Using Python for Introductory Econometrics - Brossura

Heiss, Florian; Brunner, Daniel

 
9798648436763: Using Python for Introductory Econometrics
Brossura
ISBN 13: 9798648436763
Casa editrice: Independently published, 2020

Sinossi

  • 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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Independently published
Data di pubblicazione
2020
Lingua
Inglese
ISBN 13 
9798648436763
Rilegatura
Copertina flessibile
Numero di pagine
428
Contatto del produttore
Manufactured by Amazon on behalf of the author
https://www.amazon.it/hz/contact-us

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