IDEAS home Printed from https://ideas.repec.org/p/ias/cpaper/05-wp381.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.card.iastate.edu/products/publications/pdf/05wp381.pdf
    File Function: Full Text
    Download Restriction: no

    File URL: https://www.card.iastate.edu/products/publications/synopsis/?p=566
    File Function: Online Synopsis
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lyubov Kurkalova & Catherine Kling & Jinhua Zhao, 2006. "Green Subsidies in Agriculture: Estimating the Adoption Costs of Conservation Tillage from Observed Behavior," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(2), pages 247-267, June.
    2. Lyubov A. Kurkalova & Catherine L. Kling & Jinhua Zhao, 2003. "Green Subsidies in Agriculture: Estimating the Adoption Costs of Conservation Tillage from Observed Behavior (Revised)," Center for Agricultural and Rural Development (CARD) Publications 01-wp286, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    3. Douglas J. Miller & Andrew J. Plantinga, 1999. "Modeling Land Use Decisions with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 180-194.
    4. Miller, Douglas & Plantinga, Andrew J., 1999. "Modeling Land Use Decisions with Aggregate Data," Staff General Research Papers Archive 1487, Iowa State University, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    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. 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.

    More about this item

    Keywords

    aggregated choice data; binary choice model.;

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ias:cpaper:05-wp381. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/caiasus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.