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.

Thursday,
09:00am to 12:00pm
at HU Berlin, Spandauer Straße 1, Room 23
Description:

Advanced Experimental Economics introduces the methods and models used in
analyses of economic experiments. The focus will be on structural models
used to estimate utility functions, belief hierarchies, and subject
heterogeneity. The course covers the numerical and econometric methods
required to conduct structural analyses and the current behavioral
approaches to model utilities and beliefs. Methods and models are
developed in relation to standard experimental games and code examples
illustrate their application on actual data. The topics include the
estimation of social preferences in non-strategic environments (such as
dictator games), the estimation of beliefs in normal-form games of
complete information, the estimation of preferences and beliefs in
strategic games (such as ultimatum and public goods games), the estimation
of beliefs and updating errors in games of incomplete information (such as
auctions), and the estimation of strategies in repeated games.

In the first ten meetings, I cover these topics in lectures. During these
meetings, the participants are being assigned topics for their later term
paper. The topics relate to those discussed in class, and the term paper
involves analyzing existing data using the discussed methods. In the
remaining five weeks, you will present your term papers (up to three
presentations per week). Presentations will be organized so that everybody
has at least six weeks from assignment of topic to presentation of
results.

Literature: (Background reading)
M. J. Osborne and A. Rubinstein. A course in game theory, 1994. MIT Press.
C. F. Camerer. Behavioral game theory, 2003. Princeton University Press.
K. L. Judd. Numerical methods in economics, 1998. MIT Press.
K. Train. Discrete choice methods with simulation, 2009 (2nd edition).
Cambridge University Press.
C. A. Holt. Markets, games and strategic behavior, 2006. Addison Wesley.

Exam:
The course is classified as seminar, students are evaluated based on a term paper (80%) and a classroom
presentation (20%).

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Saturday, 09:00am to Monday, 04:00pm
at HU Berlin, Spandauer Str. 1, Room 220
Description:

This course is for students that have to repeat or refresh some mathematics in preperation for the master oder phd courses.

Click here to get more information or to sign up
Instructor:
Tuesday,
03:00pm to 06:00pm
at FU Berlin, Dahlem, Garystr. 21, Room 106
Description:

The aim of microeconometrics is to analyze individual behavior on the basis of micro data (crosssection 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 microdata and the software package STATA.

Literature:
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

Exam:
final exam, research paper

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 23
Description:

Our internal Brown Bag seminar is open to all BDPEMS and RTG students. We recommend taking part from the second year on.

The seminar was initiated by the BDPEMS board as a traditional lunch seminar and is organized by the students themselves. It is integrated into the schedule of the "Brown Bag Seminar Macroeconomics" and takes place every other Wednesday from 12:00 to 2 p.m.

If you have any questions or if you would like to hold a presentation, please refer to one the organizers: simon.voigts@googlemail.com.

The dates and presentations for the fall term will be published in due time.

20.11. nn
04.12. nn
18.12. nn
08.01. Jessica Oettel: "The Labor Market Impact of Minimum Wages in Germany 1995-2010 – Evidence from the German Main Construction Sector"
15.01. nn
29.01. nn
12.02. Mikhail Leonov

Credits:
0.00
Click here to get more information or to sign up
Instructor:
Wednesday,
09:00am to 01:00pm
at ESMT, Schlossplatz 1
Friday,
09:00am to 01:00pm
at ESMT, Schlossplatz 1
Description:

Prerequisite:

To attend this class students must have completed the core micro courses (Microeconomics 1 and 2).

This course presents psychological and experimental research in economics indicating departures from perfect rationality, self interest, and other classical assumptions of economics. To do so, a variety of empirical results are discussed. The course, however, focuses on different ways of how these departures from the standard assumptions can be formally modeled. It also discusses the implications of these formal behavioral models for positive and normative predictions in different institutional settings. The course has three aims: (i) familiarizing students with the lively debate in experimental and behavioral economics; (ii) providing them with the methodological competence necessary to understand and judge original empirical research; (iii) provide formal tools for using so-called behavioral approaches in other areas of economics.

Literature:

There is no standard textbook in behavioral economics and the course is not based on a given textbook. Instead, students are expected to read original papers. Nevertheless, a good starting point is: Kahneman, Daniel and Amos Tversky. Choices, Values and Frames, New York: Russell Sage Foundation; Cambridge, U.K.; New York: Cambridge University Press, 2000.

Details of grading / exams depend on the number of participants and will be discussed in the first session.

The course will take place on the following dates: 16.10., 18.10., 06.11., 08.11., 20.11., 22.11., 27.11., 29.11., 04.12., 06.12., 11.12., 13.12., 18.12., 20.12.
Room number 00.21, ESMT Learning Center (room numbers for sessions on 20.11. and 22.11. to be confirmed)

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 202
Tuesday,
12:00pm to 02:00pm
at HU Berlin, Spandauer Str. 1, Room 202
Thursday,
02:00pm to 04:00pm
at HU Berlin, Spandauer Str. 1, Room 202
Description:

This course is for students with lacking econometric background.

Econometrics I for Beginners: Master Course “Econometric Methods”, 9 ECTS
Econometrics II, 9 ECTS
6 ECTS in a further econometrics course in 3rd semester

To study the beginner’s track, get the approval by Dr. Bernd Droge droge@wiwi.hu-berlin.de (short application justifying lacking econometric background).

Lecture:

Mon. 10-12 a.m., Tue. 12-2 p.m.

Tutorial:

Thu. 2-4 p.m., Fri. 12-2 p.m.

Estimation and testing in the general linear model, generalized least squares estimation, asymptotic theory, nonlinear regression models, stochastic regressors, instrumental variable estimation, method of moments.

Literature:

Davidson, R. and MacKinnon, J.G. (2004): Econometric Theory and Methods, Oxford University Press.
Hayashi, F. (2000): Econometrics, Princeton University Press.

Exam: written exam

Credits:
9.00
Click here to get more information or to sign up
Instructor:
Friday,
09:00am to 12:30pm
at DIW
Description:

The course deals with advanced estimation techniques in modern econometrics and standard single equation and systems of equations models.
It covers time series as well as microeconometric methods.

Credits:
9.00
Click here to get more information or to sign up
Instructor:
Tuesday,
10:00am to 12:00pm
at HU Berlin, Spandauer Str, 1, Room 220
Thursday,
12:00pm to 02:00pm
at HU Berlin, Spandauer Str. 1, Room 203/PC-Pool 025
Description:

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.

Literatur:
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; 3/4 of final grade) and assignments (1/4 of final grade)

Credits:
9.00
Click here to get more information or to sign up
Instructor:
Monday,
12:00pm to 02:00pm
at HU Berlin, Spandauer Str. 1, Room 202
Thursday,
06:00pm to 08:00pm
at HU Berlin, Spandauer Str. 1, Room 22
Friday,
10:00am to 12:00pm
at HU Berlin, Spandauer Str. 1, Room 202
Description:

Processes of real economic integration via growth convergence, trade, factor mobility and fiscal transfers: theoretical and political
dimensions of the economic integration of Europe; rationales for European Monetary Union; the theory of optimal currency areas;
the European Central Bank, fiscal and monetary policy in a currency union; the impact of the banking and sovereign debt crises
on the financial stability of the Eurozone.

Literature:
Baldwin and Wyplosz, The Economics of European Integration, ausgewählte Literatur aus Fachbüchern und –zeitschriften

exam:
written exam (90 min)

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Wednesday,
10:00am to 12:00pm
at Dorotheen Strasse 1, Room 05
Description:

The course focuses on Financial Economics through the lens of standard, neoclassical paradigm that postulates that
prices of assets must be determined by marginal utility of the investors. This simple idea has proven extremely
useful in explaining numerous asset pricing facts, but many puzzles remain unsolved, or at least there is no
consensus with respect to the fundamental reasons of why we observe some well-known, real-world phenomena
(like value premium, or profitability of momentum strategies). Much of the recent literature focuses therefore on the
extensions of the standard model, some of which are more plausible (frictions), and some less (large deviations from
investor rationality). But to understand the extensions, it is crucial to know the core, and the best papers are those,
which explain facts using as few departures from the neoclassical world as possible.

Starting: October 23, 2013

Credits:
6.00
Click here to get more information or to sign up
Wednesday,
02:00pm to 04:00pm
at VWS 128, Schleuseninsel, TU Berlin, Müller-Breslau-Str. 15
Description:

The ability to innovate ensures the competitiveness of high-income countries
and its enterprises. At the same time innovations question the classical
economic equilibrium models.

The course intends to shed light on different typologies of innovations,
also considering multiple methodologies of empirical research in innovation
economics. The second part of the course deals with different explanatory
approaches of innovation economics: amongst others neo-classical,
evolutionary and historic-institutional ones.

The course studies both theoretical models and their empirical application,
changing between micro and macro-economic perspectives.

Literature:
G. M. P. Swann (2009): The Economics of Innovation; P. Stoneman
(2002): The Economics of Technological Diffusion; Schumpeter (1911): A
theory of economic development; Schumpeter (1939): Business Cycles;
Schumpeter (1942): Capitalism, socialism and democracy; K. J. Arrow (1959):
Economic Welfare and the Allocation of Resources for Invention, NBER Working
Paper 1856; V. Sena (2004): The Return of the Prince of Denmark: A Survey on
Recent Developments in the Economics of Innovation, The Economic Journal
114, F132-F332; Nordhaus (1962): Invention, Growth and Welfare; R. Nelson
and S. Winter (1982): An Evolutionary Theory of Economic Change; P. A.
Geroski (2000): Models oftechnology diffusion, Research Policy 29, pp.
603–625

Exam:
Written exam plus homework assessment/presentation.

Credits:
6.00
Click here to get more information or to sign up
Friday,
02:00pm to 04:00pm
at DIW Berlin, Mohrenstr. 58, 10117
Description:

The course develops core models of international finance, and surveys selected topics in international financial markets; exchange rates and purchasing power parity; international CAPM; equity and bond home biases; determinants of capital flows; sovereign debt crisis; speculative attacks and financial crises; contagion and financial linkages; exchange rate regimes and monetary policy choices; and the stability of the international financial system.

Instructor:
Prof. Marcel Fratzscher, Ph.D.

Time and Venue:
The course takes place generally Fridays from 14:00-16:00 at DIW Berlin. Some exceptions may apply and will be communicated well ahead of time.

Requirements and Grades:
Students will be assessed on the basis of three elements; first, an essay/brief term paper (30%) and presentation thereof (20%) addressing a specific question/paper in an area of choice; second, an empirical exercise with data using an econometric software (50%).

Click here to get more information or to sign up
Instructor:
Wednesday,
08:30am to 12:00pm
at DIW (Schumpeter Hall/Dulles Room), Mohrenstraße 58, 10117 Berlin
Description:

Contents Prof. Burda: Methods of modern macroeconomics for researchers in the field. Stationary Markov environments, state-space methods, stochastic difference equations. Dynamic programming and Lagrangian methods, Complete markets, Dynamic stochastic general equilibrium models, Solution techniques. Empirical consequences of macroeconomic shocks; structural estimation, the Ramsey problem.

Contents Prof. Weinke: This course develops dynamic stochastic general equilibrium (DSGE) models and uses them for positive and normative macroeconomic analysis. To this end a number of theoretical and empirical concepts are presented. Examples include the computation of impulse response functions, structural vector autoregressions, as well as an introduction to structural estimation. On the normative side the concept of Ramsey optimal policy is presented.

Literature for Prof. Burda's part:

Ljungqvist and Sargent, Recursive Macroeconomics, 2nd edition (Cambridge, USA: 2004) Chapters 2-4
selected journal articles

Literature for Prof. Weinke's part:

chapters 8 and 15 of Ljungqvist and Sargent, Recursive Macroeconomics, 2nd edition (Cambridge, USA: 2004)
selected articles, e.g., Galí, Jordi and Pau Rabanal (2004), Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?, in: NBER Macroeconomics Annual.

Exam:
Written (90 minutes)

Credits:
9.00
Click here to get more information or to sign up
Instructor:
Thursday,
08:45am to 11:45am
at ESMT, Schlossplatz 1
Description:

Please note that the sessions start at 8:45am s.t.
Location: ESMT Learning Center Seminar Room 00.21 (Session on 21.11.13 will take place in room 'Bookshop')

The Analysis of Economic and Social Networks - Part I:
Instructor: Linus Dahlander
Sessions: 17.10., 24.10. (Postponed: New date for this session is 07.11.13, 5-8pm), 31.10., 07.11., 14.11.13

The Analysis of Economic and Social Networks - Part II:
Instructor: Matthew Bothner
Sessions: 21.11.13, 23.01., 30.01., 06.02., 13.02.14

Sequential Decision Making Under Uncertainty:
Instructor: Francis de Véricourt
Sessions: 28.11., 05.12., 12.12., 19.12.13, 09.01., 16.01.14

Credits:
9.00
Click here to get more information or to sign up
Friday,
02:00pm to 05:00pm
at WZB, Room D112/113
Description:

This is a Ph.D. level course on Matching Market Design. The aim of the course is to provide PhD
students with the core knowledge on the field so that they can immediately start their own (theoretical or
experimental) research projects. For this reason, I will cover the most important results and go over the
proofs line by line, which enables students to understand the latest papers in the field.
Market Design concerns the creation of a venue in which buyers and sellers can meet and a format
through which they can interact. There are several applications for which market design has been quite
fruitful, the most notable ones being auction design and matching markets. As one of the most important
functions of markets, matching focuses on who gets what, particularly when the scarce goods are indivisible
and heterogeneous: for exampple, who gets which job at which firm, which buyer transacts with which
seller, which student goes to which school, or which patient gets which transplantable organ. Matching
Market Design aims to design a desirable matching procedure based on reported preferences in terms of
incentive compatibility, efficiency, and fairness.

Grading Requirements:

1. Attendance (20%)
2. Weekly assignments (40%): There will be an homework assignment weekly. Basically it is to prove some results.
I strongly recommend students to work together with your classmates. If so, please write their names explicitly.
3. Presentation (20%): I will list up recent papers. A student is supposed to choose one of them and present it once.
4. Research proposal (20%): Every student needs to write a research proposal in Matching. It can be on theory or
experiments. Please discuss your ideas with me.

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Monday,
12:00pm to 04:00pm
at HU Berlin, Theologische Fakultät, Room 26 (BU 26)
Description:

This course is devoted to the economic theory of preferences and choice, consumer choice, demand, production, market equilibrium, decision making under uncertainty, and game theory. The intention of the course is to familiarize students with the advanced tools of modern microeconomic theory.

Literature: Mas-Colell, Whinston, Green: Microeconomic Theory (1995).

Tutorials:
Tue. 12-2pm, room 21a (Philipp Heller)
Wed. 2-4pm, room 21b (Philipp Heller)
Thu. 2-4pm, room 21b (Johannes Johnen)

Exam:
4 written exams during the course,
1 final written exam

Credits:
9.00
Click here to get more information or to sign up
Instructor:
Friday,
08:00am to 12:00pm
at HU Berlin, Spandauer Str. 1, Room 203
Description:

Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets in the stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying theoretical structure of these and many other quantitative studies of applied sciences is multivariate. The course of Multivariate Statistical Analysis (MVA) describes a collection of procedures which involve observation and analysis of more than one statistical variable at a time.

Exam:
written exam (90 min)

Credits:
9.00
Click here to get more information or to sign up
Thursday,
10:00am to 12:00pm
at HU Berlin, Spandauer Str. 1, Room 21a
Description:

The course Non- and Semiparametric Modelling gives an overview over the flexible regression methods. The course starts with an introduction into the density estimation (histogram, kernel density estimation). Nonparametric regression methods and their applications are discussed. Furthermore additive models will be introduced in the course. At the end of the course the students will be able to implement methods to solve practical problems.

Literature:

Härdle, Müller, Sperlich, Werwatz (2004): Non- and Semiparametric Modelling, Springer
Fan, J. and Gijbels, I. (1996): Local Polynomial Modelling and Its Applications, Chapman and Hall, New York
Härdle, W. (1990): Applied Nonparametric Regression, Econometric Society Monographs No. 19, Cambridge University Press
Härdle, W. (1991): Smoothing Techniques, With Implementations in S, Springer, New York
Härdle, Klinke, Müller (1999): XploRe - Academic Edition, The Interactive Statistical Computing Environment, Springer, New York
Scott, D. W. (1992): Multivariate Density Estimation: Theory, Practice, and Visualization, John Wiley & Sons, New York, Chichester
Silverman, B. W. (1986): Density Estimation for Statistics and Data Analysis, Vol. 26 of Monographs on Statistics and Applied Probability, Chapman and Hall, London
Wand, M. P. and Jones, M. C. (1995): Kernel Smoothing, Chapman and Hall, London
Yatchew, A., (2003): Semiparametric Regression for Applied Econometrician, Cambridge University Press, Cambridge

Students can purchase the Professional Edition of XploRe and/or a bookset for a reduced price. For details please ask the lecturer or send an email to mdtech@mdtech.de.

Exam:
written

Credits:
6.00
Click here to get more information or to sign up
Monday,
09:00am to 04:00pm
at HU Berlin, Hegelplatz 1, Seminargebäude, Room 1.403
Description:

Starting Date: October 7

Preliminary Outline:

--> Logic and Sets:
ˆ Logic: methods of proof
-Constructive proof
-Contrapositive proof
-Proof by contradiction
ˆ De Morgan's laws
ˆ Convexity

--> Functions:
ˆ Mappings: surjective, injective, bijective
ˆ correspondence: Upper and lower hemicontinuity
ˆ Continuity and dierentiability
ˆ Integration
ˆ Concavity and convexity (for multidimensional functions)
ˆ Quasiconcavity
ˆ Taylor's Theorem
ˆ Implicit Function Theorem
ˆ Homogeneous functions and Euler's formula

--> Sequences:
ˆ Metric and normed spaces
ˆ Convergence of sequences in metric spaces
ˆ Bounded and Compact sets
ˆ Limits of functions
ˆ Contraction Mapping Theorem
ˆ Extreme Value Theorem
ˆ Separating Hyperplane Theorem
ˆ Fixed Point Theorems

--> Matrix Algebra:
ˆ Addition, subtraction, multiplication
ˆ Trace, determinant, rank
ˆ Inversion
ˆ Positive deniteness
ˆ Eigenvalues, Eigenvectors
ˆ Diagonalization, Jordan decomposition, Choleski decomposition
ˆ Matrix dierentiation, Kronecker products, vectorization

--> Complex numbers:
ˆ sin, cos functions
ˆ De Moivre's Theorem

--> Additional Topics:
ˆ Unconstrained optimization
ˆ Constrained optimization
ˆ Linear programming
ˆ Dynamic programming

Click here to get more information or to sign up
Instructor:
Monday,
10:00am to 12:00pm
at TU Berlin, Straße des 17. Juni 135 (Hauptgebäude), Room H 5143a
Description:

There will be an additional tutorial, reading course for Ph.D. students (1 hour).
Time slot will be discussed in the first session of the lecture in order to account for the Ph.D. students¹ preferences

The course discusses aspects of international taxation from a public economics point of view. The focus is on capital tax competition between jurisdictions (countries, states, municipalities). The students gain insights into the reasons for the inefficient provision of public goods due to detrimental tax competition and become acquainted with policy instruments to mitigate tax competition.
We also address other issues like, e.g., commodity tax competition, international profit shifting (tax planning) of multinational firms and taxation of foreign profits.

Syllabus:
- Basic principles of international taxation
- Basic framework of capital tax competition and harmonization
- Tax competition and foreign firm ownership
- Tax competition and fiscal equalization
- (Further) Reasons for inefficient overtaxation
- Taxation of foreign profits of multinational firms
- Profit shifting of multinational firms
- Separate Accounting versus Formula Apportionment in corporate taxation
- Preferential tax regimes in international taxation
- Commodity tax competition

Literature: A reading list is provided in the first session of the
lecture.

Exam:
One written exam at the end of the semester

Click here to get more information or to sign up
at tba.
Description:

This short course is organized by the RTG1659. It will take place from February 17 to 19, with a total of 9 lectures:

February 17
10:00-11:30am (room 112)
01:00-02:30pm (room 112)
03:00-04:30pm (room 112)

February 18
10:00-11:30am (room 112)
01:00-02:30pm (room 112)
03:00-04:30pm (computer room 026)

February 19
10:00-11:30am (room 112)
01:00-02:30pm (room 112)
03:00-04:30pm (computer room 026)

The maximum number of applicants is 20.

Credits:
4.00
Click here to get more information or to sign up
Instructor:
Friday,
02:00pm to 04:00pm
at HU Berlin, Spandauer Straße 1, Room 21b
Description:

The objective of the course is twofold. First, it familiarizes students with the most standard results and standard analyses of
regulation in product markets. The course addresses, in particular, regulatory issues due to market power and concentrates on
monopoly, merger regulation and anti-trust. Second, the course discusses regulatory issues that are directly related to the research
themes of the doctoral program, in particular environmental regulation and regulation in vertical relationships.

Course Outline:
I. Price and Monopoly Regulation (Strausz)
II. Regulation in Networks: interconnected networks and switching costs (Bedre-Defolie)
III. Regulation in Vertical Markets (Baake)
IV. Environmental Regulation (Schmidt)

Please note that the grades will be obtained throughout the course, there will be no exam at the end of the lecture period.

25.10.2013: Roland Strausz
01.11.2013: Roland Strausz
08.11.2013: Roland Strausz
15.11.2013: Özlem Bedre (Lecture starts at 14:00 sharp)
22.11.2013: Özlem Bedre (Lecture starts at 14:00 sharp)
29.11.2013: Özlem Bedre (Lecture starts at 14:00 sharp)
06.12.2013: Özlem Bedre (Lecture starts at 14:00 sharp)
13.12.2013: Pio Baake
20.12.2013: Pio Baake
10.01.2014: Pio Baake
17.01.2014: Pio Baake
24.01.2014: Robert Schmidt
31.01.2014: Robert Schmidt
07.02.2014: Robert Schmidt
14.02.2014: Robert Schmidt

Credits:
6.00
Click here to get more information or to sign up
Instructor:
Monday,
12:00pm to 02:00pm
at HU Berlin, Spandauer Straße 1 , 21b
Description:

The course covers a part of mathematical statistics which deals with the limiting behavior of different sample statistics, U-statistics, M-, L- and R-Estimates. This course gives better understanding for the basic tools learned in the elementary Statistics I and II, like Law of Large Numbers, Central Limit Theorem, Kolmogorov-Smirnov and Cramer-von-Mises tests, sample mean and sample variance behavior, etc. This course is laying a bridge between the probability theory and the mathematical statistics by manipulating with "probability" theorems to obtain "statistical" theorems. In the first part of the course we discuss basic tools of asymptotic theory in statistics: convergence in distribution, in probability, almost surely, in mean. We also consider main probability limit laws: LLN and CLT. Then we deal with the usual statistics computed from a sample: the sample distribution function, the sample moments, the sample quantiles, the order statistics. Properties, such as asymptotic normality and almost sure convergence will be derived in the lecture. Afterwards, comes the asymptotics of statistics concocted as transformations of vector of more basic statistics. Next part concerns statistics arising in classical parametric inference and contingency table analysis. These include maximum-likelihood estimates, likelihood-ratio tests, etc. Last part of the course treats U-statistics, statistics obtained as solutions of equations (M-estimates), linear function of order statistics (L-estimates) and rank statistics (R-estimates).

Literature:
Sering R.J. (1980) Approximation Theorems of Mathematical Statistics / Wiley.

Exam:
oral exam

Credits:
6.00
Click here to get more information or to sign up
Monday, 10:00am to Saturday, 05:00pm
at Humboldt-Universität, Wirtschaftswissenschaftliche Fakultät, Spandauer Strasse 1, 10178 Berlin
Description:

five-day workshop on Solving and estimating DSGE models
taught by Prof. Fabio Canova, PhD (European Univsersity Insititute, Florence)

March 17 - 21, 2014

Lectures:
Solving DSGE models (March 17)
ML estimation of DSGE models (March 18)
Bayesian estimation of DSGE models (March 19-20)

Presentations:
Workshop on dynamic macroeconomics (March 21)
Apply for one of the 10 slots by sending an extended abstract to email adress below. (Deadline: February 15)

Questions and applications: simon.voigts@googlemail.com
Participation free of charge, only PhD candidates, Post-docs, Assistant Professors and Professors. Master students in exceptional cases.

Credits:
3.00
Click here to get more information or to sign up
Instructor:
Tuesday,
10:00am to 12:00pm
at HU Berlin, Spandauer Str. 1, Room 21b
Description:

The course offers an overview of advanced statistical methods in quantitative finance and insurance which should be comprehensible for a graduate student in financial engineering as well as for an inexperienced newcomer who wants to get a grip on advanced statistical tools applied in these fields.

Credits:
6.00
Click here to get more information or to sign up
Monday,
04:00pm to 08:00pm
at HU Berlin, Spandauer Str. 1, Room 23
Description:

The course starts with an introduction into the basic concepts of option pricing and its probabilistic foundations. Next, stochastic processes in discrete time are presented and the Wiener process is introduced. Itô's Lemma is derived and the Black-Scholes (BS) Option model is presented leading to the analytic solution for the BS Option price. Numerical solutions via a binomial or trinomial tree constructions are discussed in detail.

Literature:

Franke, J., Härdle, W., and Hafner, C. (2011) Statistics of Financial Markets: an Introduction. 3rd ed., Springer Verlag, Heidelberg. ISBN: 978-3-642-16520-7 (599 p)
Härdle, W., Hautsch, N. and Overbeck, L. (2009) Applied Quantitative Finance. 2nd extended ed., Springer Verlag, Heidelberg. ISBN 978-3-540-69177-8 (448 p)
Hull (2005) Options, Futures, and Other Derivatives. 6th ed., Prentice Hall. ISBN 0-13-149908-4 (816 p)
Härdle, W., Simar, L. (2007) Applied Multivariate Statistical Analysis. 2nd extended ed., Springer Verlag, Heidelberg. ISBN 3-540-72243-4 (456 p)
Cizek, P., Härdle, W., Weron, R. (2011) Statistical Tools for Finance and Insurance. 2nd ed., Springer Verlag, Heidelberg. ISBN: 978-3-642-18061-3 (420 p)

Exam:
oral

Credits:
9.00
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Monday, 10:00am to Thursday, 04:00pm
at HU Berlin, Dorotheenstrasse 24, room 2402
Description:

Date: September 29 - October 2
Time: 10-12 and 3-4

Workers find jobs via personal acquaintances, firms collaborate to introduce new technologies, doctors prescribe new drugs based on conversations with colleagues, farmers learn about crops from neighboring farms, while pupils strive to conform to the work ethic of their peers at school. Our opportunities and our choices are shaped by the connections we have. The awareness that connections matter leads us to invest in them. And these investments give rise to networks of friendship, the world wide web, the network of collaboration
among firms, and many other networks which we see around us. These observations have inspired an exciting new research programme in economics which examines the origins and the implications of networks. The lectures in this course provide a rigorous introduction to this research.

For more details, please have a look at the syllabus.

Credits:
3.00
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Monday, 10:30am to Tuesday, 01:00pm
at Grimmzentrum, Auditorium, Geschwister-Scholl-Straße 1/3
Description:

Lecturer: Guido Imbens, Professor of Economics, Stanford Graduate School of Business

Monday
10:30 -12 Lecture 1
Lunch
13 -14:30 Lecture 2
Coffee
15-16:30 Lecture 3

Tuesday
10-13 Lecture 4

If you want to participate, please send a mail to case-dls2014@hu-berlin.de

More information here: http://www.case.hu-berlin.de/events/2014/DLS/index_html

Credits:
1.50
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Instructor:
Thursday,
10:00am to 12:00pm
at FU Berlin, Boltzmannstr. 20, Kaminzimmer
Description:

Each participant has to present in a detailed way an important recent research article and to actively discuss the presentations made by the other participants. Grades depend on presentation and discussion. The course in the winter term 2013-2014 deals with new developments in public economics related to inequality.

The papers are assigned in the first session on December 19th. A list of the relevant papers will be made available a couple of weeks before the start.

Credits:
6.00
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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, DIw Berlin, Mohrenstr.58, 10117 Berlin
Description:

January 23 and 24 2014

Prof. Dr. Christian M. Hafner from the Université catholique de Louvain (UCL) has been invited to give a GC Masterclass on the topic: Volatility Modelling and Risk Management. His research areas include time series econometrics, applied nonparametric statistics and empirical finance.
You can find his profile here:
http://perso.uclouvain.be/christian.hafner/

If you would like to join the masterclass, please drop me a note at ycao@diw.de

Click here to get more information or to sign up
Wednesday,
05:30pm to 08:00pm
at WZB, Reichpietschufer 50, 10785 Berlin, room A300
Description:

We would like to invite our new doctoral students to inform them about the structure of our program, how it works and to welcome you.

05:30 pm arrival
05:45 pm "How does BDPEMS work?" by Jenny Schmiedel and Verena Neumann (both coordinators)
06:30 pm "Welcome" by Prof. Dr. Alexandra Spitz-Oener (director)
07:00 pm end of formal part, drinks and snacks

Please sign up for this event by September 25.

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