Applied Econometric Time Series (2nd Edition)

Assuming only a basic understanding of multiple regression analysis, the accessible introduction to time-series analysis shows how to develop models capable of forecasting, interpreting, and testing hypotheses concerning economic data using modern techniques.This new edition reflects recent advances in time-series econometrics, such as out-of-sample forecasting techniques, nonlinear time-series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from agricultural economics to transnational terrorism illustrate the techniques.

Features:

• Detailed example using real-world data illustrate key concepts.
• Present a straightforward, step-by-step approach to time-series estimation.
• A large number of questions and empirical exercises enable you to practice the techniques covered in the text.
• Data sets are available on the text’s Web site.
• Emphasizes difference equations as the foundation of all time-series models.