Economics BA (C), Quantitative methods, 7.5 credits

Aim

The aim of the course is to provide knowledge in elementary econometric methods and, based on econometric models, critically analyze various economic problems and issues.

Course objectives

At the end of this course the student must:

• Have a good knowledge of the specification and estimation of the general linear regression model.

• Analyze deviations from the classical model specification due to the non-experimental application situations such as measurement errors in the variables, autocorrelation, multicollinearity and hetroscedasticity.

• Have knowledge of lagged variables and dummy variables in the regression model.

• Know methods for analyzing cross-sectional data, time series data and panel data.

• Be able to use standard software and analyze practical examples with a software from the scope of econometrics.

Content

The course deals with problems with establishing and quantifying economic relationships as well as basic econometric methods. The course contains practical applications in micro- and macroeconomic theory.

Entry requirements

Economics GR (A), of which Economics BA (A), Micro Economics 15 credits and Economics BA (A), Macro Economics 15 credits; Economics GR (B), of which Economics BA (B), Economic Policy Evaluation 7,5 credits and Statistics BA (A), Introductory Statistics 15 credits.

Selection rules and procedures

The selection process is in accordance with the Higher Education Ordinance and the local order of admission.

Teaching form

The teaching is given in the form of lectures and practical exercises.

Examination form

1000: Home exam, 4 Credits
Grade scale: Seven-grade scale, A-F o Fx

1010: Assignment, 3.5 Credits
Grade scale: Seven-grade scale, A-F o Fx

Grading system

Seven-grade scale, A-F o Fx