Bibliografía: p. 371-379.

Oreface -- 1. Introduction -- 2. Regression -- 3. The method of maxumum likelihood -- 4. Numerical optimisation -- 5. Test procedures and model selection -- 6. Regression models with serially correlated disturbances -- 7. Dynamic models I -- 8. Dynamic models II, stochastic difference equations -- 9. Simultaneous equation models -- Appendix on matrix algebra -- Answers to selected exercises -- References.

This new edition of A.C. Harvey's clearly written, upper-level text has been revised and several sections have been completely rewritten. There is new material on a number of topics, including unit roots, ARCH, and cointegration.

The Econometric Analysis of Time Series focuses on the statistical aspects of model building, with an emphasis on providing an understanding of the main ideas and concepts in econometrics rather than presenting a series of rigorous proofs. It explores the way in which recent advances in time series analysis have affected the development of a theory of dynamic econometrics, sets out an integrated approach to the problems of estimation and testing based on the method of maximum likelihood, and presents a coherent strategy for model selection.