Topics in Statistics and Econometrics SS 2018

Lecturer: Prof. Dr. Reyn van Ewijk
ID-Number: 03.897.3280
Contact Time: 4 SWS lecture
Credits: ECTS: 6 ( 3 + 3)
Time/Place of lecture: Wed., 10:00 a.m. - 1:30 p.m. / 00-265 PC-Pool
First Lecture:

Wednesday, May 2nd 2018

Please note that in the first course week there will be a Stata introductory tutorial. These turtorial take place on:

Monday, April 23th from 10:00 - 12:00 am - room RW 4

Monday, April 30th from 6:00 - 8:00 pm - room t.b.a.

You should also prepare a Stata-homework between the two sessions. To assist you we provide an open consultation on April 24th and 25th. More detailed information will be made available via ILIAS and in the first session.

Grade: Written exam

Course Content

This course has two goals:

Students will learn about a number of important topics in the field of health economics. For example:

a. The economics of unhealthy lifestyles such as smoking and obesity: Here we try to answer the question why people do things that are harmful to them. And should the government intervene when people behave unhealthily? And how?

b. The economics of the welfare state: Why do we have pension systems and unemployment insurance? What are reasons for government intervention?

c. The health care system: Why do costs continue to rise in our health care system? How can we manage to limit these cost increases?

2. Students will learn about commonly used econometric methods such as Instrumental Variables and Regression Discontinuities.

There is a close link between the content-related goal and the methods-related goal, as students will learn how these methods are used to answer the content-based questions. Students will read and discuss scientific articles that use econometric techniques in the field of health economics. And students will apply these techniques themselves using the statistical program Stata to answer questions in the field of health economics.

Literature:

  • Stock JH, Watson MM. (2015). Introduction to Econometrics. Updated 3rd edition. Pearson.
  • Scientific articles (will be made available via Ilias)
  • Other literature on econometric methods (will be made available via Ilias)