Journal of Mathematical Sciences: Advances and Applications[1] D. A. Agunbiade and N. O Adeboye, Estimation of heteroscedasticity
effects in a classical linear regression model of a cross-sectional
data, Progress in Applied Mathematics 4(2) (2012), 18-28.
www.cscanada.net
[2] D. A. Agunbiade and J. A. Osilagun, Identifiability criteria in a
simultaneous equation model, African Journal of Pure Applied Sciences
1(1) (2008), 34-38.
[3] D. A. Agunbiade, Parameters estimation of simultaneous equations
model in the presence of multicollinearity, Bull. Cal. Math. Soc.
103(6) (2011), 489-500.
[4] D. A. Agunbiade and J. O. Iyaniwura, Estimation under
multicollinearity: A comparative approach using Monte Carlo methods,
Journal of Mathematics and Statistics 6(2) (2010), 183-192.
www.scipub.org
[5] B. R. Casteneira and L. C. Nunes, Testing Endogeneity in a
Regression Model: An Application of Instrumental Variable Estimation,
Investigation Operative 8 (1, 2 and 3) (1999),
[6] R. C. Fair, The estimation of simultaneous equation models with
lagged endogenous variables and first order serially correlated
errors, Econometrica 38(3) (1970).
[7] A. S. Goldberger, A Course in Econometrics. Harvard University
Press, 1991.
[8] William H. Greene, Econometric Analysis, Fifth Edition, Upper
Saddle River, New Jersey, Prentice Hall, 2003.
[9] D. N. Gujarati and Sangeetha, Basic Econometrics, Tata McGraw-Hill
Edition (Fourth Edition) (2007), 1036. ISBN 978-0-07-066005-2
[10] M. Intriligator, R. Bodkin and C. Hsiao, Econometric Models
Techniques and Applications, Prentice Hall, International Edition,
1996.
[11] J. Johnston, Econometrics Methods, Fifth Edition, McGraw - Hill
Book Company, New York, 2007.
[12] J. Kmenta, Element of Econometrics, Macmillan, New York, 1971.
[13] A. Korostelev and O. Korosteleva, Mathematical statistics,
Asymptotic minimax theory, Applied Mathematics of American
Mathematical Society 119 (2011).
[14] A. Kutsoyiannis, Theory of Econometrics: An Introductory
Exposition of Econometric Methods, Second Edition, Palgrave, New York,
2003.
[15] G. S. Maddala, Introduction to Econometrics, Third Edition, John
Wiley and Sons Ltd., (2005), 636. ISBN 9971-51-383-8.
[16] S. K. Mishra, Estimation under Multicollinearity Application of
Restricted Liu and Maximum Entropy Estimators to the Portland Cement
Dataset, 2004.
http://mpra.ub.uni-muenchen.de/1809/
[17] D. C. Montgomery, E. A. Pack and G. G. Vining, Introduction to
Linear Regression Analysis, Third Edition, Wiley Series in Probability
and Statistics, (2007), 641. ISBN 81-265-1047-1
[18] A. L. Nagar, A Monte Carlo study of alternative simultaneous
equation estimators Econometrica 28(3) (1969), 573-590.
[19] O. E. Oduntan, The problem of multicollinearity phenomenon in a
simultaneous equation. A Monte Carlo Approach. An unpublished PhD.
Thesis submitted to the Department of Statistics, University of
Ibadan, Ibadan, 2005.
[20] J. K. Olayemi and S. O. Olayide, Elements of Applied Econometrics
(1998).
[21] J. B. Parker, The use of the Monte Carlo methods for solving
large scale problems in neutronics, Journal of Royal Statistical
Society of America 135(1) (1972), 16-37.
[22] H. M. Wagnar, A Monte Carlo study of estimates of simultaneous
linear structural Equations, Econometrica 26 (1958), 117-133.
