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LevyProcess
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Joined: August 29th, 2003, 12:07 am

Basic question

February 2nd, 2005, 4:48 pm

Hi everyone, i was wondering if anyone can assist me solve the following problem.I have one dependent variable Y and 5 independent variables X1, X2, X3, X4, X5.I want to determine the contribution of each independent variable to the realisation of Y. I believe that a multinomial logit model should enable me to do this. Can anyone explain how this works and how to implement it in SAS or SPSS?Thank you.
 
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exotiq
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Joined: October 13th, 2003, 3:45 pm

Basic question

February 2nd, 2005, 5:13 pm

What are you doing that's different than a straight 5-factor linear regression you can do with linest() in Excel?
 
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SPAAGG
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Joined: March 21st, 2003, 1:31 pm

Basic question

February 2nd, 2005, 6:22 pm

I agree with exoticCan you give use the type of variable you have (i.e dummy, continus, etc...). It might help us to give you an answer.You can also take a look at Principal Component Analysis
 
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LevyProcess
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Joined: August 29th, 2003, 12:07 am

Basic question

February 2nd, 2005, 7:43 pm

Ok exotiq and spaagg,assume that I want to look at how the following variables: Fico score, loan-to -ratio, coupon type ( fixed or ARM), loan balance, and geographical location impact the probability that a borrower would default on a loan. What would be the best model to perform that task?Thanks.
 
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SPAAGG
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Joined: March 21st, 2003, 1:31 pm

Basic question

February 3rd, 2005, 9:06 am

In that case, your multinomial logit model seem appropriate.However, I don't know the theory behind it. Can't help you more...
 
 
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GregWallace
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Joined: August 6th, 2004, 3:31 am
Location: United Kingdom
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Basic question

February 24th, 2005, 1:06 pm

Please provide some message in your topic heading so we know what you are asking about prior to digging deeper.Not doing this will lose most readers.