Calendar

All upcoming events of DIW Berlin.
3 March 2017

DIW Applied Micro Seminar Policy Uncertainty and Social Security Reform

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Speaker
  • Ben Etheridge, University of Essex

  • Inviter
    Time
    13:15-14:30
    Location
    DIW Berlin (Eleanor-Dulles-Raum) DIW Berlin im Quartier 110 Mohrenstraße 58 10117 Berlin
    Contact(s)
    at DIW Berlin
    Tel.: +49 30 89789 210
    Tel.: +49 30 89789 165
    Tel.: +49 30 89789 673
    6 to 10 March 2017

    Workshop 46th GESIS Spring Seminar: Causal Inference with Observational Data
    Week 1: Causal Analysis with Panel Data: Potentials and Limitations

    Course description

    Longitudinal data is widely discussed as an important means to validate causal interpretations. This course introduces the basic methods suitable to exploit this potential of panel data. We start with methods for categorical independent variables. Here, we introduce the simple Life Event Design (LED) and explain how this is related to the Difference-in-Difference Estimator (DiD). If the independent variable is measured on a metric scale, social scientists usually employ regression techniques, which is also the case for longitudinal data. Therefore, we discuss extensions of the simple regression framework addressing the properties and potentials of longitudinal data. Concretely, we introduce Fixed Effects (FE), First Differences (FD), and Hybrid Regression Models (HM) and discuss the differences and assumptions of these techniques. For research questions with categorical dependent variables, we introduce two applications of logistic regression suitable for the analysis of longitudinal data: the Conditional Logistic Regression, which resembles the benefits of FE, and techniques of Event History Analysis (EHA), which are particularly suitable if the researcher explicitly focuses transitions of the dependent variable. In all parts of the course, we put a strong emphasize on the intuitive understanding of the methods employed. All exercises are based on the data from the Socio Economic Panel Study (SOEP), which will be introduced during the course.

    Keywords
    Panel data analysis, fixed effects regression, event history analysis, hybrid regression, conditional logistic regression.

    Target group
    Participants will find the course useful if they

    • have basic quantitative skills and want to add an extra qualification totheir methodological knowledge,
    • are planning empirical projects on the basis of longitudinal data,
    • are pursuing a career as empirical social scientist and have not yetlearned how to analyze panel data.

    Learning objectives
    By the end of the course participants will

    • be familiar the potential and limitations of longitudinal data to improve causal interpretations,
    • have the ability to make accurate methodological choices in particular research situations involving longitudinal data,
    • know how to apply the most important longitudinal techniques in theory and practice (on the basis of the statistical software stata, have a good overview on the analytical potential for longitudinal analysis of the German Socio Economic Panel (SOEP).


    Prerequisites
    This course addresses beginners of panel data analysis. However, participants should have a solid knowledge of OLS and logistic regression techniques.
    We will use the software program Stata in the exercises. Participants be familiar with the basics of Stata, its commands to manage data, and know how to produce descriptive and multivariate statistics.

    Participation Fees
    One week courses:

    • € 250    Student rate
    • € 350    Academic/non-profit rate
    • € 700    Commercial rate
    • € 50      ECTS points

    For more information, please check the GESIS website.

    Speaker
  • Prof. Dr. Michael Windzio (mwindzio@uni-bremen.de)

  • Location
    GESIS Leibniz-Institut für Sozialwissenschaften Unter Sachsenhausen 6-8 50667 Köln
    Contact(s)
    at DIW Berlin
    Tel.: +49 30 89789 503
    Contact(s)
    external
    Scientific coordination by Reinhard Schunck: Reinhard.Schunck@gesis.org

    Administrative coordination by Angelika Ruf: angelika.ruf@gesis.org
    6 March 2017

    Berlin Applied Micro Seminar Entry, Career Dynamics and Worker Quality in the Labour Market for Talent

    BAMS is a joint seminar by the DIW, the Hertie School of Governance and the WZB.

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    Speaker
  • Stefan Szymanski, University of Michigan

  • Inviter
    Time
    16.00 - 17.15
    Location
    DIW Berlin (Schumpeter Hall) Mohrenstr. 58 10117 Berlin
    17 March 2017

    DIW Applied Micro Seminar University Selectivity and the Graduate Wage Premium: Evidence from the UK

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    Speaker
  • Ian Walker, Lancaster University

  • Inviter
    Time
    13:15-14:30
    Location
    DIW Berlin (Eleanor-Dulles-Raum) DIW Berlin im Quartier 110 Mohrenstraße 58 10117 Berlin
    Contact(s)
    at DIW Berlin
    Tel.: +49 30 89789 210
    Tel.: +49 30 89789 165
    Tel.: +49 30 89789 673
    4 to 5 May 2017

    Workshop Finance and Development 2017

    Attendance by invitation!

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    Location
    DIW Berlin (Schumpeter Hall) Mohrenstr. 58 10117 Berlin
    Contact(s)
    at DIW Berlin
    Tel.: +49 30 89789 436
    1 June 2017

    Conference 2nd annual BCCP Conference
    Regulatory Challenges in Digital Markets: Algorithms and Platform Competition

    The tremendous growth of digital transactions – mainly through online platforms – has profoundly affected the way we interact and has opened vast opportunities to improve our lives. The disruptive impact of this process is driven by one core feature: its ability to reduce inefficiencies. Consumers have benefited from an unprecedented proliferation of new services and products that previously were simply too costly to be developed and marketed to customers. At the same time, network effects in platform business models have brought market power concerns back to the front stage. Who reaps the largest benefits and profits in super-efficient online markets? Consumers? Innovative firms? Incumbent firms? This conference aims to tackle these questions and discuss the need for and appropriateness of policy interventions in such quickly evolving markets. We especially will focus on regulatory issues related to the development of sharing economy platforms and the increased use of algorithms.

    Online registration is now open at this link

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    Time
    9.45 a.m. - 5.00 p.m.
    Location
    WZB - Wissenschaftszentrum Berlin für Sozialforschung Reichpietschufer 50 10785 Berlin
    Contact(s)
    at DIW Berlin
    Tel.: +49 30 89789 181
    12 to 13 June 2017

    Graduate Center Masterclasses Identification of SVARs form a Bayesian perspective

    Speaker
  • Juan F. Rubio-Ramírez, Department of  Economics, Emory University

  • Time
    14:00-17:30(12.06.)
    Schumpeter Hall,  09:00-12:30(13.06.)
    Friedensburg Room 2.2.008
    Location
    DIW Berlin (Schumpeter Hall) Mohrenstr. 58 10117 Berlin
    Contact(s)
    at DIW Berlin
    Tel.: +49 30 89789 460
    22 to 23 June 2017

    Graduate Center Masterclasses Partial Identification: Theory and Applications

     

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    Speaker
  • Thierry Magnac, Toulouse School of Economics

  • Time
    14:00-17:30(22.06.)
    09:00-12:30(23.06.)
    Location
    DIW Berlin (Schumpeter Hall) Mohrenstr. 58 10117 Berlin
    Contact(s)
    at DIW Berlin
    Tel.: +49 30 89789 460
    23 June 2017

    DIW Applied Micro Seminar Business Owners, Employees and Firm Performance

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    Speaker
  • Mika Maliranta, ETLA & University of Jyväskylä

  • Inviter
    Time
    13:15-14:30
    Location
    DIW Berlin (Eleanor-Dulles-Raum) DIW Berlin im Quartier 110 Mohrenstraße 58 10117 Berlin
    Contact(s)
    at DIW Berlin
    Tel.: +49 30 89789 210
    Tel.: +49 30 89789 165
    Tel.: +49 30 89789 673
    5 to 6 October 2017

    Graduate Center Masterclasses Bayesian Methods for Empirical Macroeconomics

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    Speaker
  • Gary Koop, University of Strathclyde

  • Time
    16:00-17:30(05.10.) 09:00-12:30(06.10.) 14:00-15:30(06.10.)
    Location
    DIW Berlin (Schumpeter Hall) Mohrenstr. 58 10117 Berlin
    Contact(s)
    at DIW Berlin
    Tel.: +49 30 89789 460