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Calibrarion By Simulation for Small Sample Bias Correction

Author

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  • Gourieroux, C.
  • Renault, E.
  • Touzi, N.

Abstract

This paper is interested in small sample properties of the indirect inference procedure which has been previously studied only from an asymptotic point of view. First, we highlight the fact that the Andrews(1993) median-bias correction procedure for autoregresssive parameter of an AR(1) process is closely related to indirect inference; we prove that the counterpart of the midian-bias correction for indirect inference estimator is an exact bias correction in the sense of a generalized mean. Next, assuming that the auxiliary estimator admits an Edgeworth expansion, we prove that indirect inference operates automatically a second order bias correction. The latter is a well known property of the Bootstrap estimator; we therefore provide a precise comparison between these two simulation based estimators.

Suggested Citation

  • Gourieroux, C. & Renault, E. & Touzi, N., 1996. "Calibrarion By Simulation for Small Sample Bias Correction," Papers 96.428, Toulouse - GREMAQ.
  • Handle: RePEc:fth:gremaq:96.428
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    Cited by:

    1. Mardi Dungey & Vance L Martin & Adrian R Pagan, 2000. "A multivariate latent factor decomposition of international bond yield spreads," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 697-715.
    2. Mealli, Fabrizia & Rampichini, Carla, 1999. "Estimating binary multilevel models through indirect inference," Computational Statistics & Data Analysis, Elsevier, vol. 29(3), pages 313-324, January.

    More about this item

    Keywords

    ECONOMETRICS;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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