# MET 1333 Econometrics

MET 1333 Econometrics

Responsible for the course
Jon H. Fiva

Department
Department of Economics

Term
According to study plan

ECTS Credits
7,5

Language of instruction
Norwegian

Introduction
This course offers an introduction to econometrics. Econometrics uses statistical methods to quantify economic relationships. These methods are used both in business and economics, as well as in other social sciences.

Learning outcome
Acquired knowledge
After having completed this course you should be able to explain how regression analysis is used to quantify economic relationships. You should be able to explain under what circumstances empirical analysis may be given a causal interpretation. You should be able to interpret empirical analysis critically.

Acquired skills
You should acquire the relevant skills to be able to use regression analysis to quantify causal relationships. You should be able to discuss different modelling strategies useful for prediction and policy analysis. In addition to linear regression methods, you should also understand non-linear regression functions (such as log specifications), regression with panel data (combined cross sectional and time series data), non-linear probability methods (probit and logit), and methods for isolation variation in explanatory variables that are independent from the error term.

Reflection
The course provides you with critical thinking skills relevant for discussing assumptions that least square techniques build on. You should be able to use models and methods relevant for the data you have available and be able to discuss critically whether the assumptions imposed hold in practice.

Prerequisites
MET 1180 Mathematics, MET 1190 Statistcs or equivalent.

Books:
Stock, James H., Mark W. Watson. 2012. Introduction to econometrics. 3rd ed. Pearson. kapittel 1, 4 - 13. Vedleggene er ikke pensum

Books:
Midtbø, Tor. 2012. Stata : en entusiastisk innføring. Universitetsforlaget

Course outline

1. Simple linear regression
2. Multiple linear regression
3. Non-linear regression functions
4. Internal and external validity
5. Regressions using panel data
6. Probit and logit regressions
7. Regressions with instrumental variables
8. Experiments and quasi-experiments

Computer-based tools
STATA

The course consists of 36 hours of lectures and 6 hours of problem-solving.

Coursework requirements
During the course seven (7) assignments will be set through It’s Learning. Students need to pass five (5) of these to be able to sit for the exam. Feedback on the assignments will be provided electronically and in class. More information, concerning deadlines etc. will be provided at the beginning of the semester.

Recommended use of time
 Activity Hours Lectures 36 Assignment-solving in classroom 6 Reading literature and preparation for lectures 100 Assignment-solving 53 Examination 5 Total recommended use of hours 200

Coursework requirements
At the beginning of the semester, 7 coursework requirements will be given. At least 5 of these must be approved before the students can take the examination at the end of the course.

Examination
A five-hours individually written examination concludes the course.

Examination code(s)
MET 13331 - Written examination, counts 100% towards the final grade in MET 1333 Econometrics, 7.5 ects.

Examination support materials
BI-defined exam calculatoris allowded at the written exam. TEXAS INSTRUMENTS BA II Plus™