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Structural Inference With Long-Run Recursive Empirical Models

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  • Keating, John W.

Abstract

This paper investigates conditions under which a long-run recursive model can be used to identify a structure. Economists frequently employ this type of empirical model. I define the class of long-run partially recursive structures. If an economic system is a member of this class, then certain long-run recursive empirical models will obtain some of the structural impulse response functions. This sufficient condition for a structure is first shown in a vector autoregression. A well-known example from the literature is used to illustrate this particular class of structures and to present some useful applications of the result. Then the result is shown in models of cointegrated time series. Necessary conditions for a long-run recursive model to identify structure are addressed in the conclusion.

Suggested Citation

  • Keating, John W., 2002. "Structural Inference With Long-Run Recursive Empirical Models," Macroeconomic Dynamics, Cambridge University Press, vol. 6(2), pages 266-283, April.
    • Handle: RePEc:cup:macdyn:v:6:y:2002:i:02:p:266-283_03
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    Cited by:

    1. Christian Balcells, 2022. "Determinants of firm boundaries and organizational performance: an empirical investigation of the Chilean truck market," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 423-461, April.
    2. M. Huchet & Jean-Sébastien Pentecôte, 2008. "Growing too fast? Shock asymmetries and the Euro area enlargement," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 51(1), pages 33-56.
    3. Keuk-Soo Kim & W. Douglas McMillin, 2003. "Estimating the effects of monetary policy shocks: does lag structure matter?," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1515-1526.
    4. Halabi, Claudia E. & Lastrapes, William D., 2003. "Estimating the liquidity effect in post-reform Chile: do inflationary expectations matter?," Journal of International Money and Finance, Elsevier, vol. 22(6), pages 813-833, November.

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