Using Python for Introductory Econometrics

Author:   Daniel Brunner ,  Florian Heiss
Publisher:   Independently Published
ISBN:  

9798648436763


Pages:   430
Publication Date:   25 May 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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Using Python for Introductory Econometrics


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Overview

"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"

Full Product Details

Author:   Daniel Brunner ,  Florian Heiss
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 20.30cm , Height: 2.20cm , Length: 25.40cm
Weight:   0.848kg
ISBN:  

9798648436763


Pages:   430
Publication Date:   25 May 2020
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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