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Symmetric Positive Equilibrium Problem: A Framework for Rationalizing Economic Behavior with Limited Information
Author(s) -
Paris Quirino
Publication year - 2001
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.1111/0002-9092.00229
Subject(s) - limiting , economic analysis , selection (genetic algorithm) , sample (material) , principle of maximum entropy , computer science , base (topology) , function (biology) , mathematical optimization , mathematical economics , european union , entropy (arrow of time) , linear programming , economics , operations research , mathematics , engineering , artificial intelligence , thermodynamics , mechanical engineering , mathematical analysis , physics , evolutionary biology , biology , agricultural economics , economic policy
The PMP methodology is extended to deal with many economic units, self‐selection arising from heterogeneous economic behavior, and multiple limiting inputs. The novel structure for the analysis of this type of problems acquires the name “symmetric positive equilibrium problem.” This methodology is articulated in three phases that parallel those one of positive mathematical programming. The recovery of a cost function that calibrates the base‐year decisions of each economic unit is realized within a maximum entropy framework. The methodology is illustrated by the analysis of a sample of Italian farms that operate under the complex policy mandates of the European Union.