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:
Friday,
02:00pm to 04:00pm
at HU Berlin, Dorotheenstraße 1, Room 204
Description:

The objective of this course is that students are able to (i) understand and critically evaluate seminal research in accounting and (ii) use these skills to develop an exposé for a research project that has the potential to contribute to extant literature.
The course entails group discussions of seminal papers that identify fundamental questions in accounting research and that use innovative methods to address such questions.

Literature:
Relevant literature will be provided during the term.

Exam:
Grades will be based on (i) active participation during the reading group sessions and (ii) an exposé for a research project.

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Description:

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

The module Advanced Data Analytics for Management Support (ADAMS) introduces students to the latest developments in the scope of data-driven management support. It covers relevant theories and concepts in machine learning against the background of concrete real-world applications in management science. Special emphasize is given to the analysis of textual data and other complex data such as sequences or images. Corresponding data is typically approached using the framework of deep artificial neural networks. The module recognizes the importance of deep learning and elaborates on corresponding methodologies. Frameworks and practices to use advanced (deep) machine learning technology and deploy corresponding solutions are of critical importance.

Topics covered in the module include but are not limited to:

  • Fundamentals of artificial neural networks
  • Recurrent networks for sequential data processing with applications in finance
  • Convolutional neural networks
  • Generative models and adversarial learning
  • Fundamentals of textual data analysis
  • Neural network-based text embeddings: word2vec and cousins
  • Approaches for topic modeling and sentiment analysis
  • A primer in reinforcement learning

The module draws on the concepts and practices covered in Business Analytics & Data Science (BADS). Successful completion of BADS is a prerequisite to take this module.

The module makes use of the Python programming language. Fundamentals of machine learning in Python will be covered in the first weeks of the tutorial sessions. However, students must be prepared to invest a sizeable about of time into self-study to internalize relevant programming skills and gain the experience needed for subsequent tutorials. The grading of the module will be based on a practical assignment, which also involves Python programming.

Exam:

Practical assignment: develop learning model to solve real-world problem and document solution in a term paper

Credits:
6.00
Click here to get more information or to sign up
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:
Monday,
10:00am to 12:00pm
at HU Berlin, Spandauer Str. 1, room 203
Monday,
04:00pm to 06:00pm
at HU Berlin, Spandauer Str. 1, room 203
Description:

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

This course teaches new developments in the field of monetary economics. We start with a refresher on the dynamic New Keynesian model that is center stage in the course "Monetary Economics". We then continue with analyses of indeterminacy and welfare. In each case we will put particular emphasis on the role played by features that make New Keynesian theory attractive from an empirical point of view. We will also develop the techniques that are necessary to work with those concepts. In the second part of the course we will discuss some recent extensions of the New Keynesian model. Examples include models with labor market frictions, open economy models as well as models with financial frictions. Those features are empirically motivated and their presence also has important normative implications, as we are going to see.

Literature:

Galí, Jordi (2015): Monetary Policy, Inflation and the Business Cycle, second edition, Princeton University Press.

Further literature: see Moodle

Exam:

written exam, 90 min

Credits:
6.00
Click here to get more information or to sign up
Friday, 11:30am at HU Berlin, Spandauer Str. 1, room 21a
Description:

Leadership in innovative organizations: What does experimental and behavioural economics teach us about how to “deepen” agile work? In this seminar we will discuss what companies can learn from behavioural and experimental economics about the human resource management. The focus of the seminar will lie on recent trends of modern workplace and workflow arrangements and challenges they may bring for employees productivity (e.g., hyper connectivity, agile work, team work etc.). We will search for and discuss the empirical studies from the lab and the field. By doing so, we will review the key concepts of scientific writing. The participants will develop their own research question and experimental design. An extensive feedback will be provided by the tutor and other seminar participants. The format of this seminar crucially relies on the vivid exchange of ideas and thoughts among its participants in form of discussions and presentations. Therefore, the participants should be motivated to attend all sessions, take an active part in group discussions, and present their ideas in front of the group, and write a seminar paper.

Course times and venue:
17.04.2020: 8:00-12:00, HU Berlin, Spandauer Str. 1, room 21a
30.04.2020: 14:00-18:00, HU Berlin, Spandauer Str. 1, room 21a
29.05.2020: 8:00-12:00, HU Berlin, Spandauer Str. 1, room 21a
05.06.2020: 8:00-12:00, HU Berlin, Spandauer Str. 1, room 21a
19.06.2020: 8:00-12:00, HU Berlin, Spandauer Str. 1, room 21a
26.06.2020: 8:00-12:00, HU Berlin, Spandauer Str. 1, room 21a
17.07.2020: 8:00-12:00, HU Berlin, Spandauer Str. 1, room 21a

Please register with Anastasia Danilov until March 15, 2020, via email to anastasia.danilov@hu-berlin.de.

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Monday,
02:00pm to 04:00pm
at HU Berlin, Spandauer Str. 1, Room 23
Tuesday,
12:00pm to 02:00pm
at HU Berlin, Spandauer Str. 1, room 23
Description:

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

The course aims at providing the basic concepts and methods for analysing panel data. It begins with introducing different static panel models with fixed and random effects, and discusses the problem of estimation in these models. The course covers tests of hypotheses with panel data as well as techniques for serial correlation, heteroscedasticity, simultaneous equations, dynamic models and models for qualitative dependent variables.

In the tutorials the methods are revisited and applied to empirical data using the software STATA.

Literature:
Baltagi, B.H., (2005), Econometric Analysis of Panel Data, 3rd ed., Wiley, New York. Hsiao, C., (2003), Analysis of Panel Data, 2nd ed., Cambridge University Press.
Arellano, M. (2003), Panel Data Econometrics, Oxford: Oxford University Press.

Exam:
written exam (90 min)

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Description:

More information on how to participate in the online course is provided in TU Berlin's ISIS portal. The first lecture will be on April 21. The time slots for lectures and sessions remain as scheduled.

The course will provide an introduction to the core concepts of auction theory. The learning experience will be enriched with case studies from auctions in the lab and in the field. Successful participants can solve optimal-bidding problems in standard auction forms, using advanced mathematical techniques. They first model the informational environment in a given application, using probability theory, and, second, use optimization theory to find optimal bidding strategies. Insights from mechanism design will enable them to design and solve novel auction formats. They learn to model both roles in seller-buyer environments.

Optimal bidding in single-unit auctions with symmetric independent private values: First-price auctions, second-price auctions, all-pay auctions; the revenue-equivalence theorem; risk-averse bidders; asymmetric bidders; optimal auctions and mechanism design; interdependent values, multi-unit auctions. 

Exam:

There will be a 90-minutes exam at the end of the course that students need to pass. In addition, PhD students are required to either write a short term paper presenting an own research idea that is related to the topic of the course or present in class a recent (working/discussion) paper related to the course. In the presentation, the paper’s contribution to the literature has to be evaluated critically. The course will be successfully completed if the exam and the term paper/presentation are each graded with 4.0 or better. The final grade for the course will be the average of the two grades.

Literature:

The class is mainly based on Vijay Krishna - Auction Theory, Academic Press, 2009

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Monday,
04:00pm to 05:15pm
at HU Berlin, Spandauer Str. 1, room 22
Description:

The Berlin Applied Micro Seminar (BAMS) is a weekly seminar, jointly organized by DIW Berlin, Hertie School of Governance, HU Berlin, WZB, the Berlin Centre for Consumer Policies (BCCP) and the SFB TRR 190.

Literature:
none

Criteria to award ECTS:
none

Click here to get more information or to sign up
Instructor:
Thursday,
03:00pm to 06:00pm
at WZB, Reichpietschufer 50, room B001
Description:

The Berlin Behavioral Economics Colloquium and Seminar are a joint effort between DIW, WZB, HU Berlin and TU Berlin (in cooperation with CRC TRR 190) with the aim of fostering the exchange between active researchers in the areas of behavioral and experimental economics.

The 2020 summer semester series will be held at WZB, Reichpietschufer 50, 10785 Berlin, room B001, on Thursdays from 3:00-4:15 pm and 4:45-6:00 pm unless otherwise stated.

Click here to get more information or to sign up
Instructor:
Description:

More information on a potential online format of the seminar will be announced on Moodle.

This is the Berlin-wide micro theory seminar where outward guest presents their current research.

Requirements for credits:
documented attendance (no grade)

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Wednesday,
12:30pm to 02:00pm
at HU Berlin, Spandauer Str. 1, room 23
Description:

Ongoing research of graduate students in the field of labor market and macro economy is presented and discussed.

Credits:
4.00
Click here to get more information or to sign up
Instructor:
Monday,
10:00am to 11:30am
at DIW Berlin, Mohrenstraße 58, Karl Popper Room
Description:

Researchers face the challenge to translate their academic results to policy makers and to the public. Often the results are derived using complex models, which are based on strong assumptions. Therefore, it is necessary to develop methods and skills, which allow to explain the models and the assumptions to policy makers and to the public and to derive results and policy conclusions based on the models. This course provides an introduction to communication of academic research to the public and to evidence based policy consulting.

More information can be found in the attached syllabus.

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Wednesday,
09:00am to 11:00am
at FU Berlin, Garystr. 21, lecture hall 107
Wednesday,
11:00am to 12:30pm
at FU Berlin, Garystr. 21, lecture hall 107
Description:

Information on how to attend the online course will be available on FU's Blackboard. Please email Elena Ziege to get access. The first lecture will be held via Webex on April 22, 9:15 am.

In the first part of the lecture, microeconomically based theoretical and empirical approaches to the economics of education are discussed. In a second part, education economics approaches along the different educational sectors from early childhood to continuing education are discussed. Current empirically based research papers from the individual educational sectors will be presented and discussed.

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Thursday,
12:00pm to 02:00pm
at HU Berlin, Spandauer Str. 1, Room 125
Tuesday,
02:00pm to 04:00pm
at HU Berlin, Spandauer Str. 1, Room 125
Description:

The course deals with the economic development of Europe from the beginning of the First World War up to the current situation from a historical perspective. Key topics include the economics of the two wars, European hyperinflations, the great depression, the bloc-wise economic integration in Western and Eastern Europe, the Golden Age of Growth, the economics of stagflation, global integration and global imbalances in a long-run perspective.

Literature:
Stephen Broadberry, and Kevin H O'Rourke (eds) (2010) "The Cambridge Economic History of Modern Europe" , Vol 2: 1870 to the Present, Cambridge.

Exam:
written exam (90 min)

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Tuesday,
04:00pm to 06:00pm
at HU Berlin, Spandauer Str. 1, Room 23
Description:

Registered students will be informed by the lecturers on how to attend the online course.

This seminar focuses on recent developments in experimental economics. Each weak, students critically discuss one recent paper, with an emphasis on the experimental design and data analysis. A major objective of the course is for students to develop a great deal of familiarity with the design of experiments as a method for economic research. Participants are expected to attend all sessions and participate actively in the discussions.

It is recommended that participants are familiar with fundamental concepts of causal inference and data analysis.

To obtain course credits, students have to submit 3 one-pagers (not graded) and write a final referee report (ca. 10.000 characters).

Course registration is open from 5.3.2020-5.4.2020. To register, students should send an email to Dr. Jana Friedrichsen (jana.friedrichsen@hu-berlin.de) and Dr. Lea Heursen (lea.heursen@hu-berlin.de). In this email, students should write a short paragraph, describing what motivates them to take this seminar. If more than 20 students would like to take this seminar for credit, a lottery will determine the seats.

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Monday,
12:00pm to 02:00pm
at HU Berlin, Dorotheenstr. 1, Room 4.05
Description:

Discussion of research papers.

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Description:

The Finance-Accounting Research Seminar is a joint initiative of Humboldt-Universität, ESMT, and the TRR 266 Accounting for Transparency, and provides a forum to discuss current research in the areas of finance and accounting. External guests are welcome. For the current seminar schedule click here.

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

The objective of the “Financial Accounting Research Group” (FARG) is to introduce select students to current research in financial accounting. Participants of the FARG will learn the necessary skills to understand conceptual underpinnings and common empirical design choices in this area of research.

The FARG is organized around the Finance-Accounting Research Seminar that provides a forum for invited guest speakers to present current research papers. Participants of the FARG are welcome to attend the accounting talks of this seminar and expected to join internal discussion meetings of our institute in preparation of these talks. There are usually three accounting talks and three preparatory discussion meetings per semester. For details on the schedules of current and past semesters, please see here: https://www.wiwi.hu-berlin.de/en/professuren/bwl/finance/seminars

Master students can obtain 6 ECTS by (i) participating in the FARG for at least two semesters and (ii) writing three reviews (or two reviews and a discussion protocol) on papers that are presented by our guest speakers. Bachelor students cannot obtain ECTS through the FARG, but they are very welcome to join our talks and discussion meetings for inspiration. Students who participated in the FARG for at least two semesters will receive a certificate that confirms their participation.

Enrolment into the FARG is possible at the beginning of each semester. Details on the application procedure will be announced in early April (summer term) and early October (winter term) via the website of our institute.

Credits:
6.00
Click here to get more information or to sign up
Description:

It is possible that you might not find all of the courses on this page. Please double-check also the Fall 2018 Course Catalogues of each institution:

HU
TU
FU
University of Potsdam
ESMT
Hertie School
DIW

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
Instructor:
Friday,
10:00am to 12:00pm
at HU Berlin, Spandauer Str. 1, Room 112
Description:

The course will be held online using Zoom. More information on how to attend the online course are available on Moodle.

Focusing on a specific topic within microeconomic theory, the seminar studies recent developments in the literature of mechanism design, contract theory, industrial organization, and organization theory. Students discuss and present related research papers, pointing out their interrelations and discussing their main contributions. The seminar puts a particular emphasis on understanding the theoretical underpinning behind the papers’ results and the economic mechanisms they capture. A major goal of the seminar is to find new open questions for future research. Participants are expected to attend all the sessions, read all the discussed papers beforehand, and participate actively in discussions.

Requirements for credits:
discussion of a paper (no grade)

Credits:
9.00
Click here to get more information or to sign up
Instructor:
Tuesday,
10:00am to 01:00pm
at DIW Berlin, Mohrenstraße 58, Elinore Ostrom Hall
Description:

The course will be held via Webex. Information on how to attend the online course will be provided to registered students by M. Fratzscher's office.

The seminar deals with changes and new developments in the theoretical and empirical literature on monetary policy. Topics covered through lectures and seminar papers include the following: the appropriate mandates and objective function of central banks, the relationship between monetary policy and financial supervision, the role of the exchange rates, the functioning of monetary policy in a monetary union, the importance of fiscal dominance, quantitative easing during financial crises, the role of communication of objectives and policies, the functioning of central bank committees, transparency and independence and accountability, global coordination of monetary policy, the international role of the euro and the US dollar.

The course will first start with a series of lectures addressing these various issues. The seminar participants are then asked to prepare a seminar paper on one of the issues, which then has to be presented and discussed towards the end of the semester. To allow an intensive dialogue among the students, the seminar is organized in block classes. Many topics are closely related to each other.

The lectures will take place on 28 April and 5 May. The seminar presentations will take place on 7, 14 and 16 July.

Part of the seminar:
Ungraded presentation and discussion

Restriction to participation: 20

Registration: 30.03. to 03.04.2020 via e-mail to mfratzscher@diw.de

Literature:

1. Monetary policy by the ECB
There is a large controversy about the effectiveness of the ECB’s unconventional monetary policies. Is monetary policy doing too much; is the ECB going beyond its mandate? What should it do going forward? And how effective have its nonstandard monetary policy been in the past?

Altavilla, C., Giannone, D., Lenza, M., 2014. The financial and macroeconomic effects of the OMT announcements. ECB Working Paper forthcoming.
Fratzscher, M., Lo Duca, M., Straub, R., 2014, “ECB Unconventional Monetary Policy Actions: Market Impact, International Spillovers and Transmission Channels”, IMF AR conference paper.
Rogers, J. H., Scotti, C. and Wright, J. H., 2014. Evaluating asset-market effects of unconventional monetary policy: a cross country comparison. Board of Governors of the Federal Reserve System, International Finance Discussion Papers No. 1101, March 2014.
Praet, P (2013), "Forward Guidance and the ECB", VoxEU.org, August 6.

2. Unconventional monetary policy by the Federal Reserve
The Federal Reserve has been one of the first central banks that adopted a policy of quantitative easing following the global financial crisis in 2008. The Fed combined these policies with other policy measures. Moreover, quantitative easing policies differ sharply across countries and central banks, given different objectives and different market structures. What are the channels through which nonstandard monetary policy functions? What is the evidence which of these channels were most important? What are the costs and benefits from such policies?

Bauer M.D., Rudebush, G., 2013. The Signalling Channel of Federal Reserve Bond Purchases. International Journal of Central Banking, forthcoming.
Gagnon, J., Raskin, M., Remache, J., Sack, B., 2011. “The Financial Market Effect of Federal Reserve’s Large-Scale Asset Purchases”. International Journal of Central Banking, 7 (1), 3–43.
Krishnamurthy A., Vissing-Jorgensen, A., 2011. The effects of quantitative easing on interest rates: channels and implications for policy. Brookings Papers on Economic Activity 2, 215-287.

3. Spillovers and interdependence of monetary policy
There is a big discussion in international fora whether and how large spillovers of US and European quantitive easing policies have been over the past few years to other countries, in particular emerging markets what is the evidence for such spillovers? What are the costs and benefits? Do emerging markets benefits from such policies or do they suffer?

Bowman, D., Londono, J. M., Sapriza, H., 2014. US unconventional monetary policy and contagion to emerging market economies. Board of Governors of the Federal Reserve System, Mimeo.
Chen,Q., Fliardo, A., He, D., and Zhu F., 2012. International spillovers of central bank balance sheet policies. BIS Working Paper 66, 2012.
Fratzscher, M., Lo Duca, M., Straub, R., 2013, “On the international spill-overs of US quantitative easing”. ECB Working Paper No. 1557.
Lim, J., J.,Mohapatra, S., Stocker, M., 2014. Tinker, Taper, QE, Bye? The Effect of Quantitative Easing on Financial Flows to Developing Countries. World Bank Policy Research Working Paper No. 6820.

4. The inflation targeting debate – has inflation targeting been successful?
Central banks have shifted massively towards inflation targeting since the early 1990s. But this trend has been stopped and partly been reverse during the crisis as many central banks have abandoned informally heir inflation objective and focused on other objectives (financial stability, growth, employment, exchange rate stability). What are the pros nd cons of IT? Is it still the preferred monetary policy regime after the crises? What are the criteria to answer this question, and what is the outlook for the future?

Fatas, A., Mihov, I. and A. Rose (2006). Quantitative Goals for Monetary Policy, Journal of Money, Credit and Banking.
Levin, A.T., F.M. Natalucci and J.M. Piger (2004). The Macroeconomic Effects of Inflation Targeting. Federal Reserve Bank of St. Louis Review. 86(4), 51-80.
Gürkaynak, R., A. Levin, und E. Swanson (2006). Does Inflation Targeting Anchor Long-Run Inflation Expectations? Evidence from Long-Term Bond Yields in the US, UK and Sweden. Federal Reserve Bank of San Francisco Working Paper No. 2006-09.
Lin, S. and Ye, H. (2007). Does inflation targeting really make a difference? Evaluating the treatment effect of inflation targeting in seven industrial countries, Journal of Monetary Economics

5. Global reserve accumulation
Many emerging markets (EMs) have been accumulating massive amounts of foreign reserve holdings. What are the motivations for this trend? What are its domestic and global repercussions; what are possible alternatives? How does foreign-exchange accumulation fit into different monetary policy strategies? What is the relationship between foreign-exchange policy, capital account openness and monetary policy?

Aizenman, J., and H. Ito. 2013. Living with the Trilemma Constraint: Relative Trilemma Policy Divergence, Crises, and Output Losses for Developing Countries. NBER Working Paper No. 19448 (September). Cambridge: National Bureau of Economic Research.
Aizenman, J., M. D. Chinn, and H. Ito. 2008. “Assessing the Emerging Global Financial Architecture: Measuring the Trilemma's Configurations Over Time.” NBER Working Paper #14533. Cambridge: National Bureau of Economic Research.
Aizenman, J., M. D. Chinn, and H. Ito. 2010. "The Emerging Global Financial Architecture: Tracing and Evaluating the New Patterns of the Trilemma's Configurations", Journal of International Money and Finance, Vol. 29, No.4, p. 615-641 (2010).
Cheung, Y.-W. and H. Ito. 2009. “Cross-sectional analysis on the determinants of international reserves accumulation.” International Economic Journal, Vol. 23, No. 4, p. 447-481.

6. Global saving glut, global imbalances and monetary policy
What are the chances, and what the potential channels for an adjustment of global current account positions and capital flows? What are the risks from such imbalances; and how important have they been in explaining the global financial crisis? How does the global saving glut relate to monetary policy, is it a cause or consequence or entirely unrelated?

Chinn, Menzie and E. Prasad (2003), “Medium-Term Determinants of Current Accounts in Industrial and Developing Countries: An Empirical Exploration,” Journal of International Economics 59, 47–76.
Lane, Philip R. and Gian Maria Milesi-Ferretti (2011), “External Adjustment and the Global Crisis,” IMF Working Paper WP/11/197, August.
Bernanke, Ben S. (2005), “The Global Saving Glut and the U.S. Current Account Deficit.” The Sandburg Lecture, Virginia Association of Economists, Richmond, VA, March 10.
Chinn, M., B. Eichengreen and H. Ito (2013): "A forensic analysis of global imbalances", Working Paper, University of Wisconsin.

Exam: Term paper

Credits:
6.00
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Instructor:
Wednesday, 04:30pm at University of Potsdam, Campus Griebnitzsee
Description:

COVID-19 update:
As classroom meetings are currently not possible, the first session of the course will be held via Zoom on Monday, April 20 at 10:15. During this session, we will discuss how to proceed given the current situation. Please sign up for the course via E-Mail to Stefan (
tuebbicke@empwifo.uni-potsdam.de). This will be necessary as to share the link to our Zoom meeting as well as the password for the Moodle course with you.

Causal inference has become the predominant toolbox in empirical research. The aim of this course is to provide participants with a deeper understanding of microeconometric methods that allow to draw causal inference in many settings and discuss the most-recent advances. The course will have a block-structure where we first discuss causality based on the potential outcome framework. After a brief discussion of experimental methods, we will introduce different popular quasi-experimental methods such as matching, difference-in-differences, instrumental variables or regression discontinuity. We will discuss the identifying assumptions and the pros and cons of each method based on empirical examples. The lecture will also be complemented by practical computer sessions where the estimators will be implemented in STATA or R.

Topics:

  • Causality and the Potential Outcome Framework
  • Experiments
  • Matching
  • Difference-in-Differences
  • Instrumental Variables
  • Regression-Discontinuity Design

The course will be held in block structure between April 20 and July 10, 2020, with approximately seven lecture days (4 hours each) during the semester. The practical sessions – about six – will be blocked as well.

Updated course information will be available by March 23 under https://www.uni-potsdam.de/de/empwifo/studium-lehre/aktuelles-semester.html.

PhD students are asked to register by April 13 via tuebbicke@empwifo.uni-potsdam.de.

Literature:
paper-based. For an introduction, see Imbens G, Wooldridge J. (2009): Recent Developments in the Econometrics of Program Evaluation. Journal of Economic Literature, 2009;47(1):5-86.

Exam:
written exam (90 min) and term paper

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Thursday,
02:00pm to 03:30pm
at FU Berlin, Boltzmannstr. 20, Kaminzimmer (room 202)
Description:

Information on how to attend the online course will be available on FU's Blackboard. Please email to economics@jfki.fu-berlin.de to get access.

This seminar is geared toward PhD students who are at the beginning of their second or third year and who specialize in the field of applied microeconomics, in particular, in empirical work striving to identify causal effects (e. g, by applying quasi-experimental methods). The seminar aims to help students kick starting their first research project respectively first research paper. This course offers students a forum to present and discuss their first own research project. Presentation of early stage research projects or research ideas is encouraged. Active participation in all weekly meetings is mandatory. Extensive feedback will be provided on the research project, including recommendations on how to proceed with their research agenda towards their dissertation. The seminar will be also devoted to questions concerning the writing of papers (e.g., abstract and introduction).

Registration

To register for the seminar, you will need to send an e-mail including an extended abstract (< 450 words) of your (planned) research project/paper to economics@jfki.fu-berlin.de.

Registration should take place not later than April 10, 2020!

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Wednesday,
04:00pm to 06:00pm
at HU Berlin, Spandauer Str. 1, Room 21a
Description:

The colloquium will be held online on Wednesdays between 4.30 and 6.00 pm using Zoom. The first session will take place on April 22 and will serve as a check-in to see who is interested, if there are technical difficulties and to clarify questions. A Moodle course was created where the upcoming sessions together with the Zoom link to the meeting will be announced.

This seminar is geared toward students who are at the beginning of their second or third year. The seminar aims to help students kick-starting and receive active feedback on their research projects in micro economic theory. Students who wish to obtain ECTS credits are required to present at least once, attend at least 75% of the sessions, and actively participate in the discussions. Presentation of early stage research projects or research ideas is highly encouraged. The seminar offers students a forum to present and discuss their own research project. Extensive feedback will be provided.

Literature:
none

Requirements for credits:
discussion of a paper (no grade)

Credits:
9.00
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Instructor:
Tuesday,
12:00pm to 02:00pm
at HU Berlin, Dorotheenstraße 1, Room 4.05
Description:

Discussion of current research topics in financial economics.

Evaluation:
Seminar paper (100 %)

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Tuesday,
04:00pm to 06:00pm
at DIW Berlin, Mohrenstr. 58, Elinor-Ostrom-Hall
Description:

No obtainment of credit points.

Click here to get more information or to sign up
Instructor:
Thursday,
02:00pm to 04:00pm
at HU Berlin, Spandauer Str. 1, Room 22
Wednesday,
08:30am to 10:00am
at HU Berlin, Spandauer Str. 1, Room 203
Description:

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

The lecture deals with theoretical and practical concepts from the fields of statistical learning and machine learning. The main focus is on predictive modeling. The weekly tutorial applies these concepts and methods to real examples for illustration purposes. You are expected to work throughthe exercises for the tutorials. They will typically consist of proofs of theory and programming tasks like the implementation of algorithms.

The registration to the moodle course is obligatory.

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Thursday,
02:00pm to 05:00pm
at DIW Berlin, Mohrenstraße 58
Description:

Course objectives:

  • Discuss advantages and limitations of structural econometric models. Give students an understanding of why and when adding structure is important.
  • Provide insights into strategy (especially, identication) in important papers in structural Labour, Public & IO literature. Give a feel of how one may go about establishing a structural model.
  • Establish basic estimation techniques & numerical methods such as Simulation, Numerical integration and Discretisation.
  • Develop matrix programming skills using Matlab. Loops vs. vectorisation; readability vs. speed; sustainable coding for several projects.

Evaluation:
If this course is taken for credits, the final grade will be determined by

  • 2 problem sets (to be completed in groups of max. 2 participants), weighted 1/3 each, and
  • a final exam, weighted 1/3.

Course location:
DIW Berlin, rooms as follows:
16.4. Friedensburg, 23.4. Friedensburg, 30.4. Popper, 14.5. Friedensburg, 28.5. 33002C, 11.6. Friedensburg, 12.6. Friedensburg, 18.6. Friedensburg, 25.6. 33002C, 2.7. Friedensburg, 9.7. tbd

More information can be found in the attached syllabus.

Credits:
9.00
Click here to get more information or to sign up
Monday,
09:00am to 12:30pm
at DIW Berlin, Mohrenstr. 58, Elinor Ostrom Hall
Description:

The course will be postponed to the fall term 2020.

  1. Vector Autoregressive Models
  2. Vector Error Correction Models
  3. Structural VAR Tools
  4. Bayesian VAR Analysis
  5. Identification by Short-Run Restrictions
  6. Identification by Long-Run Restrictions
  7. Inference for Impulse Responses
  8. Sign Restrictions
  9. Identification by Heteroskedasticity or Non-Gaussianity
  10. Identification Based on External Instruments
  11. Structural VAR Analysis in a Data-Rich Environment
  12. Nonfundamental Shocks

Literature:

Lutz Kilian and Helmut Lütkepohl (2017), Structural Vector Autoregressive Analysis, Cambridge University Press.
Helmut Lütkepohl (2005), New Introduction to Multiple Time Series Analysis, Springer-Verlag.

Time:

16×90 min lectures during the period 11-22 May 2020.

Location:

Elinor Ostrom Hall, 1.2.019, DIW Berlin, Mohrenstr. 58, 10117 Berlin.

Exam:

The grade for the course will be based on a paper which is due shortly after the end of the course. Details will be announced in class.

Please register via email to Juliane Metzner.

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Description:

Information on how to attend the online course will be available on the course's website.

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Thursday,
02:00pm to 04:00pm
at HU Berlin, Spandauer Str. 1, Room 21a
Monday,
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. General guidelines for digital courses given by Michael Burda can be found in the linked PDF file.

Search and matching frictions as a fundamental and defining attribute of labor markets. Role of matching frictions in models of employment, unemployment, and other phenomena. Introduction to search theory in partial equilibrium settings. On-the-job search and wage distributions in general equilibrium. Models of wage-posting. Jovanovic's model. Implications for labor market institutions and macroeconomic analysis.

Exam:
written exam (90 min)

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Description:

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

The main objective of the seminar is to support each participant in developing a research project that is suitable for a thesis in accounting and auditing.

Seminar participants have to complete three assignments in order to show their learning progress.

  • The first assignment is to replicate and extend parts of an already published empirical paper. The goal is to provide the participants with the necessary skills to conduct each step of an empirical analysis (i.e., data preparation, data description and data analysis) on their own. Students will work on the first assignment during the first half of the seminar for about six weeks.
  • The second assignment is to prepare a research proposal. The idea is that the participants use their insights from the first assignment and the seminar meetings to develop a proposal as a potential foundation for their Master's thesis. Students will work on the second assignment during the second half of the seminar for about six weeks.
  • The third assignment is to present the research proposal during the last seminar meeting to all other participants as well as selected members of our institute. Students are also expected to discuss the proposals of the other participants.

The final grade will be given/will be awarded for the portfolio of all three assignments.

Credits:
6.00
Click here to get more information or to sign up
Wednesday,
12:00pm to 02:00pm
at HU Berlin, Spandauer Str. 1, Room 21a
Thursday,
08:00am to 10:00am
at HU Berlin, Spandauer Str. 1, Room 25
Description:

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

The course aims at providing the basic concepts and methods for analysing time series data. The focus is on univariate modelling tools. The lecture begins with classical components models. Then we cover different types of stochastic processes like ARIMA and GARCH models, deal with the unit root methodology and procedures for forecasting as well as for the specification, estimation and validation of models. Multivariate extensions are demonstrated, with emphasis on vector autoregressive (VAR) processes and its application in causality and impulse response analyses. Nonstationary systems with integrated and cointegrated variables will also be treated. In the last session, a brief introduction to count time series, with particular emphasis in INAR(1) models and their applications, will be introduced.

In the tutorials the time series methods are applied to empirical data. We will intensively make use of econometric software packages.

Classical components models; stochastic processes; stationarity; ARIMA processes, GARCH models; specification, estimation and validation of models; forecasting; unit root tests; multivariate extensions: VAR processes, causality and impulse response analysis, cointegrated processes. In the tutorials the time series methods are applied to empirical data.

Literature:
Hamilton, D.J. (1994). Time Series Analysis, Princeton University Press.
Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis, Springer Verlag, Heidelberg

Exam:
written exam (90 min)

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Thursday,
09:00am to 05:00pm
at Haus Tornow am See, Oberbarnim
Description:

This seminar is intended to give participants exposure to state of the art research in time series econometrics and its applications in empirical finance and macroeconomics. The course provides doctoral students the opportunity to present their own, preliminary research in these areas.

To register for the seminar, you will need to send an e-mail including an extended abstract to max.diegel@fu-berlin.de. Registration should take place not later than 31 May, 2020.

Exam: none

Credits:
2.00
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