Courses

Instructor:
Friday,
12:00am to 02:00pm
at HU Berlin, Spandauer Str. 1, Room 23
Description:

This course introduces the students to recent developments in empirical asset pricing. The central question addressed in the course is: What causes the fluctuations in prices of risky assets? This question has been a source of intense debate among financial economists over the last decades, with no resulting consensus. It has divided our profession into two broad groups, “rational” and “behavioral”. The course starts with a brief review of the basic concepts of the asset pricing theory. The main part of the course is divided into three sections:
1. Time-series facts and excess volatility
2. Cross-sectional facts and anomalies
3. Empirical methods
Each section will include (i) lectures, (ii) empirical work and (iii) student presentations and discussions of the papers from the reading list.

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Instructor:
Tuesday, 02:15pm at DOR1, 3.04
Description:

Capital-Structure Theory, Financial Constraints, Internal Capital Markets, Delegated Investment Management, Empirical Methods

Corporate Governance, Behavioral Finance, Corporate Risk Management

Financial Contracting: Decision and Control Rights, Strategic Default, Investor Monitoring: Takeovers

Implementation of models and calculations of select papers from the seminar using GNU/R.

A component of the Seminar is an ungraded presentation of research paper, referee report.

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Instructor:
Wednesday, 12:15pm at HU, Spandauer Str. 1, room 22
Description:

Evaluating marketing decisions and developing goal-oriented marketing strategies, e.g. maximizing firm profits, depend on the measurement of causal relationships between firms’ objectives and marketing activities. In this course, we discuss in depth advanced methods to empirically determine the causal relationship between marketing activities and firms’ objectives. In exercise courses students learn how to apply these methods to real data. Special attention is given to modeling the effects of marketing on sales and market share data. In this course we also focus on discrete choice models for individual purchase data and aggregate sales data. Successful participation in this class will enable students to quantify the impact of marketing on key performance measures and to evaluate the success of marketing activities.

Literature:


1. Anderson, S.P., de Palma A. and Thisse, J.-F. (1992), Discrete Choice Theory of Product Differentiation, The MIT Press.
2. Cody, R.P. and Smith, J.K. (2006), Applied Statistics and the SAS® Programming Language, Pearson.
3. Dubin, J. A. (1998), Studies in Consumer Demand – Econometric Methods Applied to Market Data, Kluwer Academic Publishers Group.
4. Franses, P.H. and Paap, R. (2010), Quantitative Models in Marketing Research, Cambridge University Press.
5. Hanssens, D.M., Parsons, L.J. and Schultz, R.L. (2003), Market Response Models: Econometric and Time Series Analysis, Kluwer Academic Publishers Group.
6. Train, K.E. (2009), Discrete Choice Methods with Simulation, Cambridge University Press. 1st edition is available here: http://elsa.berkeley.edu/books/train1201.pdf.
7. Verboven, F. (1996), International Price Discrimination in the European Car Market. RAND Journal of Economics, 27(2), 240–268.
8. Wooldridge, J.M. (2008), Introductory Econometrics, South-Western Cengage Learning.

Exam:
 4 non-graded Special Work Performances plus Graded written Assignment

Credits:
6.00
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Instructor:
Monday, 01:30pm at HU, Spandauer Str. 1, room 23
Description:

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. A deeper insight into advanced methods and additional topics is offered by means of assignments, empirical studies and/or literature reviews.

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)

Weekdays/Times: Mon, 10:00-12:00, room 23
Thu, 12:00-14:00, room 25

Credits:
6.00
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Instructor:
Tuesday, 02:30pm at FU Berlin, Garystr.
Description:

The aim of applied microeconometrics is to analyze individual behavior on the basis of micro data (cross-section and panel data) of individuals, households, and firms. The standard linear regression model is generally not applicable to micro data due to the non-metric measurement and censoring of dependent variables at the individual level, selectivity and incomplete observability of endogenous variables, and the dependence of individual observations over time. The empirical methods most frequently applied in empirical microeconomics are surveyed and several applications in empirical microeconomics are presented. Students learn how to apply these methods using real-world micro data and the software package STATA.

Time(s): 2:30 - 4 pm (lectures); 8:30 - 10:00 am (tutorials)

Literature:
M. Verbeek, A Guide to Modern Econometrics (4 ed.), Wiley, 2012.
A. C. Cameron and P. K. Trivedi, Microeconometrics. Methods and Applications, Cambridge University Press, 2005
W. H. Greene, Econometric Analysis (7 ed.), Pearson, 2012, Chapters 11 and 17-19.
J. M. Wooldridge, Econometric Analysis of Cross Section and Panel Data, MIT Press, 2 ed. 2010
Selected journal articles on empirical applications.

Credits:
6.00
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Wednesday, 12:00pm at HU Berlin, Spandauer Str. 1, Room 23
Description:

The Brown Bag Seminar is an informal research seminar on business and economics. Doctoral students and faculty members are invited to present their current research including work in progress, early stage projects as well as advanced projects. All faculty members and PhD students are kindly invited to attend the seminar. Sandwiches are provided for lunch but please feel free to bring your own lunch along.

If you are interested in presenting your work in the seminar, please send an email to Johanna Krenz (johanna.krenz@wiwi.hu-berlin.de) or Felix Strobel (felix.strobel@wiwi.hu-berlin.de). Announcements of upcoming talks are sent by email.

It takes place weekly on Wednesdays from 12:30 p.m. until 2:00 p.m. in room 23.

20.04. tba
27.04. Michele Piffer (DIW): Identifying Uncertainty Shocks Using the Price of Gold https://sites.google.com/site/michelepiffereconomics/Piffer_Podstawski_U...
04.05. tba
11.05. tba
18.05. tba
25.05. Thilo Huning (HU): Soil, Transparency, and Political Fragmentation: Evidence from the Holy Roman Empire
01.06. Humboldt Forum Wirtschaft
08.06. Alexander Wulff
15.06. Albrecht Glitz
22.06. Benjamin Bruns (joint work with Kai Priesack)
29.06. Falk Mazelis
06.07. Jelena Zivanovic
13.07. Philip Pfeiffer
20.07. Benjamin Grosse-Rueschkamp

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Wednesday (All day) at HU Berlin, Spandauer Strasse 1, room 112
Description:

Lecture by
Mr. Johann-Hinrich Ernst, Alternate Director with the European Bank for Reconstruction and Development (EBRD) based in London, on the topic “Career opportunities with the European Bank for Reconstruction and Development”.

Mr. Ernst is a senior diplomat with the German Foreign Service currently serving a term as representative of Germany in the Office of the German Executive Director with the EBRD. He will give insightful information about job opportunities with the EBRD and will subsequently be available for a Q&A session.

The talk will take place on June 8 from 12 to 1 pm in room 112, Spandauer Strasse 1.

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Description:

Please see the attached pdf file for more information.

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Monday,
02:00pm to 05:30pm
at Eleanor Dulles Room (5.2.010), DIW Berlin, Mohrenstr. 58, 10117 Berlin
Tuesday,
09:00am to 12:30pm
at Schmoller Room (1.2.026), DIW Berlin, Mohrenstr. 58, 10117 Berlin
Description:

DIW Masterclass invites Ulrich Doraszelski for a guest lecture taking place July 4 and 5 about Dynamic Games: Numerical Methods and Applications.

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Thursday,
02:00pm to 05:30pm
at Eleanor Dulles Room (5.2.010), DIW Berlin, Mohrenstr. 58, 10117 Berlin
Friday,
09:00am to 12:30pm
at Eleanor Dulles Room (5.2.010), DIW Berlin, Mohrenstr. 58, 10117 Berlin
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Instructor:
Description:

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. These topics includes a discussion of the asymptotic theory for nonlinear estimation techniques (MLE, Nonlinear Least Squares), discrete choice models, limited dependent variables models, and linear quantile regressions. The course provides an up-to-date treat-ment at the level of Wooldridge's textbook on “Econometric Analysis of Cross Section and Panel Data”. 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.

Prerequisites
Knowledge of econometrics at the level of the courses “Econometric Methods 1” (First Master course) or “Econometrics I” (BDPEMS).

Tuesday 8:30-10:00, SPA 1, 202
Tuesday 14:00-16:00, SPA 1, 203 and 025 (PC-Pool)

Outline
1. Review of the linear Regression Model for Cross-Sectional Data
References: WO Chapters 1–6, CT Chapters 4, 21, 22, AP Chapters 2–4

1.1 Preliminaries: Conditional Expectations in Econometrics, Causal Analysis, Linear Projections
1.2 OLS: Asymptotic Theory, Robust Standard Errors, Partitioned Regression, Gauss-Markov-Theorem, Testing
1.3 Instrumental Variable Regression

2. System Estimation by OLS and GLS, Linear Panel Data Models
Reference: WO Chapters 7, 10, AP Chapter 5

3. Nonlinear Least Squares and Maximum Likelihood
Reference: WO Chapters 12, 13

4. Binary Response Models and Limited Dependent Variables
Reference: WO Chapters 15, 17

5. Linear Quantile Regression (QR)
References: KO, AP Chapter 7, WO Chapter 12.10, CT Chapter 4.6

5.1 Introduction to linear quantile regression: Distance function, Asymptotic distribution, Properties of the estimator, Interpretation as Method-of-Moments Estimator,
5.2 Decomposition Analysis with Quantile Regression and Unconditional Quantile Regression

Main References:
• AP: Angrist, J. D. and J.-S. Pischke (2009): Mostly Harmless Econometrics – An Empiricist’s Companion, Princeton University Press.
• CT: Cameron, A. C. and P. K. Trivedi (2005): Microeconometrics – Methods and Applications, Cambridge University Press.
• GR: Greene, W. (2008): Econometric Analysis, 6th ed., International Edition, Prentice Hall.
• KO: Koenker, R. (2005) Quantile Regression. Econometric Society Monograph, Cambridge University Press, Cambridge.
• WO: 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-pan...).

Grade
The grade will be based on a written final exam (90 minutes, two dates).

Further Information

There will be problem sets with theoretical and empirical exercises which will be assigned as voluntary homeworks for Master students and as mandatory homeworks for PhD students. Homeworks are to be submitted by groups of 2-4 students. The homeworks will be corrected for all students and the same number of credits will be given for all group members. However, the homeworks do not count as part of the final grade for master students. PhD students must obtain at least 50% of all possible credits for the graded homeworks in order to be able to write the final exam but the final grade for the PhD students will only be based on the final exam.

Further references, particularly regarding the method of Quantile Regression and the application of the methods, will be given in the course. The basic estimation techniques will be implemented in the PC Pool using the econo¬metric package Stata.

Credits:
9.00
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Instructor:
Description:

In this seminar, participants present and discuss own empirical research in the fields of public economics and economic policy. The main interest lies in the economic effects of government policies, in particular fiscal and social policies. The methodological focus is on applied microeconometrics.

Literature: Tba.

Exam: Oral presentation of own research paper (may be work in progress).

In the summer term of 2016, the seminar is offered as a compact course on two days:

Friday, June 3, 2016, 9am - 2pm, Conference Room K II, Henry Ford Building
Friday, July 22, 2016, 9am - 2pm, Conference Room K II, Henry Ford Building

Credits:
3.00
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Instructor:
Friday, 02:00pm at HU Berlin, Dorotheenstr. 1, Room 2.04
Description:

The course aims at equipping you with the necessary background and skill-set to read, comprehend and evaluate empirical work in the area of financial accounting research. It is aimed at second year PhD-students and requires a sound background in economics
and microeconomics. In addition, students should have a general understanding of the institutions of capital markets in general and financial accounting in particular. Master students are invited to attend but it is not possible to obtain credits. If you are
interested in attending please contact Joachim Gassen (gassen@wiwi.hu-berlin.de).

Credits:
0.00
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Instructor:
Description:

The Institute of Accounting and Auditing is offering a Financial Accounting Research Group. This seminar is targeted at interested students which have an active interest in current financial accounting topics and in cutting-edge financial accounting research. The main objective of this seminar is to introduce eligible students to current research in the area of financial accounting and auditing.
In this context, we will provide participants with the necessary skills to comprehend common research design choices and to identify shortcomings of these choices. To achieve this, participants of the seminar will be invited to several lectures, tutorials and talks of international guests, which will take place at the institute. Since it is common to discuss the content of these talks beforehand, participants will also be invited to the corresponding discussion meetings at the institute. Each seminar period will last for one academic year and we expect participating students to commit to the full year. We expect to have around 12 meetings (6 research talks and 6 discussion meetings) scattered throughout the academic year.
A final seminar schedule will be distributed at beginning of each term. The discussion meetings prior academic talks will be arranged on short notice.
Enrolment into the seminar is possible at the beginning of winter or summer term. Students can chose to obtain 6 ECTS by submitting three reviews (or two reviews and a discussion protocol) on papers that are presented throughout the seminar.
The number of participants is limited. Relevant literature and additional material will be announced throughout the seminar.
The number of participants is limited to 8.
An application form will be available on our institute's website approximately two weeks before the term starts. The application period will end on 18 April 2016.

The exact dates will be announced due time.

Credits:
6.00
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Thursday, 05:00pm at Kaminzimmer, Boltzmannstr. 20, Freie Universität Berlin
Description:

The chair of statistics and econometrics of Freie Universität Berlin helds a weekly seminar with the following program:

21. April 2016 Uwe Hassler (Uni Frankfurt)
Ratio Tests under Limiting Normality

28. April 2016 Toni Braun (Atlanta Fed)

12. Mai 2016 Seppo Honkapoja (Bank of Finland)

19. Mai 2016 Alfred Haug (University of Otago)

26. Mai 2016 Jesper Linde (Sveriges Riksbank)

02. Juni 2016 Marco Caliendo (Uni Potsdam)

09. Juni 2016 Peter Hansen (EUI Florenz)

16. Juni 2016 Christian Merkl (Universität Erlangen-Nürnberg)

23. Juni 2016 Günter Coenen (European Central Bank)

30. Juni 2016 Ariane Würbach (Universität Bamberg)

07. Juli 2016 Lutz Weinke (Humboldt Universität Berlin)

14. Juli 2016 Goeran Kauermann (LMU München)

21. Juli 2016 Pentti Saikkonen (University of Helsinki)

Please check the website for updates and information: http://www.wiwiss.fu-berlin.de/fachbereich/vwl/iso/colloquium/programm/i...

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Instructor:
Thursday, 12:15pm at Kaminzimmer, Boltzmannstr. 20, Freie Universität Berlin
Description:

The research seminar organized by Giacomo Corneo and Ronnie Schoeb from Freie Universität Berlin takes place every Thursday from 12:15 to 2:00 pm.

The current program is the following:

April 21, 2016 Claudio Lucifora (Catholic University of Milan)
What If Your Boss Is a Woman? Work Organization, Work-Life Balance and Gender Discrimination at the Workplace

April 28, 2016 Alberto Cavaliere (Universita de Pavia)
Investment Driven Mixed Firms: Partial Privatization by Local Governments

May 5, 2016 Ascension Day

May 12, 2016 Daphne Nikolitsa (University of Crete)
Determining factors of cross-country dispersion in life satisfaction: evidence from Europe

May 19, 2016 Thomas Dohmen (Universität Bonn)
The Nature and Predictive Power of Preferences: Global Evidence

May 26, 2016 Silke Übelmesser (Universität Jena)
Job Changes and Interregional Migration of Graduates

June 2, 2016 Jonathan Fox (Freie Universität)
Origins and effects of the rural public health programs in North Carolina

June 9, 2016 N.N.

June 16, 2016 Henning Weber (Bundesbank)
How do regional labor markets adjust to immigration? A dynamic analysis for post-war Germany

June 23, 2016 Timm Bönke (Freie Universität)
TBA

June 30, 2016 N.N.

July 7, 2016 N.N.

July 14, 2016 Emanuel Gasteiger (Freie Universität)
TBA

July 21, 2016 Clemens Hetschko (Freie Universität)
Income in Jeopardy: How Losing Employment Affects the Willingness to Take Risks

Please check the website for updates and more information: http://www.wiwiss.fu-berlin.de/forschung/veranstaltungen/rse/Current-Pro...

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Instructor:
Wednesday, 08:30am at TU, Strasse des 17. Juni 135, room H 0107
Description:

This course is divided into two parts:

The first part by Frank Heinemann analyzes how future expected money supply affects the current price level, why money can be written in the utility function and what is required to determine a unique equilibrium with rational expectations. Turning to the foundations of New Keynesian Macroeconomics, we analyze why monopolistic competition leads to an active role for monetary policy, derive the forward looking Phillips curve and study optimal monetary policy.

The second part (starting June 15) of this course deals with search and matching and is taught by Mathias Trabandt from Free University. The syllabus and organizational details about the second part of the course will be published in due course at www.wiwiss.fu-berlin.de/trabandt.

Credits:
9.00
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Instructor:
Thursday,
09:00am to 12:00pm
at ESMT, Schlossplatz 1
Description:

Management Science II

This course familiarizes students with classical statistical methods of management research and theoretical models in industrial organization and strategic management.

Please see syllabus attached.

Credits:
9.00
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Instructor:
Description:

This course is devoted to market failures and welfare economics. The first part focuses on the three classical conditions under which market outcomes lead to an inefficient allocation of resources: externalities, imperfect competition and asymmetric information. It addresses these questions both from a positive and normative perspective. The second part addresses fundamental issues of welfare economics from the perspective of a policy maker who designs and implements collective decisions. It focuses in particular on social choice theory, the foundations of bargaining and welfare economics, and mechanism design. The intention of the course is to familiarize students with the standard tools of modern economic theory and to train them in applying these tools to actual economic problems.

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

Exam: Final Exam: 18.7.2016

Mondays, 12:00pm to 04:00pm

18.4 Matthias Lang
25.4 Matthias Lang
2.5 Matthias Lang
9.5 Matthias Lang
16.5 no lecture
23.5 Helmut Bester
30.5 Helmut Bester
6.6 Helmut Bester
13.6 Helmut Bester
20.6 Roland Strausz
27.6 Roland Strausz
4.7 Roland Strausz
11.7 Roland Strausz
18.7 Exam

April 18 – June 13 at FU Berlin, Boltzmannstr. 20, Room HS 328
June 20 – July 18 at HU Berlin, Spandauerstr. 1, Room HS203

Credits:
9.00
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Thursday,
02:00pm to 05:30pm
at Room.220, Humboldt-Universität, Wirtschaftswissenschaftliche Fakultät, Spandauer Strasse 1, 10178 Berlin
Friday,
09:00am to 12:30pm
at Room.220, Humboldt-Universität, Wirtschaftswissenschaftliche Fakultät, Spandauer Strasse 1, 10178 Berlin
Description:

This short course focuses on solving and analyzing economic models with occasionally binding constraints. Such constraints are a common feature in many environments.
A prominent example that recently has received a lot of attention is the zero lower bound on central banks’ policy rates. In response to the financial crisis and the massive decline in economic activity, central banks sharply reduced interest rates to levels close to zero.
Although some central banks’ policy rates have now entered negative territory, there clearly are constraints that limit the values policy rates can take on.

This course discusses numerical techniques that can be used to solve such models.

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Instructor:
Thursday, 10:15am at DIW, Garystr. 21, room 105
Description:

Participating students are expected to be familiar with basic time series analysis and methods of econometrics. The course covers advanced methods of modelling and analysing multiple time series. Students are introduced to the models, parameter estimation and specification of the relevant models. They will learn to use them for economic analysis and forecasting.

Contents

Review of univariate time series analysis
Vector autoregressive (VAR) models
Specification and estimation of VAR models
Cointegration
Vector error correction models (VECMs)
Estimation of VECMs
Cointegration tests and specifications of VECMs
Structural vector autoregressive analysis

Literature

Hamilton, J., Time Series Analysis, Princeton University Press, Princeton, NJ, 1994.
Johansen, S., Likelihood-based Inference in Cointegrated Vector Autoregressive Models, Oxford University Press, Oxford, 1995.
Lütkepohl, H., New Introduction to Multiple Time Series Analysis, Springer, Berlin, 2005.

Thursdays from 10:15 to 11:45 and 14:15 to 15:45. The first lecture will take place on April 21.

Credits:
6.00
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Instructor:
Friday, 10:00am at DIW, Mohrenstrasse 58, Friedensburg Room
Description:

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 have 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 22 and 29 April and 3 May. The seminar presentations will take place on 14 and 19 July.

Location: DIW, Mohrenstr. 58, Friedensburg Room
Restriction to participation: 20
Registration: 11. to 15.04.2016 via e-mail to mfratzscher@diw.de

Grading: Seminar paper (10 - 15 pages, 70 %) + presentation and discussion (30 %)

Credits:
6.00
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Wednesday, 09:00am at HU Berlin, Dorotheenstrasse 24, room 2004a
Description:

October 4 until october 14

The Preparatory Math Course aims to prepare students with the necessary math background for the first year economics Ph.D. level courses. It is mainly meant to be a refresher of existing math knowledge.

A course outline will be delivered soon.

Credits:
0.00
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Instructor:
Monday,
12:00am to 02:00pm
at HU Berlin, Spandauer Str. 1, Room 125
Tuesday,
02:00pm to 04:00am
at HU Berlin, Spandauer Str. 1, Room 22
Credits:
6.00
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Wednesday,
02:00pm to 05:30pm
at Eleanor Dulles Room (5.2.010), DIW Berlin, Mohrenstr. 58, 10117 Berlin
Thursday,
09:00am to 12:30pm
at DIW Berlin, Mohrenstr. 58
Description:

The DIW Masterclass invites Joerg Breitung from University Cologne for a guest lecture on September 21 and 22 with the topic "Recent Developments in Panel Data Econometrics"

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Thursday, 12:30pm at Humboldt-Universität, Untern den Linden 6, Senatssaal
Description:

The Review of Economic Studies May Meetings

The Review of Economic Studies May Meetings have been held annually in May since 1989. Every year, in line with the Review’s tradition of encouraging the work of young economists, seven of the most promising graduating doctoral students in economics and finance in the world are selected to present their research to audiences in Europe. The meetings take place at the economics departments or institutes of three or four universities across Europe. Standard seminar presentations are given over two days to audiences invited by the local hosts and which include members of the journal’s editorial board.

This year BDPEMS has the honor to host this event with the following speakers:

PROGRAM

Thursday 12 May

09:00 - 09:30 Coffee and Registration
09:30 - 09:40 Welcome and Opening Remarks
09:40 - 10:55 Arlene Wong (Northwestern University): Population Aging and the Transmission of Monetary Policy to Consumption
10:55 - 11:25 Coffee Break
11:25 - 12:40 Martin Beraja (University of Chicago): A Semi-Structural Methodology for Policy Counterfactuals and an Application to Fiscal Unions
12:40 - 14:00 Lunch Break at Restaurant Cum Laude
14:00 - 15:15 Isaac Sorkin (University of Michigan): Ranking Firms Using Revealed Preference
15:15 - 16:30 Rodrigo Adao (MIT): Worker Heterogeneity, Wage Inequality, and International Trade: Theory and Evidence from Brazil

Friday 13 May

09:30 - 10:45 Nicholas Buchholz (University of Texas): Spatial Equilibrium, Search Frictions and Efficient Regulation in the Taxi Industry
10:45 - 11:00 Coffee Break
11:00 - 12:15 Shengwu Li (Stanford University): Obviously Stragety-Proof Mechanisms
12:15 - 13:45 Lunch Break at Restaurant Cum Laude
13:45 - 15:00 Laura Doval (Northwestern University): A Theory of Stability in Dynamic Matching Markets
15:00 - 16:15 Mohammad Akbarpour (University of Chicago): Thickness and Information in Dynamic Matching Markets
19:00 Big Dinner (by invitation only) at Atrium reinhardtstrassenhoefe (Reinhardtstrasse 16

Sign-Up-Deadline for participation including lunch and dinner is over. If you are intressted in attending the talks just come by!

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Wednesday,
02:30pm to 05:30pm
at Friedensburg Room 2.2.008, 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, identi cation) 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.

Provide introduction to the matrix programming language Matlab. Loops vs. vectorisation; read-
ability vs. speed; sustainable coding for several projects

Credits:
6.00
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Instructor:
Thursday, 02:15pm at FU Berlin, Garystr. 21, Lecture Hall 104a
Description:

The course “Taxation” consists of a lecture (2 class hours) and problem class (1 class hour) covering the economics of taxation. The course is primarily concerned with the microeconomic theory of taxation.

We cover the following topics:
• Fundamentals of Taxation
• Taxation and Labor Supply
• The Excess Burden of Taxation
• Tax Incidence
• Optimal Direct Taxation
• Optimal Indirect Taxation
• The Effects of Taxation on Savings
• Taxation and Risk Taking
• Taxation and Investment
• Taxation and Capital Structure
• Tax Evasion

Literature:
• Textbook: Salanié, Bernard (2011): "The Economics of Taxation", 2nd edition, Cambridge, MA: MIT Press.
• Further literature will be announced in class.

Exam:
Participants take a final written exam (120 minutes). In addition, PhD students are required to write a term paper (theoretical or empirical).

Dates and Venue:
The lecture and problem class take place in Lecture Hall B, Henry Ford Building, Garystr. 35-37, in the first seven weeks of the summer term (20.4.-2.6.16).
Problem class: Wednesday 16:15-17:45,
Lecture: Thursday 14:15-17:30.

Credits:
9.00
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Instructor:
Monday,
10:00am to 12:00am
at TU Berlin, Main Building, Room tba
Friday,
02:00pm to 04:00am
at TU Berlin, Main Building, Room H 0107
Description:

The Economics of Climate Change is an introductory course into the economic assessment of climate change impacts and optimal mitigation and adaptation response. Welfare-economic concepts such as cost-benefit analysis, (inter-generational) discounting, non-market valuation, and different concepts of social welfare are applied to understand the impact of climate change and climate change mitigation on long-term welfare and growth. Since these concepts can be applied to many public policy problems, the course is also an introduction into intertemporal welfare theory and public economics.

The Economics of Climate Change is taught in the summer semester. In the winter semester, there is a complementary course on The Economics of Climate Policy. That course takes a decentralized policy perspective, discussing incentives, policy instruments, and game theory.

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Instructor:
Monday, 02:00pm at HU, Spandauer Str. 1, room 22
Description:

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 tutorials the time series methods are applied to empirical data. We will intensively make use of econometric software packages. A deeper insight into advanced methods and additional topics is offered by means of assignments, empirical studies and/or literature reviews.

Literature:
- Hamilton (1994). Time Series Analysis. Princeton, University Press.
- Schlittgen/Streitberg (2001). Zeitreihenanalyse. Oldenburg Verlag, München.
- Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer Verlag, Heidelberg.

Exam: written exam (90 min)

Credits:
9.00
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Instructor:
Friday, 10:00am at TU Berlin, Main Building, Room H 0107
Friday,
08:00am to 10:00am
at TU Berlin, Main Building, Room H 0112
Description:

Was ist ein kausaler Effekt? Wie kann man den kausalen Effekt einer „Behandlung“ (z.B. eines Arbeitsmarktprogramms oder einer Universitätsausbildung) auf eine Resultatsvariable (z.B. auf das Einkommen oder die Beschäftigungswahrscheinlichkeit) mit nicht experimentellen Beobachtungen schätzen? Die grundsätzliche Frage nach der Kausalität in der empirischer Forschung hat in den letzten Jahren enorme Bedeutung gewonnen und zwar nicht nur bei der Entwicklung von Methoden und Modellen zum Thema sondern auch in der Praxis. So versuchen die jüngst im Auftrag des Wirtschaftsministeriums durchgeführten Evaluierungen der Hartz-Reformen allesamt den kausalen Effekt dieser Reformen auf die Arbeitsmarktchancen der Betroffenen zu ermitteln mit Methoden, die in dieser Veranstaltung behandelt werden. Da Kausale Effekte sehr oft Ziel der Forschung sind, ist diese Veranstaltung nützlich als orbereitung für empirischen Forschungsarbeiten aller Art (Seminararbeiten, Masterarbeiten, Studienprojekte, Doktorarbeiten). Ziel ist es, in die Schätzung, Spezifikation, Interpretation und Anwendung der ökonometrischen Modelle einzuführen, die für die Analyse kausaler Effekte entwickelt wurden. Ein sehr wichtiger Bestandteil, um die Qualifikationsziele zu erreichen, sind die Übungen am Computer, um die Methoden selbständig auf reale Daten anzuwenden.

Credits:
9.00
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