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Useful Links for Quantitative Macro Development and Spatial Economics
- Macroeconomics (honours/masters) [Link] & Macroeconomics (Ph.D. Core) [Link] by Prof. Chris Edmond
- Economic Growth [Link] & Monetory Economics [Link] by Prof. Chris Edmond
- Quantitative Economics with Julia [Link] & Python [Link]
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Useful Links for Causal Inference & Reduced-Form Analysis
- MM [Link] & MHE [Link]
- Causal Inference: The Mixtape [Link]
- The Effect: An Introduction to Research Design and Causality [Link] + Lecture Vedios [Link]
- Causal Inference for The Brave and True [Link]
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Useful Links for Machine Learning & Data Science
- Library of Statistical Techniques (LOST) [Link]
- Prediction and Machine-Learning in Econometrics [Link]
- Machine Learning from Scratch [Link]
- Applied Machine Learning [Link]
- Python: QuantEcon DataScience [Link]
- Python: Introduction to Python for Econometrics, Statistics and Numerical Analysis [Link]
- Python: Python for Econometrics in Economics [Link]
- R: Data Science for Economists [Link]
- R: Big Data in Economics [Link]
- R: Course Materials for Advanced Data Analytics in Economics [Link]