Using Python for Introductory Econometrics
Paperback or Softback 430 pages May 25, 2020
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Independently Published
Using Python for Introductory Econometrics
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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 goodiesTopics: 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
- Author:
- Daniel Brunner
- Publisher:
- Independently Published
- Publication Date:
- May 25, 2020
- Number of pages:
- 430 pages
- Binding:
- Paperback or Softback
- ISBN-13:
- 9798648436763