Reflects advances in time-series econometrics, such as out-of-sample forecasting techniques, non-linear time-series models, Monte Carlo analysis, and bootstrapping. This title includes numerous examples from fields ranging from agricultural economics to transnational terrorism that illustrate various techniques.

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. The first edition of Applied Econometric Time Series was among those chosen. This new edition reflects recent advances in time--series econometrics, such as out--of--sample forecasting techniques, non--linear time--series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from agricultural economics to transnational terrorism illustrate various techniques.

Preface.About the Authors.Chapter 1. Difference Equations.Chapter 2. Stationary Time-Series Models.Chapter 3. Modeling Volatility.Chapter 4. Models with Trend.Chapter 5. Multiequation Time-Series Models.Chapter 6. Cointegration and Error-Correction Models.Chapter 7. Nonlinear Time-Series Models.Statistical Tables.References.Index.