Wiley Series in Probability and Statistics
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This advanced text for a course on time series econometrics introduces modern time series analyses through the use of wide-ranging examples and applications. Providing a balance between macro and microeconomic applications, the book covers recent work in non-stationary time series that has only been published in journals, including unit-root test, ARCH models and co-integration/error-correction models. VAR analysis has been added as well as examples from different sources; the examples include Exchange Rate determination, the theory of purchasing power parity, and transnational terrorism.
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.