Brunner D Using Python for Introductory Econometrics 2020

Brunner D Using Python for Introductory Econometrics 2020 | 3.09 MB
English | 429 Pages

Title: "Using Python for Introductory Econometrics"
Author: "Florian Heiss; Daniel Brunner"
Year: 2020

Description:

• Introduces the popular, powerful and free programming language and software package Python
  
• Focus : implementation of standard tools and methods used in econometrics
  
• Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation
  
• Companion website with full text, all code for download and other goodies
  

Topics:

• A gentle introduction to Python
  
• Simple and multiple regression in matrix form and using black box routines
  
• Inference in small samples and asymptotics
  
• Monte Carlo simulations
  
• Heteroscedasticity
  
• Time series regression
  
• Pooled cross-sections and panel data
  
• Instrumental variables and two-stage least squares
  
• Simultaneous equation models
  
• Limited dependent variables: binary, count data, censoring, truncation, and sample selection
  
• Formatted reports using Jupyter Notebooks
  

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