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Quasi-Aitken estimation for heteroskedasticity of unknown form

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  • Cragg, John G.

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  • Cragg, John G., 1992. "Quasi-Aitken estimation for heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 179-201.
    • Handle: RePEc:eee:econom:v:54:y:1992:i:1-3:p:179-201
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    Cited by:

    1. Romano, Joseph P. & Wolf, Michael, 2017. "Resurrecting weighted least squares," Journal of Econometrics, Elsevier, vol. 197(1), pages 1-19.
    2. Chaudhuri, Saraswata & Renault, Eric, 2023. "Efficient estimation of regression models with user-specified parametric model for heteroskedasticty," The Warwick Economics Research Paper Series (TWERPS) 1473, University of Warwick, Department of Economics.
    3. Pötscher, Benedikt M. & Preinerstorfer, David, 2021. "Valid Heteroskedasticity Robust Testing," MPRA Paper 117855, University Library of Munich, Germany, revised Jul 2023.
    4. Pötscher, Benedikt M. & Preinerstorfer, David, 2023. "How Reliable Are Bootstrap-Based Heteroskedasticity Robust Tests?," Econometric Theory, Cambridge University Press, vol. 39(4), pages 789-847, August.
    5. Creel, Michael & Farell, Montserrat, 1996. "SUR estimation of multiple time-series models with heteroscedasticity and serial correlation of unknown form," Economics Letters, Elsevier, vol. 53(3), pages 239-245, December.
    6. Donald, Stephen G., 1995. "Two-step estimation of heteroskedastic sample selection models," Journal of Econometrics, Elsevier, vol. 65(2), pages 347-380, February.

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