Using Python for Introductory Econometrics - Paperback

Using Python for Introductory Econometrics - Paperback

$40.68
$40.68
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Using Python for Introductory Econometrics - Paperback
  • Using Python for Introductory Econometrics - Paperback
Using Python for Introductory Econometrics - Paperback

Using Python for Introductory Econometrics - Paperback

$40.68
$40.68

by Daniel Brunner (Author), Florian Heiss (Author)

  • 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
Number of Pages: 430
Dimensions: 0.87 x 10 x 8 IN
Publication Date: May 25, 2020

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