Data
- Where to find data? A document for young or new researchers on how to find data for your new empirical project.
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- Let me also recommend joining Data is Plural, they will send you each week a list of three datasets that are less known. Check the entire database, here.
Professional Development
- Advice to graduate students in economics from Professor Lubotsky
- Great Tips for Writing an Empirical Paper from Plamen Nikolov
- List of Economic Conferences and deadlines to apply. (Anne burton and Barton Willage)
- Where to present crime-papers (Jennifer Doleac)
- More advice on twitter organized by (Jennifer Doleac)
- How to make a website using "Git" (Marisa Carlos)
- Guide to Applying for PhD Programs in Econ (Torsha Chakravorty, Aishwarya Kekre, Prerna Kundu, Lakshya Narula, and Vaibhav Ojha)
- EconThaki - es una organización que tiene como objetivo incrementar la diversidad en la academia en economía en Latinoamérica y el Caribe.
- EconThaki tiene una guía para estudiantes de LAC sobre como comenzar tu camino hacia el doctorado.
- Website created by David Schindler and Chris Roth on advice for all sorts of issues Ph.D. students may run into: https://sites.google.com/view/econgradadvice/
- Guide to Postdocs in Econ/Management by Wei Yang Tham @wytham88
- Guide to Predocs in Econ by Zahra Thabet
- Where do I get at job as an RA? Well you can start here - Barton Willage.
Coding
- Code for making awesome Stata to LaTeX Tables
- How to Sync Notepad++ and STATA
- Really Easy tool to make U.S Maps
- Stata Coding Guide by Julian Reif
- Stata to Latex Guide by Asjad Naqvi
- Want to replicate a paper? Sebastian Kranz compiled a list of papers that have their data available
- Learning how to graph your results in STATA with do-files by John Kane @UptonOrwell
Learn how to ...
- Beamer: Paul Goldsmith-Pinkham posted tips on his website on How to make better Beamer Presentations.
- Machine Learning: Dario Sansone has compiled a great list of articles and other reads to get started with Machine learning
- Causal Inference & ML:
- Matteo Courthoud has created a number of posts regarding ML and causal inference
- A book on causal inference with ML: https://causalml-book.org
- Another interesting set of notes: https://matheusfacure.github.io/python-causality-handbook/landing-page.html
- DiD
- Asjad Naqvi aslo has compiled a website on resources related to DiD you can find it here
Books on Causal Inference in general
- Real Stats by Michael Bailey
- Mastering Metrics
- Online version of Causal Inference: The Mixtape
- Online version of The Effect: An Introduction to Research Design and Causality
- Online version of Impact Evaluation in Practice - Second Edition
- Online version of “Causal Inference: What if”
- Regression Discontinuity: https://www.mdrc.org/sites/default/files/regression_discontinuity_full.pdf
- A book on causal inference with ML: https://causalml-book.org
Workflow
- Todoist is my preferred app for to-do list. This is a video on how I use todoist?
- I use notion for organizing everything! Even doing my website
- Background music & flow
- Ommwriter, is a very simple app, but it is so nice to easy. The point? A distraction free interface for you to write.
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- We all know that social media is bad, and blah blah. This book may start with some of those arguments, but I think the value of this book is about explaining not why social media is bad, but why the little nudges of stimuli could affect your workflow. Through examples and some citations, I believe this books motivates one to get back to a distraction-free way of working.
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Time Management Resources