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  • Introduction

Overview

  • Background

Preliminary Tasks

  • Pre-requisites
    • Pre-training tasks
    • Toolkit

Basics

  • Basic Concepts
  • Reproducible practices
  • The README template
  • Data citations and data availability statements
  • Generic data workflow
  • Assessing computational reproducibility
  • A guided walk through the Replication Report

AEA-specific Jira Workflow

  • AEA Jira workflow
    • Assigned
    • Creating a repository and running pipeline
    • In Progress
    • Preparing Part A - Preliminary Report
    • Preparing to Run Code (Part B)
    • Running Code (Part B)
    • Writing Report
    • Report completed
  • AEA: Revision reports after author resubmission
  • AEA-related meetings

Advanced AEA-related tasks

  • Checking Unassigned Jira Tickets
  • AEA: Reviewing and (Pre-) Approving Reports
    • Original Replication Report
    • Revision Report
    • Choosing a Recommendation
  • AEA: Submitting information back to the Editorial Office and to authors
    • Basic setup
    • Submitting to the JMS ScholarOne
    • Deleting restricted data
    • Submitting deposit-related information via openICPSR
  • AEA: Interfacing with openICPSR
    • AEA: Monitoring Pending openICPSR Changes
    • AEA: Publishing a deposit
    • Adding the article DOI to the openICPSR deposit metadata
  • AEA: Instructions for Papers and Proceedings checks

Running code

  • Guidelines for running code
  • Stata-related procedures
    • Using config.do in STATA
    • Running Code in Stata
    • Using scan_packages.do
    • Stata on Linux
    • Debugging Stata
  • R-related procedures
    • Using config.R in R
    • Running Code in R
    • Running R on Linux systems
    • Running R from other software
    • Debugging R
  • MATLAB-related procedures
    • Adding config.m to MATLAB and path names
    • Running MATLAB without the desktop GUI and with log file
    • Running Dynare from MATLAB
    • Debugging MATLAB-related problems
  • Python-related procedures
  • Julia-related procedures
  • Docker-related procedures
    • Docker on Windows
  • Mathematica-related procedures
  • Rare software
    • Ox-related procedures
    • Mosek

Sundry other guidance

  • External reproducibility checks

Appendix

  • Glossary
  • Setup Checklist
  • Privacy
  • Communication
  • Identifying differences between original manuscript and reproduction
    • Using screenshot and annotation tools on Windows
    • Using screenshot and annotation tools on macOS
    • Include Screenshots in the Report
  • Downloading Data
    • Using pre-publication openICPSR Projects
    • Alternate sources of data
    • Accessing privately provided data
    • Globus Transfers
    • Updating Replication Materials after Revisions
  • Access to Computers
    • Connecting to remote Windows servers
    • Connecting to remote Linux servers
    • Reproducibility Checks in Codeocean
    • Conducting reproducibility checks on WholeTale
    • Computing using Github Codespaces
    • Setting up your Bash environment
    • Additional setup instructions
  • Authentication-related issues
    • Bitbucket Authentication
    • openICPSR Authentication
  • Various templates for correspondence by AEA Data Editor team members
    • Preparing a Legacy Deposit for Updates by Authors
    • IPUMS Beta API request
    • Requesting Restricted-Access Data from Authors
    • Request for External Reproducibility Check (general)
    • Clarification regarding privately-provided restricted access files
  • Technical issues
  • Code of Conduct
  • Videoconferencing Rules and Etiquette
  • References
  • Older versions
  • Repository
  • Suggest edit
  • Open issue
  • .md

Julia-related procedures

Contents

  • Managing multiple Julia versions
  • Julia is picky about how environments are passed to workers

Julia-related procedures#

In this section, we will show you a few things related specifically to running code reproducibly with Julia. For more general debugging tips for Julia and other computer languages, see our wiki.

The following instructions are primarily for Linux.

You may need to use Conda on our Windows systems.

Managing multiple Julia versions#

Julia has a native version manager. Follow instructions at JuliaLang/juliaup to install it - it will be installed in your personal directory (so is not shared). Then, to add a particular Julia version,

juliaup add 1.9.2
juliaup default 1.9.2

and your next call to Julia will launch 1.9.2.

Julia is picky about how environments are passed to workers#

julia --project=julia16 -p 4

should start with the project installed in julia16 and 4 worker processes. In fact, the worker processes ignore the project packages, and the whole thing fails (see this link).

Workaround:

export JULIA_PROJECT=julia16
julia -p 4

seems to work.

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Python-related procedures

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Docker-related procedures

Contents
  • Managing multiple Julia versions
  • Julia is picky about how environments are passed to workers

By Lars Vilhuber, Michael Darisse, Sofia Encarnación, Ilanith Nizard, Leonel Borja Plaza, Takshil Sachdev, Hyuk Son, Linda Wang, David Wasser, Meredith Welch

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