Using R for Introductory Econometrics

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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

Author(s): Florian Heiss
Edition: 1
Publisher: CreateSpace Independent Publishing Platform
Year: 2016

Language: English
Pages: 356