| CODE | ECN5033 | ||||||
| TITLE | Advanced Applied Econometrics | ||||||
| UM LEVEL | 05 - Postgraduate Modular Diploma or Degree Course | ||||||
| MQF LEVEL | Not Applicable | ||||||
| ECTS CREDITS | 6 | ||||||
| DEPARTMENT | Economics | ||||||
| DESCRIPTION | The study-unit introduces advanced tools used in modern applied econometrics. Topics covered include applications of the concepts of theoretical concepts such as mis-specification issues in the classical regression model, spurious regression, time series analysis of data, Maximum Likelihood methods, time series integration and co-integration, ARIMA models, Vector Autogressive models, Error-Correction models and Panel Data techniques, with special reference to the Maltese Economy. Problems and exercises are solved using software packages such as EVIEWS, MICROFIT and EXCEL. The study-unit material will be essential for any student who wishes to study current empirical work in for instance microeconomics and macroeconomics. The material will provide a foundation for applied research in economics. The study-unit focuses on the most recent developments in time series applications to econometric analysis, referring students to the latest literature in the subject area. Reading List - Pindyck, L. and Rubinfeld, S. (1998), Econometric Models and Econometric Forecasts. McGraw Hill - Hamilton, J.D. Time Series Analysis: Princeton University - Greene, W., Econometric Analysis. UK: Collier Macmillan |
||||||
| STUDY-UNIT TYPE | Lecture | ||||||
| METHOD OF ASSESSMENT |
|
||||||
| LECTURER/S | |||||||
|
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2025/6. It may be subject to change in subsequent years. |
|||||||