Approximate Generalizations and Applied Equilibrium Analysis

作者: Felix E. Kubler

DOI: 10.2139/SSRN.720421

关键词:

摘要: In this paper I derive conditions on the fundamentals of general equilibrium models that allow for a generalization finitely many examples to statements about (infinite) classes economies and show how these approximate generalizations can be applied in computational experiments. If there exist upper bounds number connected components one-dimensional linear subsets set parameters which conjecture is true, one conclude it correct all parameter values class considered, except small residual set, once has verified predetermined finite points. spell out assumptions economic ensure exist, bounded from above. argue utility- production functions used analysis satisfy conditions. Using theoretical results, experiments explore qualitative quantitative implications models. give actual realistically calibrated discuss both deterministic random algorithms generalizing economies.

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