Using Python for Introductory Econometrics - Softcover

Heiss, Florian; Brunner, Daniel

Softcover

ISBN 13: 9798648436763

Verlag: Independently published, 2020

Inhaltsangabe

• 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

Details zur Ausgabe

• Verlag: Independently published
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 13: 9798648436763
• Einband: Taschenbuch
• Anzahl der Seiten: 428
• Kontakt zum Hersteller: Printed by Amazon on behalf of the author; https://www.amazon.de/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxemburg