Finding Data

• The fantastic Data is Plural newsletter: structured archive & sign-up

• J-PAL's Administrative Data Sets Catalog

• Economic Articles with Data (by Sebastian Kranz)

• Resources from FlowingData: newsletter & data source list & guide to finding data

• 538’s data & code

• The Pudding’s data & code

• #TidyTuesday datasets

• ML datasets listing (by Sebastian Raschka)

Data visualization inspiration

• FlowingData website & newsletters

• The Pudding essays & their How To Make Dope [Stuff] on The Internet series

• #TidyTuesday community creations

• W. E. B. Du Bois’s Data Portraits: Visualizing Black America (thread with many related links here)

• Dear Data

General R Resources

• R for Data Science & R4DS community

• STAT 545 by Jenny Bryan

• Data science for economists course materials by Grant McDermott

• Code examples in R for Program Evaluation by Andrew Heiss

• Computational Thinking for Social Scientists by Jae Yeon Kim

• The Library of Statistical Techniques (LOST)

R Community Resources

• RStudio Community (essentially, StackOverflow but all R)

• R-Ladies Community: content via @WeAreRLadies & find an R-Ladies meetup here

• Content via #rstats on Twitter

R (ggplot2) for Data Visualization

• Data Visualization: A practical introduction (by Kieran Healy)

• Glamour of Graphics (by Will Chase)

• Designing ggplots (by Malcolm Barrett)

• Graphics in R with ggplot2 (by Antoine Soetewey)

• Here are R scripts and notebooks used to generate my blog projects

Colors for Data Visualization 

• A Comprehensive list of R color palettes (by Emil Hvitfeldt)

• Regenbogen: color palettes explorer (by Jan Simson)

• Grafify for color blind-friendly palettes

• Monochrome color palettes (by Nicola Rennie)

• Blog post on choosing colors (by Lisa Charlotte Rost)

Using R for Academic Projects

• R Markdown Templates (by Steven Miller)

• Thread on organizing projects with R (by Angela Li)

• Dissertating with R (by Lucy D’Agostino McGowan)

• renv package resources: main page, combining renv and RSPM by Grant McDermott, renv slides by Kevin Ushey

Making a website with blogdown (R package)

• Official blogdown book

• Up and Running with Blogdown (by Alison Hill)

• Let Me Upgrade You (by me)

Making a CV with R

• Steven Miller’s CV template (preview)

• Simon Heß's CV template (preview)

• The vitae R package

• Nick Strayer's datadrivenvc package 

Predictive Modeling with Tidymodels (R package)

• The fantastic Tidymodels website

• For binary classification: (1) a “getting started” case study, (2) Julia classifies penguins, (3) Julia predicts water availability

Causal inference concepts

• Causal inference animations from Nick Huntington-Klein

• “So you’ve made a regression model” flowchart from Nick Huntington-Klein

• “Econometrics Sandbox” series from Florence Kondylis and John Loeser

Teaching materials on causal inference/metrics

• Ed Rubin’s “Econometrics III” notes

• Paul Goldsmith-Pinkham’s “Applied Empirical Methods” notes

• Causal Inference: The Mixtape

• Kline + Walters AEA notes

Visualizations for empirical research

• Specification charts by Hans Henrik Sievertsen

• Staggered diff-in-diff visualizations by Andrew Baker

Staggered differences-in-differences

• Using the did Package for implementing Callaway and Sant’Anna (2020) 

• Using fixest for implementing Abraham and Sun (2020)

• Seminar video on Baker, Larker, and Wang (2021)

  • code behind BLW (2021) paper

Reviewing for journals

• Section 6.3 (p.126-133) of Doing Economics (2012 blog post version here)

• Berk, Harvey, and Hirshleifer (2017)'s JEL article on refereeing

Conferences, grants, seminars

• Econ conferences list by Anne Burton and Barton Willage

• Small grants list by Anne Byrne

• Organizing panels for conferences: twitter thread by Aaron Sojourner 

• Online economics seminars: AEA list + Twitter replies + Bluesky replies

Research Assistant jobs

• A comprehensive community guide for research assistants (RAs) in economics

• Pre-doc advice and resources from Zahra Thabet

Using version control

• Git: A Guide for Economists from Frank Pinter

• Git(Hub) + RStudio from Grant McDermott

Advice on writing papers

• "The Introduction Formula" by Keith Head

• "The Ten Most Important Rules of Writing Your Job Market Paper" by Claudia Goldin and Larry Katz

• "How to Write Applied Papers in Economics" by Marc Bellemare

• "we need to talk MORE..." by Claudia Sahm

Misc. resources

• How to FOIA: twitter thread by Ashvin Gandhi

• Making a simple academic website: write-up by Kevin Wilson

• Switching from Mendeley to Zotero: twitter thread by Remy Levin

• Email tips: "how to send and reply to email" article by Matt Might

• File naming: "How to Name Files, Like a Normie" slides by Jenny Bryan

• The Ombuds Resource for AEA Members (FAQ here)

The econ job market

I wrote a blog post on the market here (twitter thread version is here)

• Claudia Sahm’s JMP post

• Chase Eck, Kelli Marquardt, and Dana Shaat’s Guide on Mentally Preparing for the Job Market

  • Their Guide to JM Guides here

• Graphs re: JOE job postings over time here by Andrew Lilley

• Twitter bot with JOE job info: @EconJobsBot made by @TheKeveloper

• Benjamin Vatter’s “Job Market Application Tracker”

• Advice on non-academic cover letters here

• UC Berkeley DEI statement resources here and here

• Google sheet template here for keeping track of reference letter submissions

• AEA webinar on the job market here (it covers applying, interviews, negotiating, and more)

• Incredible resources from Natalia Emanuel: "Job Market Thoughts" & "Job Market Objective Functions"

• Negotiation advice: memo/advice from Claudia Goldin and Larry Katz & lecture on “How to Negotiate Your Job Offer” by Deepak Malhotra