Non and Semi-Parametric Econometrics



Lecture/Practicals

Instructors: Anja Schindler
Oleg Nenadić (resp.)
Time: Thursdays, 12 - 14
Venue: MZG 5.111
Sundry: Credits: 6 CP (Master/PhD)
The course language is English.


Course Overview


  • Kernel Density Estimation:
      - Density functions
      - Kernel density estimation: Kernels and bandwidth
      - Properties of kernel estimators
      - Bandwidth selection

  • Kernel regression:
      - Least squares and weighted least squares
      - Local linear/polynomial regression
      - Bandwidth selection

  • Alternative Approaches



Further Information





Updated: March 23 2012