"Using Python for Introductory Econometrics" | 429 | "Florian Heiss; Daniel Brunner" | 2020 | Independently published | 979-8648436763
✔ 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
Files:
Brunner D. Using Python for Introductory Econometrics 2020.pdf (3.09 MB)
NitroFlare Link(s)
Code:
Linkeket csak regisztrált tagok láthatják! Bejelentkezés ::: Regisztráció
Code:
Linkeket csak regisztrált tagok láthatják! Bejelentkezés ::: Regisztráció