CODE | ECN2041 | ||||||||||||
TITLE | Econometrics 2 | ||||||||||||
UM LEVEL | 02 - Years 2, 3 in Modular Undergraduate Course | ||||||||||||
MQF LEVEL | 5 | ||||||||||||
ECTS CREDITS | 4 | ||||||||||||
DEPARTMENT | Economics | ||||||||||||
DESCRIPTION | Course Objective: The course builds on the material developed in the first course by looking at regression analysis in practice, especially with regards to remedial measures when the OLS assumptions breakdown. It also exposes the more recent developments in the area, especially with respect to the phenomenon of spurious regression. Indicative list of topics to be covered: - Multicollinearity - Heteroscedasticity - Autocorrelation - Model-Selection - criteria and tests - Dynamic Economic Models - Simultaneous Equation Bias - Spurious Regression - tests of nonstationarity and cointegrated time series Suggested textbooks: - Gujarati, Domadar N. (1990) Essentials of Econometrics McGraw-Hill International Editions - Gujarati, Domadar N. (1998) Basic Econometrics McGraw-Hill International Editions - Pindyck, R.S. and Rubenfeld, D.L. (1981) Econometric Models and Economic Forecasts McGraw-Hill International Editions |
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STUDY-UNIT TYPE | Lecture and Tutorial | ||||||||||||
METHOD OF ASSESSMENT |
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LECTURER/S | Carl Camilleri |
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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 Units not attracting a sufficient number of registrations may be withdrawn without notice.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 2023/4. It may be subject to change in subsequent years. |