A Modern Gauss-Markov Theorem? Really?
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Other versions of this item:
- Benedikt M. Potscher & David Preinerstorfer, 2022. "A Modern Gauss-Markov Theorem? Really?," Papers 2203.01425, arXiv.org, revised Oct 2023.
- Pötscher, Benedikt M. & Preinerstorfer, David, 2022. "A Modern Gauss-Markov Theorem? Really?," MPRA Paper 112607, University Library of Munich, Germany.
References listed on IDEAS
- Stephen Portnoy, 2022. "Linearity of Unbiased Linear Model Estimators," The American Statistician, Taylor & Francis Journals, vol. 76(4), pages 372-375, October.
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Cited by:
- Bollerslev, Tim & Li, Jia & Li, Qiyuan, 2024. "Optimal nonparametric range-based volatility estimation," Journal of Econometrics, Elsevier, vol. 238(1).
- Pötscher, Benedikt M., 2024.
"Comments on B. Hansen's Reply to "A Comment on: `A Modern Gauss-Markov Theorem'", and Some Related Discussion,"
MPRA Paper
121144, University Library of Munich, Germany.
- Benedikt M. Potscher, 2024. "Comments on B. Hansen's Reply to "A Comment on: `A Modern Gauss-Markov Theorem'", and Some Related Discussion," Papers 2406.03971, arXiv.org.
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More about this item
Keywords
Gauss-Markov Theorem; Aitken Theorem; unbiased estimation;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CWA-2022-04-25 (Central and Western Asia)
- NEP-ECM-2022-04-25 (Econometrics)
- NEP-ETS-2022-04-25 (Econometric Time Series)
- NEP-ORE-2022-04-25 (Operations Research)
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