Resources
Here is a very incomplete list of research tips and (free) resources that I came across on the internet.
Coding
Stata and Github integration [Asjad Naqvi]
Mata: Stata's End Game [Asjad Naqvi]
Good Enough Practices in Scientific Computing [PLOS Computational Biology]
A stata coding guide [Julian Reif]
Databases
DISCERN: Duke Innovation & SCientific Enterprises Research Network
Reliance on Science in Patenting [Marx and Fuegi]
N-grams on 100 million scientific articles
A useful list of data resources [Sebastian Tello Trillo]
Methods
Wrapper for estimating new DiD models in R [Kyle Butts]
Econometrics
Causal Inference: The Mixtape [Scott Cunningham]
The Effect: An Introduction to Research Design and Causality [Nick Huntington-Klein]
Probability and Statistics for Economists [Bruce Hansen]
Gary Chamberlain Lecture Notes [Paul Goldsmith-Pinkham]
Applied Empirical Methods [Paul Goldsmith-Pinkham]
R for Data Science [Wickham and Grolemund]
Visualisation
Ten Guidelines for Better Tables [Jonathan Schwabish]
Latex templates and Stata themes [Kyle Butts]
Stata Tables in Latex [Asjad Naqvi]
Writing
How to write a good abstract [LSE Blog]
The Introduction Formula [Keith Head]
The Middle Bits Formula [Marc Bellemare]
The Conclusion Formula [Marc Bellemare]
The Plain Person’s Guide to Plain Text Social Science [Kieran Healy]
How to construct a Nature summary paragraph
Talking
How to give an applied micro talk [Jesse Shapiro]
How to give a good paper discussion [James Choi]
How to be a good discussant [Dallas fed]
Literature reviews
How to undertake a literature review [Raul Pacheco-Vega]
Synthesizing a body of work through conceptual dumps [Raul Pacheco-Vega]
Finding the most relevant information in a paper [Raul Pacheco-Vega] [Excel template]