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Estimating Population Dynamics without Population Data

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  • Robert G. Chambers
  • Vangelis Tzouvelekas

    (Department of Economics, University of Crete, Greece)

Abstract

We develop a biologically correct cost system for production systems facing invasive pests that allows the estimation of population dynamics without a priori knowledge of their true values. We apply that model to a data set for olive producers in Crete and derive from it predictions about the underlying population dynamics. Those dynamics are compared to information on population dynamics obtained from pest sampling with extremely favorable results.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Robert G. Chambers & Vangelis Tzouvelekas, 2012. "Estimating Population Dynamics without Population Data," Working Papers 1210, University of Crete, Department of Economics.
    • Handle: RePEc:crt:wpaper:1210
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    References listed on IDEAS

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    Cited by:

    1. Jardine, Sunny L. & Sanchirico, James N., 2018. "Estimating the cost of invasive species control," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 242-257.
    2. Wechsler, Seth J. & McFadden, Jonathan R. & Smith, David J., 2016. "Into the Weeds: A Structural Model of Herbicide Demand and Glyphosate Resistance on U.S. Corn Farms," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235998, Agricultural and Applied Economics Association.
    3. Dakpo, K.H. & Vincent, M. & Boussemart, J.-P., 2018. "Spatial aggregation of land uses allocation and pesticide efficiency at landscape level A Multi-ware production approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277258, International Association of Agricultural Economists.

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    More about this item

    Keywords

    Separable technologies; Pest population; Damage control; Olive farms; Greece;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery

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