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Global Stochastic Properties of Dynamic Models and their Linear Approximations

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  • Ana Babus

    (University of Cambridge)

  • Casper G. de Vries

    (Erasmus University Rotterdam)

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 error 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 momentsfinite.

Suggested Citation

  • Ana Babus & Casper G. de Vries, 2010. "Global Stochastic Properties of Dynamic Models and their Linear Approximations," Tinbergen Institute Discussion Papers 10-081/2, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20100081
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    References listed on IDEAS

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    Cited by:

    1. Loretti I. Dobrescu & Mihaela Neamtu & Dumitru Opris, 2011. "A Discrete--Delay Dynamic Model for the Stock Market," Discussion Papers 2012-11, School of Economics, The University of New South Wales.

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    More about this item

    Keywords

    Linearization; ARCH process; Real business cycles model; Stochastic difference equation;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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