Useful Links - Zhitao Zhu

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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]

Elements of Advanced International Trade by Prof. Treb Allen & Prof. Costas Arkolakis [Link]
Trade Diversion: Trade JMPs & Spatial Economics JMPs [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]

Lecture Vedios: Causal Inference (M.Sc or PhD level) by Prof. Benjamin Elsner [Link]
Lecture Vedios: Applied Empirical Methods by Prof. Paul Goldsmith-Pinkham [Link]
Lecture Notes: Econometrics III by Prof. Ed Rubin [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]

Knowledge Base [Link] & Layout Parser [Link] by Prof. Melissa Dell

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]