Here, I have provided some useful learning resources for quantitative models, including basic code writing, some general-purpose models and solution methods, as well as detailed replication and comprehensive explanations of several influential models. I will main focus on economic geography models in applications. Most of my summaries are in Chinese.

• Microeconometrics and MATLAB-  An introduction to coding and MATLAB. 

  • Packages and my replicates in Matlab.

• QuantEcon Lectures -  a set of lectures on quantitative economic modeling, designed and written by Thomas J. Sargent and John Stachurski. 

  • Pyhon and Julia coding

  • Matlab version by me, summary and coding

• Quantitative Spatial Economics (Redding  & Rossi-Hansberg , 2017)-  extensive taxonomy of the different building blocks of quantitative spatial models

  • Replication: Line-by-line code analysis and detailed explanation, as well as optimization and expansion

• Economic Geography Dynamics (Allen & Donaldson, 2021)-  Introduce dynamic components in spatial models and investigate some useful dynamic properties in a tractable way. No code summary yet. 

  • Summary of dynamic properties and a simple application

• (Dynamic) Discrete Choice Model (Abbring & Klein, 2023)-very detaied document on Dynamic Discrete Choice Models-Methods, Matlab Code, and Exercises

  • Summary and replication of static and dynamic model.