Public Goods
Applied Econometrics
- Here is a document I have created that lists papers (titles and abstracts) on recent advances in applied micro methods:
- Course videos and slides: Applied Empirical Methods (by Paul Goldsmith-Pinkham)
- Grad Econometrics lecture slides (by Peter Hull)
- Introduction to Econometrics with R (by Florian Oswald, Vincent Viers, Jean-Marc Robin, Pierre Villedieu, and Gustave Kenedi)
- DiD resources (by Jonathan Roth)
- Current literature on diff-in-diff (by Asjad Naqvi)
- Data science for economists (by Grant R. McDermott)
- Causal ML for Policy Evaluation/Learning (by Michael Knaus)
- Machine Learning and Economics: An Introduction (by Susan Athey, Jann Piess, and Stefan Wager)
- Text Data in Economics (by Elliott Ash)
- Causal Inference (by Stefan Wager)
- Four Lectures on Causality (by Jonas Peters)
- Nonlinear Econometric Analysis (by Maximilian Kasy)
PhD-Level Field Course Materials
- Gary Chamberlain’s lecture notes (by Paul Goldsmith-Pinkham)
- Course notes from classes at UC Berkeley (by Kristy Kim)
- Graduate Macroeconomics course materials (by Pascal Michaillat)
- Graduate Public Finance lecture materials (by Owen Zidar)
- Graduate Labor Econ course materials (by David Autor)
- Graduate International Macro and Trade course materials (by Jonathan Dingel)
- Graduate (Macro) Labor Econ course materials (by Florian Oswald)
- Graduate Development & Econometrics lecture notes (by Simon Quinn)
Coding
Stata
- Coding for Economists (by Arthur Turrell)
- The Stata workflow guide (by Asjad Naqvi)
- Coding and do-file structure (by Michael Stepner)
- Stata coding guide (by Julian Reif)
- Stata cheat sheets (by Tim Essam & Laura Hughes)
- Customizing Stata graphs (by Ben Jann)
- Maps in Stata (by Asjad Naqvi)
- Advanced Mapping with Stata: OpenStreetMap (OSM) and QGIS (by Asjad Naqvi)
- Stata guide on Mata (by Asjad Naqvi)
- Stata guide on MLE (by Asjad Naqvi)
- Microeconometrics Using Stata (by Colin Cameron & Pravin Trivedi)
- Tips for managing large-scale datasets efficiently in Stata (by Peter Taberner)
R
- R for Econometrics (by Hans H. Sievertsen)
- Introduction to R (by Christoph Hanck et al.)
- Applied Economics with R (by Hans H. Sievertsen)
- Regression analysis in R (by Grant R. McDermott)
- List of open source books about R (by Pere A. Taberner)
- Big Book of R (by Oscar Baruffa)
Python
- Python for Econometrics (by Fabian H. C. Raters)
- Introduction to Python for Econometrics, Statistics and Data Analysis (by Kevin Sheppard)
- Good Python Practices (by Khuyen Tran)
- Python for Econometrics (by Michael R. Jonas)
LaTeX
- LaTeX Table Hints and Tips (by Adrian P. Robson)
Two or more languages
- Translating Stata to R
- Statistical models across R/Python/Stata (by the Library of Statistical Techniques)
- Stata-to-Python equivalents (by Daniel M. Sullivan)
- StataTex Blog: Tips for Stata, Latex and other useful resources for applied economists (by Jan Sauermann)
- Stata and GitHub Integration (by Asjad Naqvi)
- Conducting power calculations in Stata/R (by Sabhya Gupta)
Before Grad School
- Should you get a PhD? (by Tatyana Deryugina)
- Econ RA Guide (by Coly Elhai et al.)
- Tips for Applied Micro RAs (by Livia Alfonsi)
- Guide to Applying for Ph.D. programs in Econ (by Lakshya Narula et al.)
- PhD Application Tips (by Riccardo Di Cato)
Grad School and the Job Market
- Advice for Phd Students in Economics (by Chris Roth & David Schindler)
- Advice for Academic Research (by Ricardo Dahis)
- Keeping track of the literature (by Eugene Katsevich)
- The 12 Step Program for Grad School (by Eric Zwick)
- Slides on public speaking for academic economists (especially for grad students) (by Rachael Meager)
- How to Give an Applied Micro Talk (by Jesse M. Shapiro)
- LaTeX’s Beamer slides template (by Kyle Butts)
- Writing and Presentation Advice (by Amanda Yagan)
- Writing Tips for Economics Research Papers (by Plamen Nikolov)
- Writing a JMP (by Tatyana Deryugina)
- How I Learned to Stop Worrying and Love the Job Market (by Eric Zwick)
- General resources: writing paper, the editorial process, and job (market) advice (by Jan Sauermann)
- Job market debrief (by Kerry Siani & Kim Fe Cramer)
- Quickly building an academic website (by Pascal Michaillat)
After Grad School
- How to be a productive researcher (by Tatyana Deryugina)
- Tips for new tenure-track professors in R1 economics departments (by Tyler Ransom)
- How to know which journal to submit your manuscript to (by Tatyana Deryugina)
- How to write a good referee report (by Tatyana Deryugina)
- When to give up on a paper (by Tatyana Deryugina)
- What to do after a rejection (by Tatyana Deryugina)
- Mentoring Reading Materials (by the American Economic Association)
