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Re: st: RE: panel data


From   Deepti Garg <deeptigarg78@yahoo.com>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: RE: panel data
Date   Tue, 7 Feb 2012 18:01:54 -0800 (PST)

Hi,

Thanks a lot Sola and Nick for guiding me towards multiple imputation.

However, some of commands like 'mim' are not working in my version of stata. I am using Stata 11. Can somebody please guide me towards the link that explains stata commands for "multiple imputation" in Stata 11.

Thanks!
Deepti


________________________________
From: "solafem7@yahoo.co.uk" <solafem7@yahoo.co.uk>
To: statalist@hsphsun2.harvard.edu 
Sent: Friday, January 27, 2012 10:46 PM
Subject: Re: st: RE: panel data

This link will help to understand multiple imputation:
ttp://www.ats.ucla.edu/stat/STATA/faq/mi_longitudinal.htm
I hope this help.
Sola
Sent from my BlackBerry wireless device from MTN

-----Original Message-----
From: Nick Cox <n.j.cox@durham.ac.uk>
Sender: owner-statalist@hsphsun2.harvard.edu
Date: Fri, 27 Jan 2012 14:01:03 
To: 'statalist@hsphsun2.harvard.edu'<statalist@hsphsun2.harvard.edu>
Reply-To: statalist@hsphsun2.harvard.edu
Subject: st: RE: panel data

How would you force Stata to use observations with missing values in any regression? What's a "best case scenario" here? Have you thought about multiple imputation? 


Nick 
n.j.cox@durham.ac.uk 

Deepti Garg


I have around 170 firms and around 16 variables in a panel data with firms having data for at the most 5 years. However,  I dont have data for all the firms for all the variables. So, when I run regression command, stata only picks the data which has the data for all the variables and my results are inappropriate.

However, when I run the regression with each independent variable separately, I get the desired results. Is it valid to run separate regressions for all the variables and analyse the
results. Or, is there any way where I can force stata to consider records which do not have all the data and take a best case scenario? 

Any help is appreciated. 

Thanks!
Deepti

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