An Alternative to Stationarization
AbstractFor good reasons, it is standard practice to remove trends before linearizing a growth model. This paper explores an alternative strategy that consists in computing local approximations around successive points in the state space. Obviously this is terribly inefficiant it trend removal is feasible, but it makes possible to do local approximation in models that don't allow for trend removal. Among such models one can find models that don't display balanced growth and some models with learning
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 377.
Date of creation: 04 Jul 2006
Date of revision:
approximation method; growth models;
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- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
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