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Using Python for Introductory Econometrics

About this product

Details

Number Of Pages	432
Contains Batteries Or Cells?	None
Dangerous Goods Or Hazardous Materials	No
Year	2024
Edition Type	Regular Edition
Cover Type	Soft Cover

Product 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

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•Business name: NANCY NUNEZ

•Business address: Nevada, The United States

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Using Python for Introductory Econometrics

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