Insegnamento a.a. 2017-2018

20532 - MACROECONOMETRICS


CLMG - M - IM - MM - AFC - CLEFIN-FINANCE - CLELI - ACME - DES-ESS - EMIT - GIO

Department of Economics

Course taught in English

Go to class group/s: 31
CLMG (6 credits - I sem. - OP  |  SECS-P/05) - M (6 credits - I sem. - OP  |  SECS-P/05) - IM (6 credits - I sem. - OP  |  SECS-P/05) - MM (6 credits - I sem. - OP  |  SECS-P/05) - AFC (6 credits - I sem. - OP  |  SECS-P/05) - CLEFIN-FINANCE (6 credits - I sem. - OP  |  SECS-P/05) - CLELI (6 credits - I sem. - OP  |  SECS-P/05) - ACME (6 credits - I sem. - OP  |  SECS-P/05) - DES-ESS (6 credits - I sem. - OP  |  SECS-P/05) - EMIT (6 credits - I sem. - OP  |  SECS-P/05) - GIO (6 credits - I sem. - OP  |  SECS-P/05)
Course Director:
LUCA SALA

Classes: 31 (I sem.)
Instructors:
Class 31: LUCA SALA


Course Objectives

The course aims to improve the knowledge of time series econometrics and discusses the most recent developments in the literature. Interest is focused on the estimation and testing of dynamic models derived from macroeconomic theories. The course deals with both the theoretical foundations and applications to real data. Computer sessions are used; the software Matlab is first described and then used to replicate papers in the literature.

Course Content Summary

  • Single equation models.
    • Introduction to time series econometrics.
    • ARMA and ARIMA models.
    • Trend-cycle decompositions.
  • Multiequation models.
    • VAR Models.
    • SVAR Models (with short and long run restrictions).
    • Common trends and cointegration.
    • Cointegrated VAR models.
    • Error Correction Mechanisms.
    • Factor models.
    • Non-fundamentalness.

Detailed Description of Assessment Methods

The final grade is based on a written exam (70% of the final grade) and on 4 problem sets (30% of the final grade).


Textbooks

A complete and up-to-date reading list is provided at the beginning of the course.

The reference books for this course are:
  • W. ENDERS, Applied Econometric Time Series, Wiley Series in Probability and Statistics, 2004, 2nd edition.
  • J.D. HAMILTON, Time Series Analysis, Princeton University Press, 1994.

Lectures notes are distributed during the course.
Exam textbooks & Online Articles (check availability at the Library)

Prerequisites

A basic knowledge of econometrics is highly recommended.
Last change 29/05/2017 11:29