Econometrics
Syllabus, Bachelor's level, 2ST092
- Code
- 2ST092
- Education cycle
- First cycle
- Main field(s) of study and in-depth level
- Statistics G1F
- Grading system
- Fail (U), Pass (G), Pass with distinction (VG)
- Finalised by
- The Faculty Board of Social Sciences, 31 May 2007
- Responsible department
- Department of Statistics
Entry requirements
Statistics, 30 credits points or equivalent
Learning outcomes
A student that has completed the course should
� have deeper knowledge of statistical theory and methodology particularly in economical and social science applications
� be able to estimate models for cross-sectional data and time series data
� be able to interpret the results of an implemented model adaptation
� be aware of limitations and common sources of errors in the analysis
� have ability to present results in oral and written form.
Content
General about econometric models and their application within economic planning. Linear-regression models with one or several explanatory variables. Nonlinear models. Estimation and hypothesis testing. Gauss-Markovs Nonlinear theorem. Heteroscedasticity and autocorrelation. Multicollinearity. Measurement errors. Instrumental variables. Dummy variables. Models with a dichotomous variable as dependent variable: LPM - and the Logit-model. Simultaneous equation models: the simultanity bias, identification. The two-stage least square method.
Instruction
Lectures 6-10 hours a week.
Assessment
The examination comprises a written test at the end of the course and compulsory assignments, (laboratory sessions). Three grades are awarded for the course: not passed, passed, and passed with distinction.