FaridKhan Posted June 20, 2023 Report Share Posted June 20, 2023 "Using Python for Introductory Econometrics" | 429 | "Florian Heiss; Daniel Brunner" | 2020 | Independently published | 979-8648436763✔ 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 Files:Brunner D. Using Python for Introductory Econometrics 2020.pdf (3.09 MB)NitroFlare Link(s)https://nitroflare.com/view/33925D9138D9D58/Brunner_D._Using_Python_for_Introductory_Econometrics_2020.rarRapidGator Link(s)https://rapidgator.net/file/69d528695f15e50548853ca1f861c102/Brunner_D._Using_Python_for_Introductory_Econometrics_2020.rar Link to comment Share on other sites More sharing options...
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