Using R for Introductory Econometrics
Florian Heiss
A gentle introduction to R
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 and research papers combining R with R Markdown or LaTeX
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 and research papers combining R with R Markdown or LaTeX
Categorias:
Ano:
2016
Edição:
1
Editora:
CreateSpace Independent Publishing Platform
Idioma:
english
Páginas:
356
Arquivo:
PDF, 48.36 MB
IPFS:
,
english, 2016
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