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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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    References listed on IDEAS

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    1. Lori Lynch & Sabrina J. Lovell, 2003. "Combining Spatial and Survey Data to Explain Participation in Agricultural Land reservation Programs," Land Economics, University of Wisconsin Press, vol. 79(2), pages 259-276.
    2. 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.
    3. 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.
    4. Nelson, Gerald C. & Geoghegan, Jacqueline, 2002. "Deforestation and land use change: sparse data environments," Agricultural Economics, Blackwell, vol. 27(3), pages 201-216, November.
    5. Kurkalova, Lyubov A. & Rabotyagov, Sergey S., 2006. "Estimation of a binary choice model with grouped choice data," Economics Letters, Elsevier, vol. 90(2), pages 170-175, February.
    6. David J. Lewis & Andrew J. Plantinga & JunJie Wu, 2009. "Targeting Incentives to Reduce Habitat Fragmentation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1080-1096.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    8. JunJie Wu & Bruce A. Babcock & P. G. Lakshminarayan, 1996. "Choice of Tillage, Rotation, and Soil Testing Practices: Economic and Environmental Implications, The," Center for Agricultural and Rural Development (CARD) Publications 96-wp161, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    9. Garrett, Thomas A., 2003. "Aggregated versus disaggregated data in regression analysis: implications for inference," Economics Letters, Elsevier, vol. 81(1), pages 61-65, October.
    10. Daniel Hellerstein, 2005. "Modeling Discrete Choice with Uncertain Data: An Augmented MNL Estimator," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 77-84.
    11. Lubowski, Ruben N. & Plantinga, Andrew J. & Stavins, Robert N., 2006. "Land-use change and carbon sinks: Econometric estimation of the carbon sequestration supply function," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 135-152, March.
    12. Cooper, Joseph C., 1997. "Combining Actual And Contingent Behavior Data To Model Farmer Adoption Of Water Quality Protection Practices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(01), July.
    13. Richard E. Just & Rulon D. Pope, 1999. "Implications of Heterogeneity for Theory and Practice in Production Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 711-718.
    14. Gotway C.A. & Young L.J., 2002. "Combining Incompatible Spatial Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 632-648, June.
    15. Richard Howitt & Arnaud Reynaud, 2003. "Spatial disaggregation of agricultural production data using maximum entropy," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(3), pages 359-387, September.
    16. JunJie Wu & Bruce A. Babcock, 1998. "The Choice of Tillage, Rotation, and Soil Testing Practices: Economic and Environmental Implications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 494-511.
    17. Muller, Daniel & Zeller, Manfred, 2002. "Land use dynamics in the central highlands of Vietnam: a spatial model combining village survey data with satellite imagery interpretation," Agricultural Economics, Blackwell, vol. 27(3), pages 333-354, November.
    18. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
    19. Tommi Orpana & Jouko Lampinen, 2003. "Building Spatial Choice Models from Aggregate Data," Journal of Regional Science, Wiley Blackwell, vol. 43(2), pages 319-348.
    20. Claassen, Roger & Cattaneo, Andrea & Johansson, Robert, 2008. "Cost-effective design of agri-environmental payment programs: U.S. experience in theory and practice," Ecological Economics, Elsevier, vol. 65(4), pages 737-752, May.
    21. 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.
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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.

    More about this item

    Keywords

    logit; aggregated choice data; conservation tillage.;

    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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