Panel Estimation

(This article was first published on BMS Add-ons » BMS Blog, and kindly contributed to R-bloggers)

This tutorial should illustrate how to employ bms with panel data. For the purpose of illustration we will use the data put forward in Moral-Benito (2011) and made publicly available at .

The data contains 35 variables (including the dependent variable, the growth rate of per capita GDP) for 73 countries and for the period 1960-2000. The dependent variable, GDP growth, is calculated for five year averages resulting into eight observations per country. Moral-Benito (2011) argues in favor of calculating averages of flow variables, while stock variables have been measured at the first year of each five-yer period.

The data can be downloaded here paneldat.rda.


To leave a comment for the author, please follow the link and comment on their blog: BMS Add-ons » BMS Blog. offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...


Comments are closed.