Data and Empirics¶

This part of the course provides a set of lectures focused on Data and Empirics using Python

Lectures¶

• Pandas for Panel Data
  • Overview
  • Slicing and Reshaping Data
  • Merging Dataframes and Filling NaNs
  • Grouping and Summarizing Data
  • Final Remarks
  • Exercises
  • Solutions
• Linear Regression in Python
  • Overview
  • Simple Linear Regression
  • Extending the Linear Regression Model
  • Endogeneity
  • Summary
  • Exercises
  • Solutions
• Maximum Likelihood Estimation
  • Overview
  • Set Up and Assumptions
  • Conditional Distributions
  • Maximum Likelihood Estimation
  • MLE with Numerical Methods
  • Maximum Likelihood Estimation with statsmodels
  • Summary
  • Exercises
  • Solutions