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Brunner D Using Python for Introductory Econometrics 2020

Category: eBooks



Brunner D  Using Python for Introductory Econometrics 2020

Brunner D Using Python for Introductory Econometrics 2020 | 3.09 MB
English | 429 Pages

Title: "Using Python for Introductory Econometrics"
Author: "Florian Heiss; Daniel Brunner"
Year: 2020




Description:
  • 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


DOWNLOAD:

https://rapidgator.net/file/d77e00520ff8c4a3ab18fb7f7f3dba91/Brunner_D._Using_Python_for_Introductory_Econometrics_2020.rar
https://k2s.cc/file/89ecf3c632b7f/Brunner_D._Using_Python_for_Introductory_Econometrics_2020.rar


   
   
   


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