The first edition of this book has been described as a landmark book, being the first of its kind in applied econometrics. This second edition is thoroughly revised and updated and explains how to use many recent technical developments in time series econometrics. The main objective of the book is to help many applied economists, with a limited background in econometric estimation theory, to understand and apply widely used time eseries econometric techniques.

'This most commendable volume brings together a set of papers which permits ready access to the means of estimating quantitative relationships using cointegration and error correction procedures. Providing the data to show fully the basis for calculation, this approach is an excellent perception of the needs of senior undergraduates and graduate students.' - Professor W.P. Hogan, The University of Sydney Applied economists, with modest econometric background, are now desperately looking for expository literature on the unit roots and cointegration techniques. This volume of expository essays is written for them. It explains in a simple style various tests for the existence of unit roots and how to estimate cointegration relationships. Original data are given to enable easy replications. Limitations of some existing unit root tests are also discussed.

'I wish Professor Rao and his collaborators every success in ensuring that future generations of students do not have to put up with logically incoherent foundations to their understanding of modern economic systems' - G.C. Harcourt, Jesus College, Cambridge There is now an increasing realisation that the popular textbook macroeconomic model of aggregate demand and supply is logically incorrect. While there is a broad agreement among the critiques on these logical flaws there has been no such agreement on how the basic textbook macromodel should be modified. The essays in this volume contain very promising alternative models which will significantly influence the way macroeconomics will be taught in the future.