[R] Labour Statistics
gabraham at csse.unimelb.edu.au
Wed Oct 15 04:40:35 CEST 2008
> Hi everyone,
> This is not so much of an R question as a statistics question. I
> currently work for the largest pre employment screening company in
> Canada. Upper management has noticed that noticed that usually a month
> or so before any big kind of economic shock happens, that our incoming
> files (requests for a background check) jump up or down.
> As the company statistician, they've asked me to see if the relationship
> is strong enough to put together a product that can be sold to any kind
> of firm or organization (brokerages or any kind of investing firm,
> federal ministry of finance, statistics canada (like the bureau of stats
> in the USA), universities etc)
> In Canada on the 10th of every month, statistics canada releases labour
> statistics for the previous month. The way CFO sees it, *ideally* on the
> (1st to 10th, something like that) every month, the firm I work for
> could be releasing data for the rest of the month.
> What I'm trying to figure out is if you were in the position of
> evaluating the final product for purchase, what kind of information
> would make the product credible/viable? Summary statistics? Variance
> covariance matrices? Graphs of the data? Cross Correlation matrices for
> time series analysis?
> It's frustrating because I can see a noticeable relationship between our
> file volume and the unemployment rate (in particular,) but I'm not sure
> how to appropriately frame it in a way that another statistician/modeler
> would want the data.
Why not start with some simple plots of the relationships between your
variables? Once you have a feel for the problem, you can look into
modelling it more formally using a suitable regression model.
Dept. CSSE and NICTA
The University of Melbourne
Parkville 3010, Victoria, Australia
email: gabraham at csse.unimelb.edu.au
More information about the R-help