Econometrics (advanced course) PROF. MARIO FALIVA COURSE AIMS The course aims to get the students acquainted with the methods and techniques of dynamic models analysis from both the structural and the time series econometrics standpoints. The content of the course covers both classical topics of structural econometrics – such as model forms, simulation, prediction, multipliers, causal analysis, – and selected topics of time series econometrics centred around VAR model specification, representation theorems, integration and cointegration issues. COURSE CONTENT PART I: Dynamic Models in Classical Econometrics – – – – – – – Structural and reduced forms of econometric models. The final form and its interpretation. Interim and dynamic multipliers. The causal structure of macro econometric models. Estimation in simultaneous equation models. Simulation and prediction. The policy evaluation problem. PART II: Complements of Matrix Algebra and Multivariate Time Series Analysis. PART III: Dynamic Models in Time Series Econometrics – – – – – Autoregressive processes: from stationary to integrated processes. VAR autoregressive (VAR) model specifications. Representation theorems of unit-roots econometrics. Integration and cointegration properties of VAR solutions. Estimation and testing in unit-root econometrics. READING LIST M. FALIVA-M.G. ZOIA, Dynamic Model Analysis. Advanced Matrix Methods and Unit-Root Econometrics Representation Theorems, Springer-Verlag, Berlin, 2009. M. FALIVA-M. G. ZOIA, Lectures in Econometric Modelling, EDUCatt, Milano, 2014. M. G. ZOIA, Topics in Time Series Econometrics, EDUCatt, Milano, 2014. A. DI SALVO, Un’indagine di customer satisfaction nei servizi di factoring analizzata mediante il modello ad equazioni strutturali con variabili latenti, Working paper, Dipartimento di Discipline matematiche, Finanza matematica ed Econometria, Vita e Pensiero, 2014. Further indication about the reading list will be provide throught the lectures. TEACHING METHOD Lectures and thematic seminars. ASSESSMENT METHOD Final exam: a written test followed, possibly by an oral exam. NOTES Further information can be found on the lecturer's webpage at http://docenti.unicatt.it/web/searchByName.do?language=ENG or on the Faculty notice board.