34th Annual Congress of the European Economic Association
72nd European Meeting of the Econometric Society

The scientific programme will be released on June 20.




Since EEA-ESEM 2017, the last morning of the Congress is dedicated to workshops and panels. 

The following workshops and panels have been organised by the EEA:
09:00 - 16:00
Data Wrangling for Economists with Stata and the Command Line
Organiser: Miklós Koren

This is a pilot Data Carpentry workshop for economists, covering an introduction to the command line, data wrangling in Stata, and effective coding practices in Stata. Topics include running do files from the command line, reading and writing various data formats, handling data quality (missing values, text data), transforming data using collapse, reshape and merge, and easy-to-read, modular coding with expressive variable names, commands and for loops.

Bring your own laptop. You will engage in live coding and receive continuous feedback from instructors and other learners. Some familiarity with Stata is assumed, but no prior programming experience or econometrics background are needed. If necessary, a short-term license of Stata 15 will be provided. Space is limited, so please register at July 15 by emailing congress@eeassoc.org.

The EEA is a supporting member of The Carpentries, a non-profit organisation providing researchers high-quality, domain-specific training covering the full lifecycle of data-driven research.

09:00 - 10:30

ERC Grant Proposal Writing
This session offers a mentoring and training workshop for ERC grant preparation. The session will start with a panel discussion on the ins and outs of ERC grant preparation, with the viewpoints of the ERC as well as recent successful ERC applicants. This will be followed by a hands-on session where potential applicants have the opportunity to discuss their application and strategy with recent ERC recipients, individually or in small groups.

This year's panel will consist of:

  • Libertad Gonzalez (Universitat Pompeu Fabra and Barcelona GSE)
  • Rachel Griffith (University of Manchester and Institute for Fiscal Studies)
  • Holger Herz (University of Fribourg)

Small Group Sessions:

  • Ruben Durante  (Universitat Pompeu Fabra and Barcelona GSE)
  • Libertad Gonzalez (Universitat Pompeu Fabra and Barcelona GSE)
  • Rachel Griffith (University of Manchester and Institute for Fiscal Studies)
  • Nezih Guner (CEMFI)
  • Holger Herz (University of Fribourg)
  • Kjetil Storesletten (University of Oslo)


11:00 - 13:00

Populism: Economic and Political Consequences and Policy Implications
Organisers: Ruben Durante and Massimo Morelli
Panellists: Andre Sapir, Abdul G. Noury, Massimo Morelli, Ruben Durante


Activating Economics Teaching
The session will be concerned with changes in the practice of economics teaching. We will be looking at various types of active teaching and learning that are emerging or increasingly used within economics teaching including motivational sequencing with the CORE curriculum, classroom games, the use of flipping and other uses of technology.
Speakers: Ralf Becker (University of Manchester), Alvin Birdi (University of Bristol) and Humberto Llavador (Universitat Pompeu Fabra)


The ES will be holding the Griliches lectures.

Speaker : Robert Shimer (University of Chicago)

Title: Theory and Measurement in the Labor Market

Topic: We have seen an enormous increase in available labor market data in recent years, which in turn has encouraged the belief that we can understand the world by looking at data in a nonstructural or a theoretical way. These lectures will discuss recent research that critically assesses that view. Any approach to summarizing large datasets must make some assumption about which data moments are most informative. Assumptions that are convenient, such as linearity or additive separability, may be inconsistent with standard economic theory and may give misleading results if the standard theory is correct. These lectures will illustrate this with both microeconomic and macroeconomic applications, examining questions like the sorting of workers and firms, the determinants of unemployment duration, and shifts in the matching function over time.

Last update June 18, 2019
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