Zhitao Zhu
  • Home
  • Research
  • Teaching
  • Contact
  • Useful Links

 & 
​
​Useful Links for Quantitative Macro Development and Spatial Economics
​

  1. Macroeconomics (honours/masters) [Link] & Macroeconomics (Ph.D. Core) [Link] by Prof. Chris Edmond
  2. Economic Growth [Link] & Monetory Economics [Link] by Prof. Chris Edmond
  3. Quantitative Economics with Julia [Link] & Python [Link]

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

 & 
​
​Useful Links for Causal Inference & Reduced-Form Analysis
​

  1. MM [Link] & MHE [Link]
  2. Causal Inference: The Mixtape [Link]
  3. The Effect: An Introduction to Research Design and Causality [Link] + Lecture Vedios [Link]
  4. Causal Inference for The Brave and True [Link]

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

 & 
​
​Useful Links for Machine Learning & Data Science
​

  1. Library of Statistical Techniques (LOST) [Link]
  2. Prediction and Machine-Learning in Econometrics [Link]
  3. Machine Learning from Scratch [Link]
  4. Applied Machine Learning [Link]
​
  1. Knowledge Base [Link] & Layout Parser [Link] by Prof. Melissa Dell
 
  1. Python: QuantEcon DataScience [Link]
  2. Python: Introduction to Python for Econometrics, Statistics and Numerical Analysis [Link]
  3. Python: Python for Econometrics in Economics [Link]
  4. R: Data Science for Economists [Link]
  5. R: Course Materials for Advanced Data Analytics in Economics [Link]
Proudly powered by Weebly
  • Home
  • Research
  • Teaching
  • Contact
  • Useful Links