|Teaching method||Contact hours|
|Course coordinator(s)||dr. ir. C Gardebroek|
|Lecturer(s)||dr. ir. C Gardebroek|
|dr. X Rao|
|Examiner(s)||dr. ir. C Gardebroek|
Language of instruction:
Assumed knowledge on:
AEP-21306 Econometrics or equivalent.
This course provides a basis for doing econometric analyses independently. Besides lectures on various econometric techniques, students learn when and how to apply these techniques during intensive practical sessions. Subjects that are covered include: linear regression models; misspecification; heteroskedasticity and autocorrelation; endogeneity, instrumental variables and Generalized Method of Moments; Maximum Likelihood estimation and specification tests; models with limited dependent variables; univariate and multivariate time series modelling; panel data estimation.
After successful completion of this course students are expected to be able to:
- explain important problems and solutions in econometric theory;
- apply correct econometric estimation techniques given the structure of the data and the theoretical model;
- evaluate econometric analyses performed by others;
- propose improvements for performed econometric analyses;
- construct economic models and estimate them using appropriate econometric techniques.
- attending lectures and practical sessions and studying the material; - carrying out assignments in pairs using the software package Stata.
- six weekly assignments (50%)
- written exam with 24 closed questions and 4 open questions (50%).
To pass a minimum mark of 5.5 for the written exam is required.
Verbeek, M. (2012). A guide to modern econometrics. Wiley. 4th ed. 514p. ISBN-10: 1119951674.
|Restricted Optional for:||MME||Management, Economics and Consumer Studies||MSc||6MO|
|MID||International Development Studies||MSc||6MO|