Using Python for Introductory Econometrics - Softcover

Heiss, Florian; Brunner, Daniel

Softcover

ISBN 13: 9798332557002

Publisher: Independently published, 2024

This specific ISBN edition is currently not available.

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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