Useful Links

A fantastic graduate-level course on the Economics of AI by Anton Korinek: https://www.coursera.org/learn/economics-of-ai/home/welcome

An excellent online textbook on Causal Inference: https://mixtape.scunning.com/index.html

Free MIT course on Psychology and Economics, an apt introduction to behavioural economics: https://ocw.mit.edu/courses/economics/14-13-psychology-and-economics-spring-2020

A collection of interesting open datasets by a variety of researchers: https://www.data-is-plural.com/

A unique source for learning quantitative economics in Python by John Stachurski and Thomas Sargent: https://quantecon.org/lectures/

Register on IPUMS and get access to harmonised census data covering long periods and a large set of countries: https://international.ipums.org/international/

To get comparable data on labour market outcomes across countries and time, have a look at the Jobs of the World Project: https://jwd.iza.org/

For adequate exposure to modern applied empirical methods, go through the lecture sets from Paul Goldsmith-Pinkham: https://github.com/paulgp/applied-methods-phd

A reading group to keep abreast of the recent surge in DID literature. https://taylorjwright.github.io/did-reading-group/

World Bank's Gender Data Portal. https://genderdata.worldbank.org/

Maximilian Kasy of Oxford University has provided this great book on empirical research in economic inequality, which is open-access. http://inequalityresearch.net/introduction.html

The Hidden Curriculum produced a video on project workflow while working with Stata, GitHub and Overleaf. https://youtu.be/BRakB2fxWYc

Data on demography and health through over 400 surveys in over 90 countries. https://dhsprogram.com/

Markus Eberhardt has compiled this nice list of micro and macro data resources. https://sites.google.com/site/medevecon/devecondata?authuser=0 

A comprehensive dataset on the healthcare workforce around the world. https://www.who.int/data/gho/data/themes/topics/health-workforce

A nice compilation of various sources for computational macroeconomics and structural modelling. https://fedor.iskh.me/resources

Prof Michaillat has provided video lectures on topics related to labour economics. https://pascalmichaillat.org/courses/

Amazing collection of macro data across 46 variables for 243 countries dating back to 1086. https://www.globalmacrodata.com/