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Vector autoregressive moving-average (VARMA) processes are suitable models for producing linear forecasts of sets of time series variables. They provide parsimonious representations of linear data generation processes. The setup for these processes in the presence of stationary and cointegrated...
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This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students …. It covers key topics in econometrics by using step-by-step examples in Gretl and R, providing a guide to using … for upper undergraduate students taking courses in introductory econometrics and statistics, as well as students in …
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This paper asks the question: Why has the ?general-to-specific? cointegrated VAR approach as developed in Europe had only limited success in the US as a tool for doing empirical macroeconomics, where what might be called a ?theory comes first? approach dominates? The reason this paper highlights...
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We consider VAR models for variables exhibiting cointegration and common cyclical features. While the presence of … cointegration reduces the rank of the long-run multiplier matrix, other types of common features lead to rank reduction of the short …
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