I have the next information:
I have 5 products, Credit Card, Personal Loan, Mortgage, Auto Loan and Credit Line
I have the vintage, i.e. the date of openning for every customer and for every product for the last 6 months
I have the information if the product is active or not
The information is for every customer
The information is in a database as follows:
IDCUSTOMER INCOME VINTAGE_AUTO VINTAGE_TDC VINTAGE_SPL VINTAGE_MTG VINTAGE_SL
123456 $123456.00 200606 . . 201106 .
123457 $145.00 . 200001 200012 . .
and so on, i.e., if the customer do not have certain product then there is not going to be information about that product.
I want to predict if the customer obtain e.g. a Creditc Card, which is the probability of keeping the credit card, obtain another credit card or choose another product.
I've beeing reading for proc IML but I can't run that proc.
Please help me to do that, or maybe I need some other information.
To clarify, it sounds like you have read the article "Markov transition matrices in SAS/IML" (or maybe this SAS Global Forum paper) and those articles do what want, but you do not have access to SAS/IML software? Is that correct?
The documentation for the STATESPACE procedure in SAS/ETS indicates that it can estimate a transition matrix for the data and use it for predictions. Do you have access to SAS/ETS software? If so, I will move this thread to the Forecasting Community.
That is correct, I've beeing reading "Markov transition matrices in SAS/IML" but I don't have acces to SAS/IML, on the other hand, I have not accesos to SAS/ETS, only to SAS Entrerprise Guide.
I'll love your help.
Sorry, but I have no further suggestions. If all you need is the steady-state vector, I suppose you could program the matrix iteration in FCMP, but most analyses of Markov chains also use eigenvalues, matrix inverses, and other techniques in numerical linear algebra.
How is the program ot the matrix iteration in FCMP (what does FCMP means?)
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