MET 3590 Methods and Econometrics

MET 3590 Methods and Econometrics

Course code: 
MET 3590
Department: 
Economics
Credits: 
7.5
Course coordinator: 
Genaro Sucarrat
Product category: 
Bachelor
Portfolio: 
Bachelor of Business Administration - Programme Courses
Semester: 
2018 Spring
Active status: 
Active
Teaching language: 
Norwegian
Course type: 
One semester
Introduction

The course provides an introduction to research methods of the social sciences, and to econometrics

Learning outcomes - Knowledge

After the course, the students will have obtained knowledge about:

  • Important methodological concepts

  • Knowledge of the main approaches (both qualitative and quantitative) to the collection, processing and analysis of data

  • Basic econometrics

  • Possibilities and limitations of econometric tools for business uses (research, quality control, forecasting, logistic analysis and control, etc.)

  • Limitations in cases where the underlying statistical assumptions are violated

  • The plurality of interpretation, and the uncertainty associated with econometric analysis

Learning outcomes - Skills

After the course the students will be able to:

  • Understand and assess analysis and research in relation to scientific principles

  • Evaluate which approaches that best suits a specific research question

  • Collect, process and analyse data on the basis of scientific research methods

  • Conduct econometric analysis by means of modern econometric software

  • Conduct and interpret the results of multiple econometric hypothesis testing, also in the cases where the classical assumptions are not fullfilled

  • Undertake model diagnostics and model selection

Learning Outcome - Reflection

The students should acquire a conscious and critical attitude towards data, towards econometric analysis, and towards the assessment and interpretation of results from applied research

Course content
  • Research methods and the philosophy of science

  • Research questions, hypotheses and types of data

  • Variation in research design, plurality of interpretation and the uncertainty of inference

  • Simple and multiple regression

  • Variation in functional form

  • Regression with qualitative right-hand side variables via dummies

  • Heteroscedasticity

  • Dynamic analysis

  • Model selection

  • Qualitative left-hand side variables

Learning process and requirements to students

The course consists of 42 lecture hours, where the lectures are combined with excercises and the use of econometric software

E-learning
When course is delivered online, lecturer, in cooperation with the Academic Servises Network, will organize an appropriate combination of digital teaching and lectures. Online students are also offered a study guide to contribute to progression and overview. Total recommended time spent for completing the course also applies here.

Software tools
Stata
Additional information

Recommended software: STATA. Alternatively, OxMetrics, EViews, Gretl or R.

Re-sit examination
Students that have not gotten approved the coursework requirements, must re-take the exercises during the next scheduled course.

Students that have not passed the written examination or who wish to improve their grade may re-take the examination in connection with the next scheduled examination.

Qualifications

Higher Education Entrance Qualification

Required prerequisite knowledge

MET 2920 Statistics for economists, MET 3431 Statistics, or the equivalent

Mandatory courseworkCourseworks givenCourseworks requiredComment coursework
Mandatory22As a means towards learning, two obligatory exercises must be solved and handed in during the term within deadlines that are announced before the start. Both obligatory and a pass-grade must be obtained in order to be allowed to do the final exam. Each of the two exercises are made up of two parts, one case-based part that requires the use of statistical software, and one part that is not case-based. The publication, solution and handing in of the exercises is done via the learning management system (currently It's Learning). Feedback is given either via the learning management system and/or lectures.
Mandatory coursework:
Mandatory coursework:Mandatory
Courseworks given:2
Courseworks required:2
Comment coursework:As a means towards learning, two obligatory exercises must be solved and handed in during the term within deadlines that are announced before the start. Both obligatory and a pass-grade must be obtained in order to be allowed to do the final exam. Each of the two exercises are made up of two parts, one case-based part that requires the use of statistical software, and one part that is not case-based. The publication, solution and handing in of the exercises is done via the learning management system (currently It's Learning). Feedback is given either via the learning management system and/or lectures.
Exam categoryWeightInvigilationDurationSupport materialsGroupingComment exam
Exam category:
Submission
Form of assessment:
Structured test
Exam code:
MET35901
Grading scale:
ECTS
Grading rules:
Internal examiner
Resit:
Examination every semester
100Yes3 Hour(s)
  • All printed and handwritten support materials
  • BI-approved exam calculator
  • Simple calculator
Individual A three-hour individual multiple-choice exam concludes the course. The questions on the exam will partially be based on a case that is published two weeks before the exam. The results from the case must be brought to the examination, since the results are needed in order to answer the questions related to the case. However, the results from the case should not be submitted. In addition to questions from case the case, the exam will also include questions from the entire syllabus.
Exams:
Exam category:Submission
Form of assessment:Structured test
Weight:100
Invigilation:Yes
Grouping (size):Individual
Support materials:
  • All printed and handwritten support materials
  • BI-approved exam calculator
  • Simple calculator
Duration:3 Hour(s)
Comment:A three-hour individual multiple-choice exam concludes the course. The questions on the exam will partially be based on a case that is published two weeks before the exam. The results from the case must be brought to the examination, since the results are needed in order to answer the questions related to the case. However, the results from the case should not be submitted. In addition to questions from case the case, the exam will also include questions from the entire syllabus.
Exam code:MET35901
Grading scale:ECTS
Resit:Examination every semester
Exam organisation: 
Ordinary examination
Total weight: 
100
Workload activityDurationType of durationComment student effort
Teaching36Hour(s)
Other in classroom6Hour(s)Instructions on the use of econometric software
Group work / Assignments70Hour(s)
Self study60Hour(s)
Submission(s)15Hour(s)Obligatory exercises
Examination13Hour(s)Exam case and exam
Expected student effort:
Workload activity:Teaching
Duration:36 Hour(s)
Comment:
Workload activity:Other in classroom
Duration:6 Hour(s)
Comment:Instructions on the use of econometric software
Workload activity:Group work / Assignments
Duration:70 Hour(s)
Comment:
Workload activity:Self study
Duration:60 Hour(s)
Comment:
Workload activity:Submission(s)
Duration:15 Hour(s)
Comment:Obligatory exercises
Workload activity:Examination
Duration:13 Hour(s)
Comment:Exam case and exam
Sum workload: 
200

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 7,5 ECTS credit corresponds to a workload of at least 200 hours.

Talis literature

Obligatorisk/Compulsory

Book
Authors/Editors År Tittel Edition Publisher StudentNote
Sucarrat, Genaro 2016 Metode og økonometri: en moderne innføring   Fagbokforl  

Anbefalt/Recommended

Book
Authors/Editors År Tittel Edition Publisher StudentNote
Johannessen, Asbjørn; Tufte, Per Arne; Christoffersen, Line 2011 Forskningsmetode for økonomisk-administrative fag 3. utg Abstrakt forl  
Brooks, Chris 2014 Introductory econometrics for finance 3rd ed Cambridge University Press  
Bårdsen, Gunnar; Nymoen, Ragnar cop. 2011 Innføring i økonometri   Fagbokforl  
Hellevik, Ottar 2002 Forskningsmetode i sosiologi og statsvitenskap 7. utg Universitetsforl  
Wooldridge, Jeffrey M. cop. 2016 Introductory econometrics: a modern approach 6th ed Cengage Learning