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  • Cited by 11
Publisher:
Cambridge University Press
Online publication date:
February 2013
Print publication year:
2013
Online ISBN:
9781139424400

Book description

This book presents the reader with new operators and matrices that arise in the area of matrix calculus. The properties of these mathematical concepts are investigated and linked with zero-one matrices such as the commutation matrix. Elimination and duplication matrices are revisited and partitioned into submatrices. Studying the properties of these submatrices facilitates achieving new results for the original matrices themselves. Different concepts of matrix derivatives are presented and transformation principles linking these concepts are obtained. One of these concepts is used to derive new matrix calculus results, some involving the new operators and others the derivatives of the operators themselves. The last chapter contains applications of matrix calculus, including optimization, differentiation of log-likelihood functions, iterative interpretations of maximum likelihood estimators and a Lagrangian multiplier test for endogeneity.

Reviews

‘A very neat treatment of matrix calculus. There is no doubt that the new operators and matrices presented in the book will see their applications in many areas of econometrics.’

Yong Bao - Purdue University

'This book is very clearly written in a text style that conveys what needs to be said with no superfluous discussion. It represents a substantial contribution to our understanding of a difficult area. It is a beautiful book, and destined to become a classic.’

Ross Maller - Australian National University

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Contents

References

Byron, R. P.On the Derived Reduced Form from Limited Information Maximum Likelihood’, Australia National University Memo, 1978.
Bowden, R. and Turkington, D. A.Instrumental Variables, vol 8 of the Econometric Society Monographs in Quantitative Economics. New York: Cambridge University Press, 1990.
Durbin, J.Maximum Likelihood Estimator of the Parameters of a System of Simultaneous Regression Equations’, Econometric Theory 4 (1988): 159–70.
Dwyer, P. S.Some Applications of Matrix Derivatives in Multivariate Analysis’. Journal of the American Statistical Association 26 (1967): 607–25.
Dwyer, P. S. and MacPhail, M. S.Symbolic Matrix Derivatives’. Annals of Mathematical Statistics 19 (1948): 517–34.
Efron, B.Defining the Curvature of a Statistical Problem (with Applications to Second Order Efficiency)’, Annals of Statistics 3 (1975): 1189–242.
Fuller, W.Some Properties of a Modification of the Limited Information Estimator’, Econometrica 45 (1977): 939–56.
Graham, A.Kronecker Products and Matrix Calculus with Applications. Chichester, U.K.: Ellis Horwood, 1981.
Graeme, W. H.Econometric Analysis, 7th edn. Pearson, N.J.: Prentice Hall, 2010.
Hausman, J.Specification Tests in Econometrics’, Econometrica 46 (1978): 1251–71.
Henderson, H. V. and Searle, S. R.Vec and Vech Operators for Matrices with Some Uses in Jacobian and Multivariate Statistics’, Canadian Journal of Statistics 7 (1979): 65–81.
Henderson, H. V. and Searle, S. R.The Vec-Permutation Matrix, the Vec Operator and Kronecker Products: A Review’, Linear and Multilinear Algebra 9 (1981): 271–88.
Horn, R. A. and Johnson, C.R.Matrix Analysis. New York: Cambridge University Press, 1981.
Lutkepohl, H.Handbook of Matrices. New York: John Wiley & Sons, 1996.
Magnus, J.Linear Structures. New York: Oxford University Press, 1988.
Magnus, J. R.On the Concept of Matrix Derivative’, Journal of Multivariate Analysis 101 (2010): 2200–06.
Magnus, J. R. and Neudecker, H.Matrix Differential Calculus with Applications in Statistics and Econometrics, revised edn. New York: John Wiley & Sons, 1999.
Maller, R. A. and Turkington, D. A.New Light on the Portfolio Allocation Problem’, Mathematical Methods of Operations Research 56 (2002): 501–11.
Pagan, A. ‘Some Consequences of Viewing LIML as an Iterated Aitken Estimator’, Economic Letters (1979): 369–72.
Parring, A. M.About the Concept of the Matrix Derivative’. Linear Algebra and its Applications 176 (1992): 223–35.
Rilstone, P., Srivastava, U. K., and Ullah, A.The Second-order Bias and Mean Squared Error of Nonlinear Estimators’, Journal of Econometrics 75 (1996):369–95.
Rogers, G. S.Matrix Derivatives. New York: Marcel Dekker, 1980.
Theil, H.Principles of Econometrics. New York: John Wiley & Sons, 1971.
Turkington, D. A.Matrix Calculus and Zero-One Matrices, Statistical and Econometric Applications, paperback edn. New York: Cambridge University Press, 2005.
Zellner, A.An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias’. Journal of the American Statistical Association 57 (1962): 348–68.

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