Resources

• Introduction Formula by Keith Head

• How to Write the Introduction of Your Development Economics Paper by David Evans

• "Middle Bits" Formula by Marc F. Bellemare 

• Conclusion Formula by Marc F. Bellemare 

• How to Write Applied Papers in Economics by Marc F. Bellemare 

• The Ten Most Important Rules of Writing Your Job Market Paper by Claudia Goldin and Lawrence Katz -  also applies to non-JMPs

• Plain English Campaign

• Reverse Outlining a guide to reverse outlining by the Writing Center of U. of Wisconsin-Madison

• Paper writing gone Hollywood by Jeffrey J. McDonnell  in Science (2017)

Literature search (beyond Google Scholar)

• scite_ a great tool to get a first impression whether a study is disputed or academic conesus

• Connected Papers is a great tool to get an overview of a new literature or to make sure no important reference was missed in the search.

• LitMaps somewhat similar to Connected Papers

• Elicit - An AI powered literature search, providing a customizable search incl. abstract preview, etc.

• Consensus App - An AI powered literature search tool incl. a consensus meter regarding the prompt 

• How to be a good discussant by Chris Blattmann

• How to Give an Applied Micro Talk by Jesse Shapiro

• Academic Presenting by Rachel Meager

• Refereeing 1 by Marc F. Bellemare This piece also has a good explanation of why being nice is the way forward in academia.

• Refereeing 2 by Tatyana Deryugina

• How to Write an Effective Referee Report and Improve the Scientific Review Process by Berk et al.

• A Checklist for Reviewing a Paper by Berk et al.

• How to be Productive in Academia by Tatyana Deryugina

• 5 steps toward a paper by Frank Schilbach

• Anne M. Burton and Barton Willage curate a list of economics conferences

• Summary of 2020 Panel Q&A on publishing at the Essen Economics of Mental Health Workshop

Free resources on econometric methods with a causal inference focus

Textbooks

• The Effect: An Introduction to Research Design and Causality by Nick Huntington-Klein

• Econometrics for Business Analytics by Jose M. Fernandez

• Data science for economists by Grant McDermott 

• Causal Inference: Measuring the Effect of X on y by Austin Nichols

• Causal Inference for The Brave and True (Python focused) by Matheus Facure

• Causal Inference: The Mixtape by Scott Cunningham

• Causal Inference Book by Jamie Robin and Miguel Hernan

• Econometrics by Bruce E. Hansen

Courses

• Introduction to Causal Inference by Brady Neal

• Paul Hünermund provides slides and code for his courses on his page 

•  Program Evaluation for Public Service  by Andrew Heiss

Video resources on econometric methods with a causal inference focus

• Causality - Inferring Causal Effects from Data by Jason Roy

• Introduction to the Causal Inference Bootcamp by Matt Masten

• Free YT course on Causal Inference by Benjamin Elsner

• Econ 480 class by Ivan A. Canay incl. syllabus, slides and recorded videos.

• Econ 481 class by Ivan A. Canay incl. syllabus, slides and recorded videos.

Other econometrics ressources

• Neat, cheat sheets of RCTs, RDDs & DiDs by Sarah Miller

• The SKY Community provides Statistical Tools for Causal Inference

• Mastering Econometrics by Joshua Angrist

• Library of Statistical Techniques (LOST) by Nick Huntington-Klein

• Econometrics Academy by Ani Katchova

• Andrew Baker provides a nice summary of new insights regarding TWFE DiD

• Illustration of the two-way fixed effects estimator decomposition by Hans H. Sievertsen

• Problems with two-way fixed-effects event-study regressions by Pedro H. C. Sant’Anna and Brantly Callaway

• More resources on DiD by David McKenzie: Revisiting the Difference-in-Differences Parallel Trends Assumption: Part I Pre-Trend Testing

• Even more resources on DiD by Scott Cunningham

• Christine Cai hosts a neat document summarizing references regarding Recent Advances in Applied Micro Methods

• 10 things to know about many topics relating to causal inference

Other useful links

• DAGitty - a tool to draw DAGs and see testable implications, assumptions, etc. spelled out

• EZgif - a simple free online tool to make animated gifs (e.g. same graph over time for a presentation)

• Draw.io - a simple free online tool to make conceptual diagrams 

Free resources regarding coding (mostly Stata and R)

• General coding advice by Matthew Gentzkow and Jesse M. Shapiro 

• Stata Coding Guide by Julian Reif

• Replication of "Mostly Harmless Econometrics" in Stata, R, Python and Julia. 

• Bryan S. Graham provides material from his courses on his webpage/Github. The focus is on network data. 

• An overview of multiple hypothesis testing commands in Stata by David McKenzie

• Stata Cheat Sheets

•  Transitioning from Stata to R by Nick Huntington-Klein 

• Tools to speed up Stata: Gtools by Mauricio Caceres, reghdfe to run multiple fixed-effects by Sergio Correia 

• Resources from a R Markdown workshop by Resul Umit

• Stata code for event-studies by Andrew Goodman-Bacon.

• Better Data Communication a NBER methods lecture by Jonathan Schwabish

• Coding for economists (Python ) by Arthur Turrell and Luke Stein

• Advanced Data Analytics in Economics by Nick Hagerty