Course syllabus

# Ekonometri

Econometrics

## EXTG65, 7,5 credits, G2 (First Cycle)

## General Information

## Aim

## Learning outcomes

## Contents

## Examination details

## Admission

Admission requirements:
## Reading list

## Contact and other information

Econometrics

Valid for: 2020/21

Decided by: PLED I

Date of Decision: 2020-04-03

Elective for: I4

Language of instruction: The course will be given in Swedish

The aim of the course is to introduce basic econometric theory and to provide the students with the ability to apply basic econometric methods.

Knowledge and understanding

For a passing grade the student must

- be able to collect and analyse data,
- be able to explain how relations among economic variables can be analysed using statistical regression analysis,
- be able to describe the parts of regression analysis,
- be able to derive and formulate testable economic hypotheses,
- be able to interpret the results of the regression analysis from a statistical and economic perspective,
- have some knowledge of some more advanced econometric methods,
- be able to generalize the knowledge to economic problems that are not treated in the course,
- be able to understand relevant empirical and economic research.

Competences and skills

For a passing grade the student must

be able to independently:

- apply the tools of regression analysis on various economic problems,
- test economic hypotheses,
- evaluate the plausibility of the assumptions of the regression model,
- implement the regression analysis using econometric software.

Judgement and approach

For a passing grade the student must

be able to pursue further studies in the subject area and be able to seek and evaluate information with a high degree of independence. The student shall also develop the ability to independently write an empirically oriented paper.

This course starts with an introduction to descriptive statistics, probability theory and inference. Thereafter, the course treats problems connected with establishing and quantifying the relationship between different economics variables as well as basic econometric methodology. The main focus is statistical regression analysis, but more advanced methods in, for example, time series analysis are also considered. Another important part of the course is the practical applications in the form of computer exercises, using applications in microeconomics, macroeconomics and financial economics. The computer exercises are carried out using econometric software on a PC.

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)

Assessment: There is a written exam at the end of the course and computer exercises during the course. Credits from the computer exercises only count during the same term as the exercises were carried out. There may be other methods of examination.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

The number of participants is limited to: No

The course overlaps following course/s: NEKB23, NEKB26, NEKG31, TEK190

- Dougherty, Chrsitopher: Introduction to Econometrics, femte upplagan. Oxford University Press, 2016.
- Supplementary material.
- One of these three softwares: EViews 8/EViews 9.5 Student version, Stata or Gretl.

Course coordinator: Peter Jochumzen, peter.jochumzen@nek.lu.se

Course homepage: http://www.nek.lu.se

Further information: Corresponds to NEKG31.