Using Python for Introductory Econometrics

By Daniel Brunner and Florian Heiss

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

• Format: Paperback
• Language: English
• ISBN: B08924H17Y
• ISBN13: 9798648436763
• Release Date: May 2020
• Publisher: Independently Published
• Length: 430 Pages
• Weight: 1.87 lbs.
• Dimensions: 0.9" x 8.0" x 10.0"