Chris, without actually seeing the data and testing several assumptions then is is hard to advise you on appropriate tools. Nevertheless, a regression 'type' model would be, IMHO, a good first start. The end result might be linear, quadratic, or some other form.
If you want, contact me directly and we can take a prelim look, WMB Statistical Services mailto:[EMAIL PROTECTED] http://home.earthlink.net/~statmanz ======================================= "C.Rothe" <[EMAIL PROTECTED]> wrote in message news:<[EMAIL PROTECTED]>... > Hello, > > I could need some advice on the following problem: I have measurements of > certain similar economic variables in a fixed region over time (i.e. I have > unemployment > rates for different age groups in a country over the last 33 years). The > data set > also includes a number of explanatory variables (both economic and > socio-demographic). > > In the end, I want to be able to make statements like "Policy A will reduce > youth > unemployment, whereas Policy B affects all types of unemployment to the same > extend". > > Can anyone suggest a suitable class of models to approach this problem? > Linear > regression does not seem appropriate since I'm looking at time series data. > Somebody suggested to look at panel data analysis, but I'm not too sure > about > this either since the values of the explanatory variables would be the same > for all > groups. Does anyone have a better idea? > > Thanks > > Chris . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
