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155 results, from 1
  • Graduate Center Masterclasses

    Effects of Shocks in Nonlinear and Non-Gaussian Environments

    Further information will follow soon.

    07.10.2024| Christian Matthes
  • Personnel news

    Stephanie Ettmeier has successfully defended her dissertation

    Stephanie Ettmeier was recently a research assistant in the Macroeconomics Department and received her doctorate with her dissertation titled "From Policy to Practice: Applying Empirical Analysis and Historic Contexts to Understand Fiscal and Monetary Policy, and their Interaction" on May 15. Her supervisor was Alexander Kriwoluzky, Head of the Department of Macroeconomics. Congratulations!

    31.05.2023
  • Personnel news

    Matteo Targa has successfully defended his dissertation

    Matteo Targa has successfully defended his dissertation "Empirical Essays on Inequality" supervised by Carsten Schröder at Freie Universität Berlin. Congratulations!

    16.05.2023
  • Personnel news

    Mara Barschkett has successfully defended her dissertation

    Mara Barschkett has successfully defended her dissertation titled "(Unintended) consequences of social and family policies on health and well-being: Five Essays in Health and Family Economics" supervised by C. Katharina Spieß (1. supervisor) and Peter Haan (2nd supervisor) at Freie Universität Berlin. Congratulations!

    16.05.2023
  • Personnel news

    Annekatrin Schrenker has successfully defended her dissertation

    Annekatrin Schrenker, recent Research Assistant in the Public Economics Department, received her doctorate from the Free University of Berlin on May 12. Georg Weizsäcker (formerly the Dean of Graduate Studies of the Graduate Center) and Peter Haan (Head of the Public Economics Department) supervised her dissertation titled "Essays in Applied Economics.” We warmly congratulate her!

    16.05.2023
  • Graduate Center Masterclasses

    Heterogeneous Agent Macroeconomics: Methods and Applications

    The course provides participants with the tools to develop and analyze business cycle models with heterogenous agents. This class of models has become the new standard in the business cycle literature and allows to analyze the interaction of the business cycle and the distribution of consumption, income, and wealth. The focus of the course is on numerical methods. Coding exercises in class are an...

    12.07.2023| Ralph Lütticke
  • Graduate Center Short Course

    Transition and Duration Models

    Objectives Students will study models of transitions and durations, and learn how to estimate these using realworld data.   Outline This course is an introduction to modelling transitions into a state of interest (such as the transition into employment from unemployment) and durations (such as unemployment, survival of patients after medical treatment or firms after a financial crash). We...

    30.10.2023| Christian Schluter
  • Graduate Center Masterclasses

    Electricity Market Design

    The course in a tweet. This is an advanced course on electricity markets: forward, spot, balancing and retail. It is a course at the intersection of energy, economics and finance that focuses on public policy and regulation: how should power markets be designed with security of supply and social welfare in mind? The significance of electricity markets & trading. Electricity markets and the...

    22.01.2024| Lion Hirth
  • Graduate Center Masterclasses

    Empirical Methods for Business-Cycle Analysis

    This course aims to bring participants to the research frontier on how to estimate the causal effects of macroeconomic shocks, with a particular focus on monetary and fiscal policy. We will discuss how to: plausibly identify those shocks; best estimate their causal effects in finite samples; and finally use those shock causal effects for macroeconomic policy evaluation. The analysis throughout...

    13.05.2024| Christian Wolf
  • Graduate Center Masterclasses

    Bayesian Approaches to the Analysis of Panel Data

    This course provides a self-contained introduction to Bayesian analysis of panel data models. We will start with an introduction to Bayesian inference, covering the basic building blocks, which involve inference in a heteroskedastic linear regression model and Gibbs sampling to generate draws from the posterior distribution. Moreover, we will consider nonparametric inference. We then proceed with...

    04.06.2024| Frank Schorfheide
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