777074

Professor Ralf A. Wilke

This course has run in Spring 2015 for the first time and has been a great success:
• The average feedback score for the course was 4.5 out of 5.
• The teacher’s performance has been rated 4.9 out of 5.
• 90% of the participants found the course useful for their PhD project and recommend other students to do the course.
• Participants found it particularly useful that sample Stata code is provided and a number of empirical problems are studied.

Estimation of and Inference for the multiple regression model (OLS, 2SLS, LPM, F-,t-,LR-,Wald-, LM-tests), Maximum Likelihood Estimation, Regression with Binary Dependent Variable, Matrix Algebra, Basic concepts of asymptotic theory (consistency and asymptotic normality). The course is compulsory for the PhD students of Copenhagen Business School’s Department of Economics, but also open to other PhD students who have the equivalent knowledge in econometrics of an M.Sc. in Economics or Econometrics.

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.

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 general econometric methods and methods for cross section 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. An introduction to Stata will be provided.

Topics covered by the course include:

General Econometrics:
• Nonparametric Density and Regression, Semiparametric Regression
• Quantile Regression
• Resampling techniques

Cross Section Econometrics:
• Limited Dependent Variable models (Multiple Responses, Continuous Dependent Variables)
• Policy Analysis (Regression Based, Matching)
• Decomposition Methods (Mean, Distribution)
• Duration Models (Single and Competing Risks)

A final list of topics will be given during the lectures.

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.

The course will run on 7 days in the Spring Semester 2016 with 6 hours per day
(4 hours lecture and 2 hours computer sessions).

Teaching hours:

The class includes 42 contact hours with 6 hours between 9:00-12:00 and 13:30-16:30 on the following dates:
Tuesdays: 9.2., 16.2.
Wednesdays 10.2., 17.2.
Thursdays: 11.2., 18.2., 10.3.

Student presentations will take place on Thursday, 10.3.2016

N/A

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

CBS, Department of Economics, Porcelænshaven 16 A, Room PH2.80, Frederiksberg, Denmark

Bente S. Ramovic
Email: bsr.research
Tel: +45 3815 3138