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    Using Python for Introductory Econometrics

    Posted By: DZ123
    Using Python for Introductory Econometrics

    Florian Heiss, "Using Python for Introductory Econometrics"
    English | 2020 | ASIN: B08924H17Y | PDF | pages: 428 | 102.7 mb

    - 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