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RE: st: Tobit regression Model


From   Adel Enpaya <Adel.Enpaya@uws.ac.uk>
To   "'Carlo Lazzaro'" <carlo.lazzaro@tiscalinet.it>, "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
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:carlo.lazzarohe@gmail.com] On Behalf Of Carlo Lazzaro
Sent: 02 December 2012 15:57
To: statalist@hsphsun2.harvard.edu
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: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Adel Enpaya
Inviato: domenica 2 dicembre 2012 11:25
A: 'statalist@hsphsun2.harvard.edu'
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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