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Econometric Applications of the Forward Search in Regression: Robustness, Diagnostics, and Graphics

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  • Anthony Atkinson

Abstract

The article illustrates the use of the forward search to provide robust analyses of econometric data. The emphasis is on informative plots that reveal the inferential importance of each observation. The division of observations into “good” and “bad” leverage points is shown to be potentially misleading.

Suggested Citation

  • Anthony Atkinson, 2009. "Econometric Applications of the Forward Search in Regression: Robustness, Diagnostics, and Graphics," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 21-39.
    • Handle: RePEc:taf:emetrv:v:28:y:2009:i:1-3:p:21-39
    DOI: 10.1080/07474930802387803
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    References listed on IDEAS

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    1. Anthony C. Atkinson, 2002. "Forward search added-variable t-tests and the effect of masked outliers on model selection," Biometrika, Biometrika Trust, vol. 89(4), pages 939-946, December.
    2. Walter Nonneman & Patrick Vanhoudt, 1996. "A Further Augmentation of the Solow Model and the Empirics of Economic Growth for OECD Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 943-953.
    3. Zaman, Asad & Rousseeuw, Peter J. & Orhan, Mehmet, 2001. "Econometric applications of high-breakdown robust regression techniques," Economics Letters, Elsevier, vol. 71(1), pages 1-8, April.
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    Cited by:

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    3. Robert G. Aykroyd & Víctor Leiva & Carolina Marchant, 2018. "Multivariate Birnbaum-Saunders Distributions: Modelling and Applications," Risks, MDPI, vol. 6(1), pages 1-25, March.

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