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Testing Symmetry And Homogeneity In The Aids With Cointegrated Data Using Fully-Modified Estimation And The Bootstrap

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  • Tiffin, J. Richard
  • Balcombe, Kelvin George

Abstract

Convential SUR estimation of the AIDS is shown to lead to small sample bias and distortions in the size of a Wald test for symmetry and homogeneity when the data are cointegrated. A fully-modified estimator is developed in an attempt to remedy these problems. It is shown that this estimator reduces the small sample bias but fails to eliminate the size distortion. Bootstrapping is shown to be ineffective as a method of removing small sample bias in both the conventional and fully modified estimators. Bootstrapping is effective however as a method of removing the size distortion and performs equally well in this respect with both estimators.

Suggested Citation

  • Tiffin, J. Richard & Balcombe, Kelvin George, 2003. "Testing Symmetry And Homogeneity In The Aids With Cointegrated Data Using Fully-Modified Estimation And The Bootstrap," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25845, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae03:25845
    DOI: 10.22004/ag.econ.25845
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    References listed on IDEAS

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    Cited by:

    1. Ken-ichi Mizobuchi & Hisashi Tanizaki, 2014. "On estimation of almost ideal demand system using moving blocks bootstrap and pairs bootstrap methods," Empirical Economics, Springer, vol. 47(4), pages 1221-1250, December.

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