Events of the Graduate Center

The DIW Graduate Center is pleased to offer a workshop on giving scientific presentations. It is designed for all doctoral students and researchers at the DIW who would like to improve their skills in talking in front of an audience. Please register with Laura Starck (lstarck@diw.de) by Novemver 1st, 2024 for the workshop. Please note: Registrations will be accepted on a first-come, first-served ...

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The DIW Graduate Center is pleased to offer a workshop on writing good texts for academic journals. It is designed for all doctoral students and researchers at DIW who would like to improve their English writing skills. Please register with Laura Starck (lstarck@diw.de) by November 1st, 2024 for the workshop. Please note: Registrations will be accepted on a first-come, first-served basis.

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A face to face interview is something every student will go through at some point in their career. In the academic job market, it is the central process to convince potential employers of your future research prospects. Outside academia the focus is less on research, but performing well in the interview is nonetheless essential to get the job you want. Handling a job interview successfully is not ...

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What this course is about: The study of nonlinearities permeates modern macroeconomics.This course will introduce tools to estimate the possibly nonlinear effects of various (possibly non-Gaussian) economic shocks. The tools/models we will cover come in two classes: 1. Models where nonlinearities and non-Gaussianity help to identify shocks2. Models where identification assumptions (such as ...

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The DIW Graduate Center is pleased to offer a workshop on Speed Reading and Deep Reading of Scientific Texts, taught by Sabina Lammert. The workshop lasts one and a half days, and can host up to 14 persons. Please register with the Graduate Center (gradcenter@diw.de) by June 30, 2024. Registrations will be accepted on a first-come, first-serve basis. Course Description: Reading is not just reading ...

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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 ...

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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 ...

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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 ...

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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 start ...

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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 ...

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We are soliciting the first ARGE MASTERCLASS for doctoral Students and Postdoctorates of members of the ARGE (Arbeitsgemeinschaft deutscher wirtschaftswissenschaftlicher Forschungsinstitute). The Masterclass consists of a combination of lecture and four presentations. The Masterclass is given by Christiane Baumeister (University of Notre Dame; NBER; CEPR). Structural vector autoregressions are the ...

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We are soliciting the first ARGE MASTERCLASS for doctoral Students and Postdoctorates of members of the ARGE (Arbeitsgemeinschaft deutscher wirtschaftswissenschaftlicher Forschungsinstitute). The Masterclass consists of a combination of lecture and four presentations. The Masterclass is given by Christiane Baumeister (University of Notre Dame; NBER; CEPR). Structural vector autoregressions are the ...

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This course aims at giving tools to students for entering the frontier of research regarding two new lines of research: (a) models of wealth-inequality determinants and dynamics, and (b) models of financial stability. The focus will be on presenting general-purpose analytical and computational techniques that enable students to replicate and extend frontier-research papers in these areas. The ...

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The DIW Graduate Center is pleased to offer a Masterclass on causal machine learning, taught by Michael Knaus. It is designed for all doctoral students and researchers at the DIW who would like to improve their understanding of machine learning and data science more broadly. The Masterclass lasts one day. Please register with the Graduate Center on a first-come, first-served basis: gradcenter@diw.de

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The DIW Graduate Center is pleased to offer a workshop on writing good texts for academic journals, taught by Tim Korver. It is designed for all doctoral students and researchers at DIW who would like to improve their English writing skills. We offer a 1.5-day course on May 8 and 9 and we can host up to 12 persons. Please register with the Graduate Center (gradcenter@diw.de) by April 28, 2023. ...

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The DIW Graduate Center is pleased to offer a workshop on best practices of time management in doctoral research, taught by Dr. Simon Golin on May 4th, 2023, from 9am to 4pm. It is designed for all doctoral students and researchers at DIW who would like to improve their time management skills. The workshop can host at most 16 participants. Please register with the GC (gradcenter@diw.de) by April 2 ...

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Content:  A quick review of the panel SF models (True Random effects, 4 component models) Address endogeneity of regressors(i) a two-step approach sing expect profit max framework(ii) A single-step approach using IV Spatial SF production models with dependence via(i) output(ii) Input(s)(iii) noise term(iv) inefficiency Examples of spatial models that I plan to go through(i) crime underreporting ...

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Expectations about the future play a central role in any model of decision-making under uncertainty, and are of particular importance in macroeconomis, labor economics and political economy. This planned GC Masterclass has the goal to equip its participants with an overview of state-of-the-art methods to measure beliefs and expectations, design information interventions and design outcomes to ...

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Neben täglichen Belastungssituationen kommen weitaus komplexere Anforderungen auf Mitarbeitende zu, die häufig zu Fehlbelastungen führen. In diesem Workshop geben wir einen Einblick in die Stresstheorie und analysieren individuelle Antreiber, die stressverstärkend wirken. Gleichzeitig werden stressreduzierende Bewältigungsstrategien vermittelt, die Beschäftigte während der Tätigkeiten am  ...

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On December 1st, the annual Graduate Center Winter Workshop will take place in the Ostrom Hall of DIW Berlin. We will hear presentations from GC students and GC alumni will present current research or share some insights from their new jobs.

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