The European Economic Association

Data Carpentry for Economics

How do you:

  • Automate your work in Stata to make it more reproducible?
  • Make sure your coauthor can also run your Stata code?
  • Organise your data and code for better reuse?
  • Recover what changed since the previous version of the paper?

The Research Committee of the European Economic Association (EEA) invites you to participate in a workshop:

Data Carpentry for Economics
Sunday, August 23 (from lunch onwards) and Monday, August 24 (morning only)

The session will be chaired and introduced by Miklos Koren (CEU, Data Editor at the Review of Economic Studies, and member of the EEA Research Committee).

This is a Data Carpentry workshop for economists, covering best practices in using the command line, version control with Git, data wrangling in Stata, and effective coding 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 16 will be provided. 

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.

The event is open to members of the EEA. Participation and registration at EEA Rotterdam is not necessary to attend this workshop. However, as space is limited, please register by APRIL 30, 2020 by emailing

A light lunch will be served to participants before the session. There will also be a coffee break on the Sunday.

This event is organised by the Research Committee as part of their agenda to foster the use of high quality, innovative data by researchers in economics.

Last update February 09, 2020
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