Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation.
One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package.
Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the
basic material and separate chapters on areas of specialized interest.
Publisher: Oxford University Press Inc
Number of pages: 894
Weight: 1418 g
Dimensions: 245 x 163 x 48 mm
`Excellent reference text on econometrics.'
Ron Smith, Birkbeck College, London
`This is a very good overall post-graduate textbook in econometrics.'
Dr Offer Lieberman, University of Bristol
`a welcome addition to the long bookshelf of choices available to those teaching graduate econometrics ... the book is remarkably self-contained and internally integrated ... the Davidson and Mackinnon volume represents an excellent choice from a range of fine texts. I look forward to using it in my classes as an extension of the Gujarati text'