Courses

Please check with the BSE Handbook which mandatory courses you have to choose in your PhD track. Not all courses listed here can be approved as Core Courses for all BSE PhD tracks.

Instructor:
Tuesday,
08:30am to 10:00am
at HU Berlin, Spandauer Str. 1, Room 202
Tuesday,
02:00pm to 04:00pm
at HU Berlin, Spandauer Str. 1, Room 22
Description:

Information on how to attend the online course will be available on Moodle.

This course provides a rigorous review of basic linear regression and techniques both for cross-sectional and panel applications. The course then covers further topics which are important in applied econometric analysis based on individual level data and longitudinal data. The topics include diff-in-diff-event-study designs, IV with heterogeneous potential outcomes, clustering and serial correlation in standard errors in panels, bandwidth and kernel choices in RDD, synthetic controls, selected topics of spatial econometrics (measures of spatial concentration and autocorrelation, estimation of causal effects over space, point pattern analysis), quantile regression methods, and simulation. The course will regularly discuss the causal interpretation of econometric estimates. The focus of the course is both on understanding the methodological concepts and on how to apply them. Students will learn to implement the estimation methods using the econometric package Stata. Besides a number of journal articles, two textbooks will be useful as readings alongside the course: Wooldridge's textbook on “Econometric Analysis of Cross Section and Panel Data”, and Angrist and Pischkes "Mosly Harmless Econometrics".

Literature:
Wooldridge, J. M. (2010): Econometric Analysis of Cross Section and Panel Data. 2nd edition, Cambridge, MA: MIT Press (see also http://mitpress.mit.edu/books/econometric-analysis-cross-section-and-panel-data).
Angrist, J. and Pischke, J-S (2009): Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press.
Further reading recommendations you will get during the lecture.

Exam:
written exam (90 min)

Credits:
9.00
Click here to get more information or to sign up
Instructor:
Monday,
08:00am to 12:00pm
at HU Berlin, Dorotheenstraße 1, Room 4.05
Description:

Information on how to attend the online course will be available on Moodle.

This course covers the main areas in finance: corporate finance, financial intermediation, asset pricing, and investments.

Prerequisite:
Microeconomics I (PhD); knowledge of: choice under uncertainty, moral hazard, adverse selection, signalling, basic matrix algebra, panel data econometrics

Evaluation:
Final exam and presentation (PhD students only)

Literature:
Jean Tirole, “The Theory of Corporate Finance”, (2006), Princeton University Press John Cochrane, "Asset Pricing", Princeton University Press, 2nd Edition

Credits:
9.00
Click here to get more information or to sign up
Instructor:
Wednesday,
08:30am to 12:00pm
at FU Berlin, Garystr. 21, Lecture Hall 108a
Wednesday,
08:30am to 12:00pm
at TU Berlin, Main Building, Straße des 17. Juni 135, Lecture Hall t.b.a.
Description:

Lectures by M. Trabandt (from April 15 to May 27):

Please contact Mathias Trabandt via email if you would like to attend his online course. He will provide more information on how to attend.

Advanced macroeconomics, search and matching labor markets, model solution and estimation techniques.
More information will be provided in March 2020 at https://www.wiwiss.fu-berlin.de/en/fachbereich/vwl/trabandt/Teaching-Prof_-Trabandt/Current-Semester/Teaching-by-Prof_-Trabandt/index.html
Venue: Freie Universität Berlin, Lecture Hall 108a, Garystr. 21, 14195 Berlin

Lectures by F. Heinemann (from June 3 to July 15):

Information on how to attend the online course will be available on F. Heinemann's website at TU Berlin

This part of the course covers topics such as growth, determinacy of the price level, bubbles, equilibrium multiplicity, strategic uncertainty, and current limits of DSGE models.
More information will be provided at http://www.macroeconomics.tu-berlin.de/menue/teaching_lehre/adv_macroeconomics_ii/
Venue: TU Berlin, Main Building, Straße des 17. Juni 135, Lecture Hall t.b.a.

Literature: will be announced during the lectures

Exam: midterm and final exam

Credits:
9.00
Click here to get more information or to sign up
Instructor:
Monday,
12:00pm to 04:00pm
at HU Berlin, Spandauer Str. 1, Room 203
Thursday,
12:00pm to 02:00pm
at HU Berlin, Spandauer Str. 1, Room 203
Description:

Information on how to attend the online course will be available on Moodle.

The intention of the course is to familiarize students with the standard tool of modern economic theory and to train them in applying these tools to actual economic problems. It is particularly devoted to market failures and welfare economics. The first part (Part III in MWG) outlines properties of competetive markets and welfare analysis in a partial equilibrium context. It then focuses on the three classical contidions under which market outcomes lead to an inefficient allocation of resources: externalities, imperfect competition and asymmetric information. The second part (Part V in MWG) addresses fundamental issues of welfare economics from the perspective of a policy maker who desingns and implements collective decisions. It focuses in particular on social choice theory, the foundations of bargaining and welfare economics, and mechanism design. The course addresses these issue both from a positive and normative perspective.

Literature:
Mas-Colell, Whinston, and Green (1995), Microeconomic Theory (MWG), Part III and Part V

Venue:
HU Berlin, Spandauer Str. 1, Room 203 with the following exceptions:
22.06.: ESMT, Room ‚Schloss Gracht‘ (Ground floor)
29.06.: ESMT, Room 0.35 in the Admin Building (use entrance Breite Str. 1)
02.07.: ESMT, Room ‘Garden View’ (First floor)
06.07.: ESMT, Room ‚Schloss Gracht‘ (Ground floor)

Exam:
written exam (90 min)

Credits:
9.00
Click here to get more information or to sign up
Instructor:
Thursday,
09:00am to 12:00pm
at ESMT, Schlossplatz 1
Description:

This course will be offered online using Zoom. The link to join the Zoom sessions will be sent by email to all students who registered for this course.

Part 1:

Instructor: Eric Quintane
Topic: Networks and organizations I: Introduction to core concepts and methods used to understand networks in organizations

Part 2:

Instructor: Stefan Wagner
Topic: Innovation, intellectual property rights and the market for technology

Part 3:

Instructor: Matthew Bothner (guest instructor: Chengwei Liu)
Topic: Networks and organizations II: Further topics in network analysis, including semantic networks, strategic network formation, and Bonacich centrality

 

Please see attached schedule and syllabus for the course.

Credits:
9.00
Click here to get more information or to sign up
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