LDI Replication project hiring Undergraduate Data Editors - Filled

Labor Dynamics Institute
Wednesday, October 9, 2019

The job posting is filled; please check back later in the semsester to see our Summer posting.

We are looking for up to 10 students to work on the LDI-based AEA Data Editor team as undergraduate research interns.

  • Contact: Send your CV to ldi@cornell.edu, mentioning "LDI Replication Project".

  • Remuneration: An hourly rate commensurate with experience will be offered. $12.00 per hour, approximately 10 hours per week.

  • Goal: Ensure that supplementary materials for articles in a journal with a replication policy are (a) accessible (b) reproduce the intended results, document results and findings.

Work description

The American Economic Association (AEA) monitors compliance with its Data and Code Availability through the work of the AEA Data Editor. Team members will access pre-publication materials provided by authors, and validate the ability of these materials to reproduce the results published in the manuscript or article. The provided materials and instructions will be assessed using a checklist. Authors’ instructions will be followed (if possible), and success or failure to (i) perform the analysis (ii) replicate the authors' results will be documented. Other related activities, such as literature search or tabulation of results, may also be assigned. Team work is encouraged, and activity will be supervised by graduate student or faculty member. Team members must be at ease working in various computer environments (Windows Remote Desktop, local laptops) and software tools (statistical software, Git). This is ongoing work, and conditional on satisfactory work, renewal for subsequent summer or fall terms is possible and desirable.


Open. Student status with Cornell is required.

Necessary qualifications

Some experience with empirical social science data analysis using statistical software is required. Knowledge of at least one of Stata, SAS, R or Matlab is required, as is familiarity with the Windows Desktop environment. Experience with Git and the command line (Linux, Mac, or Powershell) are assets. Applicants must be current Cornell students.


Attendance on campus for an all-day training session on January 17th, 2020, is compulsory. Weekly attendance of a coordination meeting is required.


Day-to-day presence on campus is not required for the actual work (all computer work will be performed on remotely accessible servers). Occasional absences (and participation by videoconference) is acceptable, but should be an exception.