Using Python for Introductory Econometrics

Heiss, Florian; Brunner, Daniel

ISBN 13: 9798648436763

Published by Independently published, 2020

About this Item

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Bibliographic Details

• Title: Using Python for Introductory Econometrics
• Publisher: Independently published
• Publication Date: 2020
• Language: English
• ISBN 13: 9798648436763
• Binding: Soft cover
• Condition: New

About this title

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