<p>An introductory textbook on econometrics which contains careful use of linear algebra and consistent notation to avoid confusing the student. Both sampling theory and Bayesian methods of inference are added to interweave economic theory, inferential statistics and practice.</p>

Learning and Practising Econometrics

Business & Money

Griffiths, William

Hill, R.C.

Judge, George

Economics

John Wiley and Sons Ltd.

This second edition of the introduction to econometrics retains its comprehensive nature and while incorporating much new material. New to this edition are a complete treatment of Bayesian inference, sampling theory, an appendix on linear algebra, and a computer handbook. Presentation covers modern statistical models and focuses on the sampling theory process by which the data were generated, and the statistical consequences of alternative decisions under uncertainty. Asymptotics are introduced early on, for use throughout. At least one applied example is included to illustrate each model and there are also many analytical and numerical exercises.

Introduction to the Theory and Practice of Econometrics

Lee, T.C.

Judge, G

Griffiths, W.E.

Lutkepol, H.

This broadly based textbook covers the major models and statistical tools currently used in the practice of econometrics. It examines the classical, the decision theory and the Bayesian approaches, and contains material on single equation and simultaneous equation econometric models. It includes an extensive reference list for each topic.

The Theory and Practice of Econometrics (Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics Section)

Lutkepohl, H.

Judge, G.C.

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