References
Adkins, Lee. 2014. Using Gretl for Principles of Econometrics, 4th Edition. Economics Working Paper Series. 1412. Oklahoma State University, Department of Economics; Legal Studies in Business. http://EconPapers.repec.org/RePEc:okl:wpaper:1412.
Allaire, JJ, Joe Cheng, Yihui Xie, Jonathan McPherson, Winston Chang, Jeff Allen, Hadley Wickham, Aron Atkins, and Rob Hyndman. 2016. Rmarkdown: Dynamic Documents for R. http://rmarkdown.rstudio.com.
Colonescu, Constantin. 2016. PoEdata: PoE Data for R.
Croissant, Yves, and Giovanni Millo. 2015. Plm: Linear Models for Panel Data. https://CRAN.R-project.org/package=plm.
Dahl, David B. 2016. Xtable: Export Tables to Latex or Html. https://CRAN.R-project.org/package=xtable.
Fox, John, and Sanford Weisberg. 2016. Car: Companion to Applied Regression. https://CRAN.R-project.org/package=car.
Fox, John, Sanford Weisberg, Michael Friendly, and Jangman Hong. 2016. Effects: Effect Displays for Linear, Generalized Linear, and Other Models. https://CRAN.R-project.org/package=effects.
Ghalanos, Alexios. 2015. Rugarch: Univariate Garch Models. https://CRAN.R-project.org/package=rugarch.
Graves, Spencer. 2014. FinTS: Companion to Tsay (2005) Analysis of Financial Time Series. https://CRAN.R-project.org/package=FinTS.
Grolemund, Garrett, and Hadley Wickham. 2016. R for Data Science. Online book. http://r4ds.had.co.nz/index.html.
Henningsen, Arne, and Jeff D. Hamann. 2015. Systemfit: Estimating Systems of Simultaneous Equations. https://CRAN.R-project.org/package=systemfit.
Hill, R.C., W.E. Griffiths, and G.C. Lim. 2011. Principles of Econometrics. Wiley. https://books.google.ie/books?id=Q-fwbwAACAAJ.
Hlavac, Marek. 2015. Stargazer: Well-Formatted Regression and Summary Statistics Tables. https://CRAN.R-project.org/package=stargazer.
Hothorn, Torsten, Achim Zeileis, Richard W. Farebrother, and Clint Cummins. 2015. Lmtest: Testing Linear Regression Models. https://CRAN.R-project.org/package=lmtest.
Hyndman, Rob. 2016. Forecast: Forecasting Functions for Time Series and Linear Models. https://CRAN.R-project.org/package=forecast.
Kleiber, Christian, and Achim Zeileis. 2015. AER: Applied Econometrics with R. https://CRAN.R-project.org/package=AER.
Komashko, Oleh. 2016. NlWaldTest: Wald Test of Nonlinear Restrictions and Nonlinear Ci. https://CRAN.R-project.org/package=nlWaldTest.
Lander, Jared P. 2013. R for Everyone: Advanced Analytics and Graphics. 1st ed. Addison-Wesley Professional.
Lumley, Thomas, and Achim Zeileis. 2015. Sandwich: Robust Covariance Matrix Estimators. https://CRAN.R-project.org/package=sandwich.
Pfaff, Bernhard. 2013. Vars: VAR Modelling. https://CRAN.R-project.org/package=vars.
R Development Core Team. 2008. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org.
Reinhart, Abiel. 2015. Pdfetch: Fetch Economic and Financial Time Series Data from Public Sources. https://CRAN.R-project.org/package=pdfetch.
Robinson, David. 2016. Broom: Convert Statistical Analysis Objects into Tidy Data Frames. https://CRAN.R-project.org/package=broom.
RStudio Team. 2015. RStudio: Integrated Development Environment for R. Boston, MA: RStudio, Inc. http://www.rstudio.com/.
Spada, Stefano, Matteo Quartagno, and Marco Tamburini. 2012. Orcutt: Estimate Procedure in Case of First Order Autocorrelation. https://CRAN.R-project.org/package=orcutt.
Trapletti, Adrian, and Kurt Hornik. 2016. Tseries: Time Series Analysis and Computational Finance. https://CRAN.R-project.org/package=tseries.
Wickham, Hadley, and Winston Chang. 2016. Devtools: Tools to Make Developing R Packages Easier. https://CRAN.R-project.org/package=devtools.
Xie, Yihui. 2014. Printr: Automatically Print R Objects According to Knitr Output Format. http://yihui.name/printr.
———. 2016a. Bookdown: Authoring Books with R Markdown. https://CRAN.R-project.org/package=bookdown.
———. 2016b. Knitr: A General-Purpose Package for Dynamic Report Generation in R. https://CRAN.R-project.org/package=knitr.
Zeileis, Achim. 2016. Dynlm: Dynamic Linear Regression. https://CRAN.R-project.org/package=dynlm.