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Quantitative data analysis and applied statistics, March 2009

Faculty
Professor Keld Laursen (CBS), Associate Professor Toke Reichstein (CBS), Assistant Professor Francesco Rullani (CBS)
Course Coordinator
Professor Keld Laursen (CBS)
Prerequisite/progression of the course
The course requires basic qualifications in statistics, but it does not require knowledge of Stata language and procedures. Participants can bring their own laptop computer with Stata software installed, but CBS computer facilities have been booked.
Course content, structure and teaching
1. To provide basic tools for data analysis, i.e. for inspection, control and organisation of data, and
classification of categories of variables
2. To construct and understand descriptive statistics and correlates (of the standard journal article type)
3. To use and apply standard regression models - inclusive of logistic regression. The programming language and procedures to be used are Stata Software.
Topic One is typically not taught in standard courses in statistics, and Topic Two should be seen as a mandatory package of statistical measures and not just as various alternative measures. Topic Three is an introduction to regression models and techniques only: in-depth treatment of a series of multivariate analyses would require a lengthy course and details might be irrelevant for specific projects; deeper insight into particular analyses should be part of supervision of individual PhD projects and/or obtained through specialised courses. Types of more advanced analyses will be indicated through a short overview. Exercises are included, throughout the course, using Stata software on a specific dataset.
Course literature
  • Hamilton, Lawrence C., 2006, Statistics with Stata, Brooks/Cole, Belmont, CA
  • Woldridge, Jeffrey M., 2009, Introductory Econometrics – A Modren Approach, International Student Editions, South Western.
Enrolment
Course date:
24-27 March, 2009
Time:
09:00-12:00 and 13:00-17:00
Place:
Copenhagen Business School
Address:
Copenhagen Business School
Solbjerg Plads 3,
2000 Frederiksberg
Room:
Solbjerg Plads: SP108
ECTS: 3
Fee:
4000 DKK (app. €540)
Not to be paid by PhD students enroled at a Danish University
Language:
English
Participants max:
Not more than 16
Enrolment deadline:
27 February, 2009
Applications to:
Victoria Hein
phd-courses.ino@cbs.dk
State your name, email, department and university
Contact information:
mail: phd-courses.ino@cbs.dk

Sidst opdateret af Victoria Hein 03.03.2009