Courses

Wednesday,
09:00am to 03:30pm
at ESMT, Schloßplatz 1, Room "Garden View"
Thursday,
09:00am to 03:00pm
at HU, Unter den Linden 6, Room 1066e
Description:

The course is already fully booked! No waiting list places are available!

Many economists spend much of their lives in front of a computer, analysing data or simulating economic models. Surprisingly few of them have ever been taught how to do this well. Class exposure to programming languages is most often limited to mastering Stata, Matlab, EViews, etc. just well enough in order to perform simple tasks like running a basic regression. However, these skills do not scale up in a straightforward manner to handle complex projects such as a master's thesis, a research paper, or typical work in government or private business settings. As a result, economists spend their time wrestling with software, instead of doing work, but have no idea how reliable or efficient their programs are.
This course is designed to help fill in this gap. It is aimed at PhD students who expect to write their theses in a field that requires modest to heavy use of computations. Examples include applied microeconomics, econometrics, macroeconomics, computational economics - any field that either involves real-world data; or that does not generally lead to models with simple closed-form solutions.
We will introduce students to programming methods that will substantially reduce their time spent programming while at the same time making their programs more dependable and their results reproducible without extra effort. The course draws extensively on some simple techniques that are the backbone of modern software development, which most economists are simply not aware of. It shows the usefulness of these techniques for a wide variety of economic and econometric applications by means of hands-on examples.

The course will be split in two parts:

First part:
October 31 - November 2, 2018, 9.00am - 12.30pm and 2.00pm - 3.30pm
ESMT, Schloßplatz 1, Room "Garden View"

Second part:
November 29 - 30, 2018, 9.00am - 12.30pm and 2.00pm - 3.30pm
HU, Unter den Linden 6, Room 1066e

Credits:
5.00
Click here to get more information or to sign up
Tuesday,
09:00am to 06:00pm
at tba
Description:

The course will familiarize students with some of the major areas of ongoing research in empirical corporate finance, and it will give you experience evaluating empirical projects. The class will largely be based on articles but we will also discuss econometrical strategies on the fly. I will assume that you are familiar with basic empirical research methods (recommended references are Angrist/Pischke, Mostly Harmless Econometrics, 2009; Roberts/Whited, Endogeneity in Empirical Corporate Finance, 2013).

Lecturer:
Paul P. Momtaz (postdoctoral research fellow at the Hamburg Financial Research Centre & The Anderson School at UCLA)

Time and venue:
February 26 - 28, 2019
Room tba

Exam:
Paper presentations and a short essay

Credits:
3.00
Click here to get more information or to sign up
Thursday,
09:00am to 05:00pm
at University of Potsdam, Campus Griebnitzsee | Building 7, Room 2.41
Description:

This workshop targets students who want to run economic experiments. At the end of the workshop, you will be able to conduct simple experiments, including the programming in z-Tree as well as running a session in practice.

Day 1: Lecture-style teaching: experimental methodology, running a session
Day 2&3: Hands-on programming in z-Tree

Location: University of Potsdam, Campus Griebnitzsee | Building 7, Room 2.41
Time: November 8th-10th, 2018 | 9am-5pm

Graded work:
Programming an experiment and presenting it. Presentations will take place on December 7th, starting at 10am.

Please register by e-mail to lisa.bruttel@uni-potsdam.de until October 31, 2018.

Credits:
3.00
Click here to get more information or to sign up
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