Syllabus
I. Course description:
The lecture covers important estimation and inference techniques for cross-sectional data and introduces into the use of the econometric software packages Gretl and Stata.
II. Prerequisities:
The course assumes knowledge of the topics taught in the statistics and mathematics courses of the Bachelor program.
II. Method of Assessment:
Written exam.
Credit Points: 5
III. Outline:
1. Linear Models:
1.1 The Single-Equation Model and OLS Estimation
1.2 Instrumental Variables Estimation of Single-Equation Models
1.3 Additional Single-Equation Topics
1.4 The SUR model
1.5 The Simultaneous Equations Model
2. Nonlinear Models:
2.1 M-Estimation
2.2 Maximum Likelihood Estimation
2.3 Generalized Method of Moments Estimation
IV. Literature:
- Textbook: Jeffrey M. Wooldridge (2010), Econometric Analysis of Cross Section and Panel Data. MIT Press.