Microeconometric models and methods
Dr. Florian Heiss
|Lecture:||Wednesday, 16.00 – 18.30 (s.t.),||Ludwigstr. 28 RG, #025|
|Class:||Thursday, 18.00 – 19.30 (s.t.),||Ludwigstr. 28 RG, CIP-Pool|
The lecture will start in the first week on Wed., April 22.
Graduate (i.e., advanced master and doctoral) students in economics. This course will build on material discussed in Advanced Econometrics, so it is a prerequisite. Students should expect to spend considerable time trying to convince Stata to cooperate. If you don’t like computers and programming, this course is not for you.
The course gives an overview over modern methods in microeconometrics. It opens a few black boxes known from Advanced Econometrics and gives a hands-on introduction to other approaches including their implementation in PC classes. A goal is to enable students to develop and estimate models tailored to the problem at hand instead of having to tailor their model to available software. Topics include classical M-estimation, estimation by simulation and numerical approximation, and non- and semi-parametric methods. The applications discussed in the course have a focus on limited dependent variable models.
A textbook which covers most topics discussed in this course is:
A.C. Cameron and P.K. Trivedi (2005): “Microeconometrics”. Cambridge University Press.
The lecture will try to be compatible in the approach and notation to this book.
Additional references which cover some issues in greater detail will be given in class.
are provided on the password-protected download page.