This is my first post on the R-Bloggers feed. R-Bloggers is an excellent collection of R-related blogs and sites for R enthusiasts. Add it to your bookmark list, for those who haven’t already done so, and my thanks to those who maintain the site ...

As a follow-up to my post examining the stationarity of the new property price index, this post will briefly look at some of the dynamics of mortgage debt and property prices; all data is monthly, from the beginning of 2005 to March 2011. This will also serve as an illustration of the ‘vars‘ and ‘urca‘

On Friday, the CSO released a new house (and apartment) price index, for the national, Dublin, and national excluding Dublin regions. The release has been noted and covered by the great Irish Economy and Namawinelake blogs. I want to briefly look at some of the statistical properties of this series in more detail. Below is

One prominent feature of early degree-level macroeconomics courses is the concept of ‘potential output’, which one could roughly define as the level of output (GDP) at which inflation is not ‘accelerating’. Potential output is of interest to macroeconomists when analysing the question of output gaps and macroeconomic stabilisation policies by governments, whether that be in

What’s a “Friday fun project”? It’s a small computing project, perfect for a Friday afternoon, which serves the dual purpose of (1) keeping your programming/data analysis skills sharp and (2) providing a mental break from the grind of your day job. Ideally, the skills learned on the project are useful and transferable to your work

Some time over the past 6 weeks I randomly saw a tweet announcing the “Data Scientist Summit” and shortly below it I saw that it would be held in Las Vegas at the Venetian. Being a Data Scientist myself is reason enough to not pass up this opportunity, but Vegas definitely sweetens the deal! On Wednesday I woke up...

Last week Le Monde puzzle (I have not received this week issue yet!) was about deriving an optimal strategy in less than 25 steps for finding the 25 answers to a binary multiple choice test, when at each trial, only the number of correct answers is known. Hence, if the correct answers are y1,…,y25, and

Boris from Ottawa sent me this email about Introducing Monte Carlo Methods with R: As I went through the exercises and examples, I believe I found a typo in exercise 6.4 on page 176 that is not in the list of typos posted on your website. For simulation of Gamma(a,1) random variables with candidate distribution