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Estimation of a Binary Choice Model with Grouped Choice Data

Author

Listed:
  • Lyubov A. Kurkalova
  • Sergey Rabotyagov

Abstract

We propose an econometric technique for estimating the parameters of a binary choice model when only aggregated data are available on the choices made. The method performs favorably in applications to both simulated and real world choice data.

Suggested Citation

  • Lyubov A. Kurkalova & Sergey Rabotyagov, 2005. "Estimation of a Binary Choice Model with Grouped Choice Data," Center for Agricultural and Rural Development (CARD) Publications 05-wp381, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    • Handle: RePEc:ias:cpaper:05-wp381
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    Cited by:

    1. Wade, Tara & Kurkalova, Lyubov A. & Secchi, Silvia, 2012. "Using the logit model with aggregated choice data in estimation of Iowa corn farmers’ conservation tillage subsidies," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124974, Agricultural and Applied Economics Association.
    2. 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.
    3. KURKALOVA, Lyubov A. & WADE, Tara R., 2013. "Aggregated Choice Data And Logit Models: Application To Environmental Benign Practices Of Conservation Tillage By Farmers In The State Of Iowa," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 119-128.
    4. Dadalau Diana, 2012. "Integrated Estimation Model Of The Difficulty Status Of Entreprise," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 4, pages 130-143, December.
    5. Sergey S. Rabotyagov, 2010. "Ecosystem Services under Benefit and Cost Uncertainty: An Application to Soil Carbon Sequestration," Land Economics, University of Wisconsin Press, vol. 86(4), pages 668-686.

    More about this item

    Keywords

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    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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