Using Python for Introductory Econometrics (Paperback)

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Using Python for Introductory Econometrics By Daniel Brunner, Florian Heiss Cover Image

Using Python for Introductory Econometrics (Paperback)


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  • 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


  • 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
Product Details ISBN: 9798648436763
Publisher: Independently Published
Publication Date: May 25th, 2020
Pages: 430
Language: English