This is the new and totally revised edition of Lütkepohl’s classic 1991 work. It provides a detailed introduction to the main steps of analyzing multiple time series, model specification, estimation, model check...

Buy Now From Amazon

Product Review

This is the new and totally revised edition of Lütkepohl’s classic 1991 work. It provides a detailed introduction to the main steps of analyzing multiple time series, model specification, estimation, model checking, and for using the models for economic analysis and forecasting. The book now includes new chapters on cointegration analysis, structural vector autoregressions, cointegrated VARMA processes and multivariate ARCH models. The book bridges the gap to the difficult technical literature on the topic. It is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it.



Similar Products

Structural Vector Autoregressive Analysis (Themes in Modern Econometrics)Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)Advances in Financial Machine LearningAn Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent SystemsMultivariate Time Series Analysis: With R and Financial ApplicationsPractical Time Series Analysis: Prediction with Statistics and Machine LearningTime Series AnalysisTrading Evolved: Anyone can Build Killer Trading Strategies in Python