Using Python for Introductory Econometrics - Florian Heiss,Daniel Brunner
-25% koodilla BOOKS
Toimitus 10-16 arkipäivässä
30 päivän palautusoikeus
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 Simpl ... Täydellinen kuvaus
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Kuvaus
- 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
Lisätietoja
| Kirjoittaja | Florian Heiss, Daniel Brunner |
|---|---|
| Julkaisija | Indipendantly Published |
| Julkaisuvuosi | 2020 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9798648436763 |