₡19.200
Using Python for Introductory Econometrics
Daniel Brunner
Using Python for Introductory Econometrics
Using Python for Introductory Econometrics
Daniel Brunner
Descripción
- 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
Detalles
| Formato | Tapa suave |
| Número de Páginas | 430 |
| Lenguaje | Inglés |
| Editorial | Independently Published |
| Fecha de Publicación | 2020-05-25 |
| Dimensiones | 10.0" x 8.0" x 0.87" pulgadas |
| Letra Grande | No |
| Con Ilustraciones | No |
Garantía & Otros
| Garantía: | 30 dias por defectos de fabrica |
| Peso: | 0.848 kg |
| SKU: | 9798648436763 |
| Publicado en Unimart.com: | 04/09/24 |
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