Hi, I'm getting the feeling you don't fully understand the meaning of Time-Series analysis. here is a nice start : http://www.abs.gov.au/websitedbs/d3310114.nsf/4a256353001af3ed4b2562bb00121564/b81ecff00cd36415ca256ce10017de2f!OpenDocument and a nice article about arima models: http://www.duke.edu/~rnau/411arim.htm now to answer your question: I do mean the dependent variable (which is aso the independent variable in AR models). and you can use it for both autoreg and arima. take care
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Hi, I believe what you are looking for is The arimax method (which is the same as arima but with independent variables). I would recommend inquiring each series separately so you can look at the structure of each series (unless you are looking for the average price of all car models.). BTW: why not using the difference between each time period ? (T2/T1-1) I SUGGEST YOU GOOGLE ABOUT ARIMAX. about AUTOREG - it is a simplier form of arima (AUTOREGRESSION-INTEGRATED-MOVING_AVERAGE) hope this helps. keep posting
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Hi, I'm using events in my project and have 2 events that occur on the same day, in manual software I've been using I would put interaction parameter (Event1 * Event2), Does SAS FS do that? thanks for any reply, Dekel
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Hi, Consider using DID method rather then time series analysis as the time factor in your question seems to be 'before' and 'after' you can start with this article: http://www.nber.org/WNE/lect_10_diffindiffs.pdf
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