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2013/2014  KAN-AEF_AE58  Applied Econometrics

English Title
Applied Econometrics

Course information

Language English
Exam ECTS 7.5 ECTS
Type Mandatory
Level Full Degree Master
Duration One Semester
Course period Autumn
Time Table Please see course schedule at e-Campus
Study board
Study Board for MSc in Economics and Business Administration
Course coordinator
  • Battista Severgnini - Department of Economics (ECON)
  • Chandler Lutz - Department of Economics (ECON)
Main academic disciplines
  • Economics, macro economics and managerial economics
Last updated on 02-07-2013
Learning objectives
The skills developed are valuable and necessary for handling of data and understanding empirical results related to most of the other courses of the concentration.

After this course it is the aim that the students can:
  • Explain the concepts, models, methods and tools of econometrics as discussed during the course.
  • Perform an academically founded econometric analysis on an identified problem in practice.
  • Select, estimate and apply a suitable econometric model, including the assumptions, of the model toward solving a problem founded in practise.
  • Discuss and solve any important problems encountered in relation to the analysis (e.g. heteroscedasticity for a cross-sectional data set)
  • Perform hypotheses testing of both simple and more composite hypotheses
  • Apply the model for the purpose it was constructed for (e.g. testing a theory or making forecasts).
  • Report the results and conclusion of the analysis both if the reader of the report is an econometrician and if the reader is a non-econometrician (e.g. the CEO).
  • Evaluate an empirical study conducted by another person/researcher and read and interpret output from the SAS computer programme.
Applied Econometrics:
Examination form Written sit-in exam
Individual or group exam Individual
Assignment type Written assignment
Duration 6 hours
Grading scale 7-step scale
Examiner(s) One internal examiner
Exam period December/January and February
Aids allowed to bring to the exam Limited aids, see the list below and the exam plan/guidelines for further information:
  • Additional allowed aids
  • Books and compendia brought by the examinee
  • Notes brought by the examinee
  • Allowed calculators
  • Allowed dictionaries
Make-up exam/re-exam
Same examination form as the ordinary exam
If the number of registered candidates for the make-up examination/re-take examination warrants that it may most appropriately be held as an oral examination, the programme office will inform the students that the make-up examination/re-take examination will be held as an oral examination instead.
Course content and structure

Some of the main tools of econometrics that are standard when analyzing data from fields such as industrial organization, economics and finance at the graduate level are introduced. Emphasis will be on analysis of economic data by means of statistical models, i.e. regression models and time series models. Some relevant software will be used in handling data introduced for computer based exercises and illustrations. Integration with the other courses at the line will take place via the selection of material for illustrations and exercises.
Some of the topics covered are:
The simple and multiple regression models and their interpretation.
Basic time series models (ARIMA), identification, estimation, testing and forecasting
Time series econometrics. More advanced topics (e.g. ARCH) only at the introductory level.

Teaching methods
Lectures with PC-based exercises.
Expected literature

James H. Stock and Mark M. Watson (2012), Introduction to Econometrics (3rd international edition); Pearson Education Limited;  ISBN:13  978-1-4082-6433-1 / ISBN10: 1-4084-6433-1


Last updated on 02-07-2013