Effects of Correlation between the Error Term and Autocorrelation on Some Estimators in a  System of Regression Equations

Effects of Correlation between the Error Term and Autocorrelation on Some Estimators in a System of Regression Equations

Olanrewaju, Samuel Olayemi

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Samuel Olayemi

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Effects of Correlation between the Error Term and Autocorrelation on Some Estimators in a System of Regression Equations

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Cr Unknown Title.
Unknown Title.
A Aitken (1935). On Least Squares and Linear Combinations of observations.
Kayode Ayinde,B Oyejola (2007). A Comparative Study of the Performances of the OLS and some GLS Estimators when Stochastic Regressors are both Collinear and Correlated with Error Terms.
J Chipman (1979). Efficiency of Least Squares Estimation of linear Trend when residuals are auto correlated.
David Edgerton,Ghazi Shukur (1999). Testing autocorrelation in a system perspective testing autocorrelation.
B Fomby,R Carter,R Johnson (1988). Advanced Econometric Methods.
W Kirkey,C Fuller,P O’brien,P Kirkey,A Mahmoud,A Ernest,J Guerrero (2003). River & Estuary Observation Network: Refinement of Stage Height Sensor Subsystem for Low Cost and High Reliability.
Christian Kleiber (2001). Finite sample efficiency of OLS in linear regression models with long-memory disturbances.
Walter Kramer (1980). Finite Sample Efficiency of Ordinary Least Squares in the Linear Regression Model with Autocorrelated Errors.
J Nwabueze (2000). Estimation of Parameters of Linear Regression Models with Auto correlated Errors terms.
Christopher O'donnell,C Shumway,V Ball (1999). Input Demands and Inefficiency in U.S. Agriculture.
S Olanrewaju (2013). Effects of Multicollinearity, Autocorrelation, and Correlation between the error terms on some Estimators in a System of Regression Equation.
S Olanrewaju,H Yahaya,M Uand Nasiru (2017). Effects of Multicollinearity and Autocorrelation on Some Estimators in a System of Regression Equation.
Alan Powell (1965). Aitken Estimators as a Tool in Allocating Predetermined Aggregates.
V Srivasta,D Giles (1987). SURE equations model: Estimation and inference.
David Unger,Huug Van Den Dool,Edward O’lenic,Dan Collins (2009). Ensemble Regression.
Parke Wilde,Paul Mcnamara,Christine Ranney (1999). The Effect of Income and Food Programs on Dietary Quality: A Seemingly Unrelated Regression Analysis with Error Components.
Arnold Zellner (1962). An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias.
Arnold Zellner (1963). Estimators for Seemingly Unrelated Regression Equations: Some Exact Finite Sample Results.

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No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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How to Cite This Article

Olanrewaju, Samuel Olayemi. 2020. \u201cEffects of Correlation between the Error Term and Autocorrelation on Some Estimators in a System of Regression Equations\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 20 (GJSFR Volume 20 Issue F4): .

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GJSFR Volume 20 Issue F4
Pg. 57- 75

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-F Classification: MSC 2010: 62M10

Submission ReceivedMay 15, 2020
Peer Review Double Blind
Handling Editor
Accepted June 12, 2020
Published June 24, 2020

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v1.2

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July 13, 2020

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