range of price elasticities allowed in both models based on the implied correlation structures.

Suggested Citation

  • Herriges, Joseph A. & Phaneuf, Daniel J., 2002. "Inducing Patterns Correlation and Substitution in Repeated Logit Model of Recreation Demand," Staff General Research Papers Archive 5035, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:5035
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    Cited by:

    1. Herriges, Joseph A. & Phaneuf, Daniel J. & Tobias, Justin L., 2008. "Estimating demand systems when outcomes are correlated counts," Journal of Econometrics, Elsevier, vol. 147(2), pages 282-298, December.
    2. Bujosa Bestard, Angel & Font, Antoni Riera, 2009. "Environmental diversity in recreational choice modelling," Ecological Economics, Elsevier, vol. 68(11), pages 2743-2750, September.
    3. Silvia Ferrini & Riccardo Scarpa, 2005. "Experimental Designs for Environmental Valuation with Choice-Experiments: A Monte-Carlo Investigation," Working Papers in Economics 05/08, University of Waikato.
    4. repec:kap:enreec:v:68:y:2017:i:4:d:10.1007_s10640-016-0058-7 is not listed on IDEAS
    5. Riccardo Scarpa & Mara Thiene & Francesco Marangon, 2008. "Using Flexible Taste Distributions to Value Collective Reputation for Environmentally Friendly Production Methods," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(2), pages 145-162, June.
    6. Abidoye, Babatunde Oluwakayode, 2010. "Bayesian inference in modeling recreation demand," ISU General Staff Papers 201001010800002496, Iowa State University, Department of Economics.
    7. Babatunde O. Abidoye & Joseph A. Herriges & Justin L. Tobias, 2012. "Controlling for Observed and Unobserved Site Characteristics in RUM Models of Recreation Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1070-1093.
    8. Babatunde Abidoye & Joseph Herriges, 2012. "Model Uncertainty in Characterizing Recreation Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(2), pages 251-277, October.
    9. Rungie, Cam & Scarpa, Riccardo & Thiene, Mara, 2014. "The influence of individuals in forming collective household preferences for water quality," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 161-174.
    10. Yongjie Ji & Joseph A. Herriges & Catherine L. Kling, 2016. "Modeling Recreation Demand When the Access Point Is Unknown," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 860-880.
    11. Mohammed H. Alemu & Søren Bøye Olsen & Suzanne E. Vedel & John Kinyuru & Kennedy O. Pambo, 2016. "Integrating sensory evaluations in incentivized discrete choice experiments to assess consumer demand for cricket flour buns in Kenya," IFRO Working Paper 2016/02, University of Copenhagen, Department of Food and Resource Economics.
    12. Landry, Craig E. & Allen, Tom & Cherry, Todd & Whitehead, John C., 2012. "Wind turbines and coastal recreation demand," Resource and Energy Economics, Elsevier, vol. 34(1), pages 93-111.
    13. Boxall, Peter C. & Englin, Jeffrey E., 2008. "Fire and Recreational Values in Fire-Prone Forests: Exploring an Intertemporal Amenity Function Using Pooled RP-SP Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(01), April.
    14. Pfarr, Christian & Schmid, Andreas & Mørkbak, Morten Raun, 2015. "Latent characteristics and preferences for income redistribution," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113001, Verein für Socialpolitik / German Economic Association.
    15. John A. Downing, 2009. "Valuing Water Quality as a Function of Water Quality Measures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 106-123.
    16. Craig E. Landry & Paul Hindsley & Okmyung Bin & Jamie B. Kruse & John C. Whitehead & Ken Wilson, 2011. "Weathering the Storm: Measuring Household Willingness-to-Pay for Risk-Reduction in Post-Katrina New Orleans," Southern Economic Journal, Southern Economic Association, vol. 77(4), pages 991-1013, April.
    17. Ricardo Scarpa & Mara Thiene & Kenneth Train, 2006. "Utility in WTP Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," Working Papers in Economics 06/15, University of Waikato.
    18. Dan Marsh & Lena Mkwara & Riccardo Scarpa, 2011. "Do Respondents’ Perceptions of the Status Quo Matter in Non-Market Valuation with Choice Experiments? An Application to New Zealand Freshwater Streams," Sustainability, MDPI, Open Access Journal, vol. 3(9), pages 1-23, September.
    19. Yao, Richard T. & Scarpa, Riccardo & Turner, James A. & Barnard, Tim D. & Rose, John M. & Palma, João H.N. & Harrison, Duncan R., 2014. "Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay," Ecological Economics, Elsevier, vol. 98(C), pages 90-101.

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