Below you’ll find the data-sets I’ve used in my previous articles. The data are almost always in tab- or comma-separated format with a header row containing variable names. That is, you would read them into R with

data<-read.delim("file.csv",header=T)

I’m sure Stata’s import command and SPSS’s Import from file… function will do for those who don’t use R.

I haven’t included the R code I’ve used in my articles, because this is in many cases embarassing to look at again. Nevertheless, I’m happy to supply this on demand.

• Data from Agcom on screen-time. I used this data in my article, The Gospel Truths of Italian Media Bias. The data was scraped from PDFs put on the Agcom website. I cannot guarantee that it doesn’t contain errors.
• Data on turnover of public broadcasting executives. I used this data in my article, Explaining the de facto independence of public broadcasters. The data is based on Lexis-Nexis searches and information supplied in some cases from the broadcasters themselves. Some days of appointment dates, and exceptionally some months, are missing.
• Data on the de jure independence of public broadcasters. I used this data in my article, Explaining the de facto independence of public broadcasters. See the article for details on the sources of these data, and information about the variables contained.
• Comune-level electoral returns from the 2006 election and the 2008 election. I used these data in my working paper, Party mergers and vote shifts in Italy. The data were scraped from the Ministry of the Interior website.
• Roll-call data from the 14th [zipped tab-delimited alternate] and 15th [zipped tab-delimited alternate] sessions of the Italian Chamber of Deputies. These data have been cleaned by me and converted to a rollcall object from the pscl package in R. The data do not include votes on motions and ordini del giorno.