Introduces the popular, powerful and free programming language and software package Python. Python is an ideal candidate for starting to learn econometrics and data analysis. It has a huge user base, especially in the fields of data science, machine learning, and artificial intelligence, where it
Using Python for Introductory Econometrics.
โ Scribed by Florian Heiss and Daniel Brunner
- Publisher
- Independently Published
- Year
- 2020
- Tongue
- English
- Leaves
- 428
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A gentle introduction to R 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 sq
This book introduces the popular, powerful and free programming language and software package R with a focus on the implementation of standard tools and methods used in econometrics. Unlike other books on similar topics, it does not attempt to provide a self-contained discussion of econometric model
<b>Introduces</b> the popular, powerful and free programming language and software package <b> <i>R</i> </b><br /><br /><b>Focus</b> implementation of standard tools and methods used in <b>econometrics</b><br /><br /><b>Compatible</b> with <b>"Introductory Econometrics"</b> by Jeffrey M. Wooldri