Using Python for Introductory Econometrics - Couverture souple

Heiss, Florian; Brunner, Daniel

 
9798648436763: Using Python for Introductory Econometrics
Couverture souple
ISBN 13 : 9798648436763
Editeur : Independently published, 2020

Synopsis

  • 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

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2020
Langue
anglais
ISBN 13 
9798648436763
Reliure
Broché
Nombre de pages
428
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
https://www.amazon.fr/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Luxembourg