Using R for Introductory Econometrics - Florian Heiss

\n \n\n \n- Introduces the popular, powerful and free programming language and software package R \n- Focus implementation of standard tools and methods used in econometrics \n- Compatible with Introductory Econometrics by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation \n- Companion website with full text, all code for download and other goodies: http: //urfie.net \n- Also check out Using Python for Introductory Econometrics http: //upfie.net/ \n\n \nPraise \n \n- A very nice resource for those wanting to use R in their introductory econometrics courses. (Jeffrey M. Wooldridge) \n- Using R for Introductory Econometrics is a fabulous modern resource. I know I'm going to be using it with my students, and I recommend it to anyone who wants to learn about econometrics and R at the same time. (David E. Giles in his blog Econometrics Beat) \n\n \nTopics: \n \n- A gentle introduction to R \n- Simple and multiple regression in matrix form and using black box routines \n- Inference in small samples and asymptotics \n- Monte Carlo simulations \n- Heteroscedasticity \n- Time series regression \n- Pooled cross-sections and panel data \n- Instrumental variables and two-stage least squares \n- Simultaneous equation models \n- Limited dependent variables: binary, count data, censoring, truncation, and sample selection \n- Formatted reports and research papers combining R with R Markdown or LaTeX \n\n