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Global stochastic properties of dynamic models and their linear approximations

Authors
Journal
Journal of Economic Dynamics and Control
0165-1889
Publisher
Elsevier
Publication Date
Volume
34
Issue
5
Identifiers
DOI: 10.1016/j.jedc.2010.02.001
Keywords
  • Linearization
  • Arch Process
  • Real Business Cycles Model
  • Stochastic Difference Equation
Disciplines
  • Economics
  • Mathematics

Abstract

Abstract The dynamic properties of micro based stochastic macro models are often analyzed through a linearization around the associated deterministic steady state. Recent literature has investigated the errors made by such a deterministic approximation. Complementary to this literature we investigate how the linearization affects the stochastic properties of the original model. We consider a simple real business cycle model with noisy learning by doing. The solution has a stationary distribution that exhibits moment failure and has an unbounded support. The linear approximation, however, yields a stationary distribution with possibly a bounded support and all moments finite.

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