CANCELLED - Topics in Econometrics



777079

Course
CANCELLED - Topics in Econometrics
Faculty
Professor Ralf A. Wilke
Course Coordinator
Ralf A. Wilke
Prerequisites
The course bases on the PhD level course “Advanced Econometrics” at CBS but is also open to PhD students who have the equivalent knowledge in econometrics of an M.Sc. in Economics or Econometrics or in business administration with a strong quantitative background. Knowledge of the estimation of and inference for the multiple regression model (OLS, 2SLS, LPM, F-,t-,LR-,Wald-, LM-tests), linear panel data models, maximum likelihood estimation, regression with limited dependent variable, matrix algebra, basic concepts of asymptotic theory (consistency and asymptotic normality) is required. The course will run on 3 days in the Spring Semester 2016 with 6 hours per day (4 hours lecture and 2 hours computer sessions).
Aim
After the course, students shall be able to: • demonstrate knowledge of the concepts, models, methods and tools of econometrics as discussed during the course (when to apply what and why) , • read and understand international research papers that develop or employ econometric methods, • perform an econometric analysis including identification of the problem, formulation of the theoretical background, specification of a suitable econometric model, proper estimation of the model , and relevant hypothesis testing and inference, • and to evaluate an empirical study conducted by another person/researcher.
Course content
Designed for PhD students in Economics and related disciplines who want to deepen their understanding of econometrics and widen their statistical methods repertoire for their thesis and later career. The material is useful for students doing empirical work, research on Econometrics or both. The course covers econometric methods for cross section and panel data. Topics are illustrated in lectures by empirical examples and sample Stata sample code is made available. Students will be offered the opportunity to deepen their understanding of the material during a number of computer classes. The course is centered around topics which should be of interest to a wider audience, rather than focusing on very specialized topics. Knowledge of Stata is required. Topics covered by the course include: • Sample Selection Models • Advanced Topics in Limited dependent variable models Type II Tobit models Heteroscedasticity Panel data models • Measurement error models Classical measurement error Non-classical measurement error Missing values • Topics in partial identification A final list of topics will be given during the lectures.
Teaching style
Lectures and computer-based exercise classes. Students need to bring their own laptop. Software: STATA licenses are available for CBS students. Students from other universities need to have their own license
Lecture plan
The course comprises of 18 contact hours which are on 3 days (16-17 March and 7 April 2016) with 6 hours each between 9:00-12:00 and 13:30 and 16:30
Learning objectives
N/A
Exam
Extended essay (up to 10 pages) and presentation (20 minutes+ 10 minutes discussion) on a topic related to the course content. The topic is chosen by the student and needs approval by the lecturer. Grading scale: 7-step scale
Other

Start date
16/03/2016
End date
07/04/2016
Level
PhD
ECTS
3
Language
English
Course Literature
This is indicative:• Lecture Notes• Jeffrey Wooldridge (2010), Econometric Analysis of Cross Section and Panel Data, 2nd edition, MIT Press: Cambridge, Mass.• A.Colin Cameron, Pravon Trivedi (2005), Microeconometrics: Methods and Applications, Cambridge University Press.• Academic journal articles on topics taught in the course.
Fee
3,900
Minimum number of participants
10

Maximum number of participants
12
Location
Copenhagen Business School Department of Economics Porcelænshaven 16 A, Room PH2.80 Frederiksberg, Denmark
Contact information
Bente S. Ramovic Email bsr.research@cbs.dk Tel: +45 3815 3138
Registration deadline
15/02/2016