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Novel symmetry tests in regression models based on Gini mean difference

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  • Hend Auda

Abstract

This article proposes two new tests of symmetry based on the Gini mean difference. The symmetry hypothesis of the disturbance in a linear regression model around zero was analyzed using the proposed tests. A Monte Carlo simulation study shows that the tests have good size and power properties for sample sizes as small as 30. The symmetry of the error term in a cross county model of Gini index as a measure of income inequality and consumer price inflation was studied by the proposed tests. Copyright Sapienza Università di Roma 2013

Suggested Citation

  • Hend Auda, 2013. "Novel symmetry tests in regression models based on Gini mean difference," METRON, Springer;Sapienza Università di Roma, vol. 71(1), pages 21-32, June.
    • Handle: RePEc:spr:metron:v:71:y:2013:i:1:p:21-32
    DOI: 10.1007/s40300-013-0004-1
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    References listed on IDEAS

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    1. Thanasis Stengos & Ximing Wu, 2010. "Information-Theoretic Distribution Test with Application to Normality," Econometric Reviews, Taylor & Francis Journals, vol. 29(3), pages 307-329.
    2. Newey, Whitney K., 1988. "Adaptive estimation of regression models via moment restrictions," Journal of Econometrics, Elsevier, vol. 38(3), pages 301-339, July.
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