2010/2011 KAN-AEF_AE58 Applied Econometrics
English Title | |
Applied Econometrics |
Course Information | |
Language | English |
Point | 7,5 ECTS (225 SAT) |
Type | Mandatory |
Level | Full Degree Master |
Duration | One Semester |
Course Period |
Autumn
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Time Table | Please see course schedule at e-Campus |
Study Board |
Study Board for MSc in Economics and Business Administration |
Course Coordinator | |
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Main Category of the Course | |
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Last updated on 29 maj 2012 |
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: Demonstrate knowledge of the concepts, models, methods and tools of econometrics as discussed during the course (when to apply what and why). Perform a fairly simple econometric analysis in practice. This implies being able to: Identify the problem and phrase the purpose of the analysis. Formulate the theoretical background for solving the problem. Specify a suitable econometric model including the assumptions of the model. Estimate the model using an appropriate method. 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 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). Conclude upon the analysis. Evaluate an empirical study conducted by another person/researcher. Read and interprete output from the SAS computer programme. | |||||||||
Examination | |||||||||
Applied Econometrics | |||||||||
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Examination | |||||||||
Prerequisites for Attending the Exam | |||||||||
Course Content | |||||||||
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. | |||||||||
Teaching Methods | |||||||||
Lectures with PC-based exercises. | |||||||||
Literature | |||||||||
Gujarati, D.N. (2003). Basic Econometrics, 5th ed. McGraw-Hill (or latest edition on the market, please check the Syllabus) |