First and foremost, I feel much sympathy for people who have lost their job. Furthermore, I find the cyclical nature of the unemployment level in the USA highly fascinating. And the USA seems to be doing well right now:

 (Data source here).

Recently I received a question from a researcher at the World Trade Center Health Registry (WTCHR). The WTCHR is a prospective cohort study of the physical and psychological effects of the 9/11 terrorist attacks. I was asked how to prepare a dataset for inverse probability of censoring weighting (IPCW) with the R package ipw. In response I wrote a tutorial with R code and simulated example data.

I have published the R package "elections", including a dataset with the outcomes of the USA presidential election, as well as possible predictors. I am planning to fit predictive models to these data, but haven't gotten around to it yet. However, I am very happy that the package has already been used for an interesting analysis and blog post by Ryan Ferris of Bellingham Politics and Economics.