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2013/2014  BA-HA_HU5A  Econometrics

English Title
Econometrics

Course information

Language English
Exam ECTS 7.5 ECTS
Type Elective
Level Bachelor
Duration Summer
Course period Summer
Please check www.cbs.dk/summer for the course schedule.
Time Table Please see course schedule at e-Campus
Study board
Study Board for BSc in Economics and Business Administration
Course coordinator
  • Course instructor - Dmitry Shapiro, UNC Charlotte, Belk College of Business
    Patricia Plackett - Department of Operations Management (OM)
Main academic disciplines
  • Statistics and mathematics
  • Economics, macro economics and managerial economics
Last updated on 22-07-2013
Learning objectives
At the end of the course the student should be able to:
  • Know how to conduct - and how to critique - empirical studies in economics and related fields;
  • Identify the proper econometric technique to apply to a problem;
  • Properly interpret the results of econometric analysis;
  • Perform statistical analysis using Stata.
Course prerequisites
Basic calculus, probability theory and linear algebra (matrices). Basic computer literacy.
Prerequisites for registering for the exam
Compulsory assignments (assessed approved/not approved)
Mandatory Mid-term Assignment: The Mid-term Assignment will be a statistical project that students would need to do using Stata.
Examination
4 hour written exam:
Examination form Written sit-in exam
Individual or group exam Individual
Assignment type Written assignment
Duration 4 hours
Grading scale 7-step scale
Examiner(s) One internal examiner
Exam period Summer Term
Aids allowed to bring to the exam Limited aids, see the list below and the exam plan/guidelines for further information:
  • 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
Econometrics is a sub-discipline of statistics that provides methods for inferring economic structure from data. This course has two goals. The first goal is to give students means to evaluate an econometric analysis critically and logically. Second, students should be able to analyze a data set methodically and comprehensively using the tools of econometrics. Students will be introduced to to multiple regression methods for analyzing data in economics and related disciplines.  Extensions will include regression with discrete random variables, instrumental variables regression, analysis of random experiments and quasi-experiments, and regression with time series data. 
 
The course's development of personal competences:
The course will develop personal competence in conducting statistical and econometric analysis.

Course plan
Module 1: Review of Statistics
Module 2: Bivariate regression; Hypothesis Tests and CI
Module 3: Linear Regression with Multiple Regressors
Module 4: Nonlinear Regression models
Module 5: Assessing Regression models
Module 6: Regression with Panel Data
Module 7: Binary Dependent Variable
Module 8: Instrumental variable regressions
Module 9: Instrumental variables (cont-ed). Time series
Module 10: Time series (cont-ed)
Module 11: Comprehensive review
Teaching methods
Chalk-and-blackboard lectures, PDF slides, class discussion of different economic datasets and ways to attack them.

Preliminary Assignment: To help students get maximum value from ISUP courses, instructors provide a reading or a small number of readings to be read before the start of classes with a related task or tasks in the first two classes in order to 'jump-start' the learning process. The Preliminary Assignment will be to make students to familiarize themselves with statistical software Stata (using the Stata 10 tutorial available at the book companion web-site http:/​/​wps.aw.com/​aw_stock_ie_3/​178/​45691/​11696965.cw/​index.html).
Expected literature
Textbook: Stock and Watson (2010), 'Introduction to Econometrics', 3rd edition. Published by Addison-Wesley. ISBN: 9781408264331. I will cover Chapters from 3 to 15 excluding Chapter 13 (approximately 500 pages)
Last updated on 22-07-2013