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Modern Techniques for Modern Time-Series Analysis! A ssuming 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.