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Aggregated Choice Data And Logit Models: Application To Environmental Benign Practices Of Conservation Tillage By Farmers In The State Of Iowa

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  • KURKALOVA, Lyubov A.
  • WADE, Tara R.

Abstract

The many applications of soil survey and GIS based data to agricultural development and agri-environmental research necessitates the development of econometric approaches that allows researchers to combine this fine scale data with larger scale—aggregated—dependent variable choice data while minimizing the loss of information caused by the aggregation process. The study presents an intuitive, new approach to estimation of a logit model with group–average choice data that are subject to a measurement error. We illustrate the approach in a Monte Carlo analysis and in an application to a dataset on farmer choice of tillage.

Suggested Citation

  • 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.
    • Handle: RePEc:eaa:aeinde:v:13:y:2013:i:2_9
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    Cited by:

    1. Wade, Tara & Kurkalova, Lyubov & Secchi, Silvia, 2016. "Modeling Field-Level Conservation Tillage Adoption with Aggregate Choice Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    2. Catherine L. Kling & Raymond W. Arritt & Gray Calhoun & David A. Keiser, 2016. "Research Needs and Challenges in the FEW System: Coupling Economic Models with Agronomic, Hydrologic, and Bioenergy Models for Sustainable Food, Energy, and Water Systems," Center for Agricultural and Rural Development (CARD) Publications 16-wp563, Center for Agricultural and Rural Development (CARD) at Iowa State University.

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    More about this item

    Keywords

    logit; aggregated choice data; conservation tillage.;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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