Mathematics for Econometrics [Paperback]

This book deals with a number of mathematical topics that are of great importance in the study of classical econometrics. There is a lengthy chapter on matrix algebra, which takes the reader from the most elementary aspects to the partitioned inverses, characteristic roots and vectors, symmetric, and orthogonal and positive (semi) definite matrices. The book also covers pseudo-inverses, solutions to systems of linear equations, solutions of vector difference equations with constant coefficients and random forcing functions, matrix differentiation, and permutation matrices. Its novel features include an introduction to asymptotic expansions, and examples of applications to the general-linear model (regression) and the general linear structural econometric model (simultaneous equations).

This book deals with a number of mathematical topics that are of great importance in the study of classical econometrics, including matrix algebra, solutions to systems of linear equations and random forcing function.Preface.- Chapters.- Bibliography.- References.

Dhrymes Mathematics for Econometrics is aninteresting book for review in Technometrics. Econometrics is an area likelystudied by quite a few readers, especially those with graduate backgrounds inbusiness and/or economics. The current text offers an excellent reference forreaders wishing to study econometrics in the future & . Statisticians will findit useful as well, both as a reference and as a potential course supplement. (J.Douglas Barrett, Technometrics,Vol. 57 (1), February, 2015)

The book under review includes topics from mathematics for econometrics, mainly from linear algebra and probability theory. & In addition to people working econometrics, this book can be used for students in an applied linear algebra course to find some applications. (Mehdi Hassani, MAA Reviews, July, 2014)

Professor Dhrymes is currently Professor of Economics at Columbia University. Earlier he lã©