Agricultural Decision Making in the Argentine Pampas: Modeling the Interaction between Uncertain and Complex Environments and Heterogeneous and Complex Decision Makers

  • Guillermo Podestá
  • Elke U. Weber
  • Carlos Laciana
  • Federico Bert
  • David Letson
Part of the Springer Optimization and Its Applications book series (SOIA, volume 21)

Simulated outcomes of agricultural production decisions in the Argentine Pampas were used to examine “optimal” land allocations among different crops identified by maximization of the objective functions associated with expected utility and prospect theories. We propose a more mathematically tractable formulation for the prospect theory value-function maximization, and explore results for a broad parameter space. Optimal actions differ among some objective functions and parameter values, especially for land tenants, whose enterprise allocation is less constrained by rotations. Our results demonstrate in a nonlaboratory decision context that psychologically plausible deviations from EU maximization matter.


Risk Aversion Prospect Theory Land Tenant Loss Aversion Initial Wealth 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Guillermo Podestá
    • 1
  • Elke U. Weber
    • 2
  • Carlos Laciana
    • 3
  • Federico Bert
    • 4
  • David Letson
    • 1
  1. 1.Rosenstiel School of Marine and Atmospheric ScienceUniversity of MiamiUSA
  2. 2.Department of Psychology and Graduate School of BusinessColumbia UniversityUSA
  3. 3.Facultad de IngenieríiaUniversity of Buenos AiresArgentina
  4. 4.Facultad de AgronomíiaUniversity of Buenos AiresArgentina

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