Course: Applied Econometrics (Exercises) (4902-412)

Persons:

• Dr. Kirsten Boysen-Urban (verantwortlich)

Type of Course:

exercise

In-Class Hours Per Week:

2

Contents:

This is the description for the practical class which accompanies the lecture “Introductory Econometrics”.

The aim of the lecture together with the practical class is to make students acquainted with econometric techniques frequently used in applied economic research. It provides a modern treatment of methods and models suitable for the analysis of cross-section, time series and panel data.

The aim of the weekly practical class is to repeat important concepts discussed in the lecture and demonstrate their practical application using real world data sets with the help of STATA, a statistical software package. STATA is a commercial software which is available in all PC labs of the university.

After successfully attending this module, consisting of the lectures "Introductory Econometrics" and the "Applied Econometrics" practical classes, students are expected to be able to select a proper statistical method for investigating an economic problem and to meaningfully interpret the results obtained by using a statistical software package.

For this module you must have a solid background in statistics and a good understanding of microeconomics. Successfully completed courses in both of the subjects at the undergraduate level are essential and assumed.

Literature:

Stock, J.H. and Watson, M.M. (2012) Introduction to Econometrics, Pearson (3rd ed.)

Asteriou, D. and Hall, S.G. (2007) Applied Econometrics, Palgrave (rev. ed.)

Kmenta, J. (1986) Elements of Econometrics, MacMillan (2nd ed.)

Verbeek, M. (2012) A Guide to Modern Econometrics, Wiley (4th ed.)

Wooldridge, J. (2013) Introductory Econometrics. A Modern Approach, Cengage Learning (4th ed.)

Location:

Hohenheim

Remarks:

Lectures in classroom and computer lab, computer exercises, discussion of recent empirical articles.

Module:

• 4902-410 Applied Econometrics (compulsory)

eLearning:

Course in ILIAS