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Book synopsis

• 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

Book details

• Full title: Using Python for Introductory Econometrics
• Author: Brunner Daniel Brunner, Heiss Florian Heiss
• Language: English
• Binding: Paperback
• Number of pages: 430
• EAN: 9798648436763
• ISBN: 864843676Y
• ID: 36176525
• Publisher: Independently Published
• Weight: 849 g
• Dimensions: 254 × 203 × 22 mm
• Date of publishing: 25. May 2020

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