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Sampling and Aggregation Issues in Random Utility Model Estimation

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  • Peter M. Feather

Abstract

Measurement of nonmarket values often involves subjective judgments. Since these judgments may influence results, they should be carefully considered. I focus on an aspect of subjective choice relating to the estimation of random utility models. Such models require specification of each recreationalist's choice set. Whether an individual perceives his choice set as composed of all possible alternatives, a few popular alternatives, or collections of spatially aggregated alternatives is an important judgment affecting the conclusions.

Suggested Citation

  • Peter M. Feather, 1994. "Sampling and Aggregation Issues in Random Utility Model Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 772-780.
    • Handle: RePEc:oup:ajagec:v:76:y:1994:i:4:p:772-780.
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    File URL: http://hdl.handle.net/10.2307/1243738
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    1. Melstrom, Richard T., 2017. "The petroleum industry's response to an endangered species listing," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258281, Agricultural and Applied Economics Association.
    2. Hicks, Robert L. & Holland, Daniel S. & Kuriyama, Peter T. & Schnier, Kurt E., 2020. "Choice sets for spatial discrete choice models in data rich environments," Resource and Energy Economics, Elsevier, vol. 60(C).
    3. Daniel J. Phaneuf & Catherine L. Kling & Joseph A. Herriges, 2000. "Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 83-92, February.
    4. 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.
    5. Bhattacharyya, Aditi & Kutlu, Levent & Sickles, Robin C., 2018. "Pricing Inputs and Outputs: Market prices versus shadow prices, market power, and welfare analysis," Working Papers 18-009, Rice University, Department of Economics.
    6. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    7. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    8. Melstrom, Richard T., 2017. "Where to drill? The petroleum industry's response to an endangered species listing," Energy Economics, Elsevier, vol. 66(C), pages 320-327.
    9. Murdock, Jennifer, 1999. "Welfare Implications of Site Aggregation: A Comparison of Conditional Logit and Random Parameters Logit Estimates," Western Region Archives 321715, Western Region - Western Extension Directors Association (WEDA).
    10. Agimass, Fitalew & Lundhede, Thomas & Panduro, Toke Emil & Jacobsen, Jette Bredahl, 2018. "The choice of forest site for recreation: A revealed preference analysis using spatial data," Ecosystem Services, Elsevier, vol. 31(PC), pages 445-454.
    11. Moore, Rebecca & MacPherson, Alexander J. & Provencher, Bill, 2005. "A Dynamic Principal-Agent Model of Human-Mediated Aquatic Species Invasions," Staff Papers 12684, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    12. Yip, Arthur H.C. & Michalek, Jeremy J. & Whitefoot, Kate S., 2018. "On the implications of using composite vehicles in choice model prediction," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 163-188.
    13. Backstrom, Jesse D. & Woodward, Richard T., 2017. "Using Qualitative Site Characteristics Data in Marine Recreational Fishing Models: A New Site Aggregation Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258276, Agricultural and Applied Economics Association.
    14. Moore, Rebecca & Macpherson, Alex & Provencher, Bill, 2005. "A Dynamic Principal-Agent Model of Human-Mediated Aquatic Species Invasions," Staff Paper Series 485, University of Wisconsin, Agricultural and Applied Economics.
    15. MacPherson, Alexander J. & Moore, Rebecca & Provencher, Bill, 2006. "A Dynamic Principal-Agent Model of Human-Mediated Aquatic Species Invasions," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(1), pages 1-11, April.
    16. Lupi, Frank & Feather, Peter M., 1997. "Using Partial Site Aggregation to Reduce Bias in Random Utility Travel Cost Models," Staff Paper Series 201220, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    17. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
    18. Carlo Fezzi & Ian J. Bateman, 2013. "Estimating the Value of Travel Time to Recreational Sites Using Revealed Preferences," Working Papers 2013.64, Fondazione Eni Enrico Mattei.
    19. Timar, Levente & Phaneuf, Daniel J., 2009. "Modeling the human-induced spread of an aquatic invasive: The case of the zebra mussel," Ecological Economics, Elsevier, vol. 68(12), pages 3060-3071, October.

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