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Linear Regression with Non-Normal Error Terms

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  • Zeckhauser, Richard
  • Thompson, Mark

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  • Zeckhauser, Richard & Thompson, Mark, 1970. "Linear Regression with Non-Normal Error Terms," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 280-286, August.
    • Handle: RePEc:tpr:restat:v:52:y:1970:i:3:p:280-86
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    Cited by:

    1. Zhou, Zhou & Wu, Wei Biao, 2011. "On linear models with long memory and heavy-tailed errors," Journal of Multivariate Analysis, Elsevier, vol. 102(2), pages 349-362, February.
    2. A. Asrat Atsedeweyn & K. Srinivasa Rao, 2014. "Linear regression model with new symmetric distributed errors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(2), pages 364-381, February.
    3. Du, Jiang & Sun, Zhimeng & Xie, Tianfa, 2013. "M-estimation for the partially linear regression model under monotonic constraints," Statistics & Probability Letters, Elsevier, vol. 83(5), pages 1353-1363.
    4. Zeckhauser Richard, 2006. "Investing in the Unknown and Unknowable," Capitalism and Society, De Gruyter, vol. 1(2), pages 1-41, September.
    5. Tumlinson, Samuel E., 2015. "On the non-existence of maximum likelihood estimates for the extended exponential power distribution and its generalizations," Statistics & Probability Letters, Elsevier, vol. 107(C), pages 111-114.
    6. Freeman, Mark C. & Wagner, Gernot & Zeckhauser, Richard J., 2015. "Climate Sensitivity Uncertainty: When Is Good News Bad?," Working Paper Series rwp15-002, Harvard University, John F. Kennedy School of Government.
    7. Majumdar, Sumit K., 2000. "With a little help from my friends? Cross-subsidy and installed-base quality in the U.S. telecommunications industry," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 445-470, April.
    8. James Hansen & James McDonald & Panayiotis Theodossiou & Brad Larsen, 2010. "Partially Adaptive Econometric Methods For Regression and Classification," Computational Economics, Springer;Society for Computational Economics, vol. 36(2), pages 153-169, August.
    9. Sumit Majumdar, 1996. "Bandwagon Influences And Installed-Base Conversion In U.S. Telecommunications," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 4(2), pages 113-122.
    10. Bao, Te & Diks, Cees & Li, Hao, 2018. "A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction," Economic Modelling, Elsevier, vol. 68(C), pages 611-621.
    11. Ioannidis, Filippos & Kosmidou, Kyriaki & Savva, Christos & Theodossiou, Panayiotis, 2021. "Electricity pricing using a periodic GARCH model with conditional skewness and kurtosis components," Energy Economics, Elsevier, vol. 95(C).
    12. Majumdar, Sumit K., 2000. "Sluggish giants, sticky cultures, and dynamic capability transformation," Journal of Business Venturing, Elsevier, vol. 15(1), pages 59-78, January.
    13. Callealta Barroso, Francisco Javier & García-Pérez, Carmelo & Prieto-Alaiz, Mercedes, 2020. "Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries," Economic Modelling, Elsevier, vol. 89(C), pages 512-522.
    14. Du, Jiang & Zhang, Zhongzhan & Xie, Tianfa, 2018. "A weighted M-estimator for linear regression models with randomly truncated data," Statistics & Probability Letters, Elsevier, vol. 138(C), pages 90-94.
    15. Tomasz Kozubowski & Saralees Nadarajah, 2010. "Multitude of Laplace distributions," Statistical Papers, Springer, vol. 51(1), pages 127-148, January.
    16. Hans Dillen & Bo Stoltz, 1999. "The distribution of stock market returns and the market model," Finnish Economic Papers, Finnish Economic Association, vol. 12(1), pages 41-56, Spring.
    17. Hansen, James V. & McDonald, James B. & Turley, Robert S., 2006. "Partially adaptive robust estimation of regression models and applications," European Journal of Operational Research, Elsevier, vol. 170(1), pages 132-143, April.

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