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RE: st: Tobit regression Model
From
Adel Enpaya <[email protected]>
To
"'Carlo Lazzaro'" <[email protected]>, "[email protected]" <[email protected]>
Subject
RE: st: Tobit regression Model
Date
Mon, 3 Dec 2012 14:10:51 +0000
HI guys
When I run Tobit regression model , I have 138 observations and only 19 variables include 13 dummy variables. However, when I reduce the number of variables to 18, I get results, if 19 , no results obtained , can anyone tell me what is the problem and how to be sorted
Ade
-----Original Message-----
From: Carlo Lazzaro [mailto:[email protected]] On Behalf Of Carlo Lazzaro
Sent: 02 December 2012 15:57
To: [email protected]
Cc: Adel Enpaya
Subject: R: st: Tobit regression Model
As Adel has probably heard during some statistics class, according to a long lasting rule-of-thumb, researcher should have around 20 observations for each predictor included in her/his multiple linear regression model. I would assume that this guidance may sound interesting for Tobit models, too.
Last time I came across this recommendation was in: Katz MH. Multivariable Analysis. A Practical Guide for Clinicians, 2nd edition. Cambridge:
Cambridge University Press, 2006: 81.
Kindest Regards,
Carlo
-----Messaggio originale-----
Da: [email protected]
[mailto:[email protected]] Per conto di Adel Enpaya
Inviato: domenica 2 dicembre 2012 11:25
A: '[email protected]'
Oggetto: RE: st: Tobit regression Model
Dear Stateliest
I have data set of 183 observations and 36 variables include 13 dummy variables when I run Tobit regression model, No results obtain, but if if I reduce the number of variable , I can obtains result, is there any relationship between number of variables, number and observations and (degree of freedom) Thanks Adel
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