An Introduction to Econometric Theory

<p><b>A guide to economics, statistics and finance that explores the mathematical foundations underling econometric methods</b></p> <p><i>An Introduction to Econometric Theory</i> offers a text to help in the mastery of the mathematics that underlie econometric methods and includes a detailed study of matrix algebra and distribution theory. Designed to be an accessible resource, the text explains in clear language why things are being done, and how previous material informs a current argument. The style is deliberately informal with numbered theorems and lemmas avoided. However, very few technical results are quoted without some form of explanation, demonstration or proof.</p> <p>The author — a noted expert in the field — covers a wealth of topics including: simple regression, basic matrix algebra, the general linear model, distribution theory, the normal distribution, properties of least squares, unbiasedness and efficiency, eigenvalues, statistical inference in regression, t and F tests, the partitioned regression, specification analysis, random regressor theory, introduction to asymptotics and maximum likelihood. Each of the chapters is supplied with a collection of exercises, some of which are straightforward and others more challenging. This important text:</p> <ul> <li>Presents a guide for teaching econometric methods to undergraduate and graduate students of economics, statistics or finance</li> <li>Offers proven classroom-tested material</li> <li>Contains sets of exercises that accompany each chapter</li> <li>Includes a companion website that hosts additional materials, solution manual and lecture slides </li> </ul> <p>Written for undergraduates and graduate students of economics, statistics or finance, <i>An Introduction to Econometric Theory</i> is an essential beginner’s guide to the underpinnings of econometrics. </p> <p> </p>