Skip to main content
Skip header

Economic analysis with R

Anotace

Course contents includes the basics of R, pre-processing and data visualization techniques, study and application of linear, non-linear models, and basic panel data models. Students will apply and analyze the results using the R software. The student will prepare and present both in oral and written form a research project in which the concepts studied will be discussed and applied to a particular problem.

Povinná literatura

LANDER, Jared P. [i]R for everyone: Advanced Analytics and Graphics.[/i] Crawfordsville: Adison Wesley, 2014. ISBN-13: 978-0-321-88803-7 .
VERZANI, John. [i]Using R for introductory statistics.[/i] [online]. Available from: https://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf.
WOOLDRIDGE, Jeffrey M. [i]Introductory econometrics: a modern approach. [/i] Sixth edition. Boston: Cengage Learning, 2016. ISBN 978-1-305-27010-7.

Doporučená literatura

DOUGHERTY, Christopher. [i]Introduction to econometrics. [/i] Fifth edition. Oxford: Oxford University Press, 2016. ISBN 978-0-19-967682-8.
JAMES, G., D. WITTEN, T. HASTIE and R. TIBSHIRANI. [i]An Introduction to Statistical Learning Applications in R. [/i] Stanford: Springer, 2012. Available from: http://www-stat.stanford.edu/~tibs/.
NEUSSER, Klaus. [i]Time series econometrics.[/i] Switzerland: Springer, 2016. Springer texts in business and economics. ISBN 978-3-319-32861-4 .


Language of instruction angličtina, španělština, angličtina, angličtina
Code 156-0557
Abbreviation EAR
Course title Economic analysis with R
Coordinating department Department of Applied Economics
Course coordinator doc. Antonio Rodríguez Andrés, Ph.D.