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Re: st: RE: panel data
From
Deepti Garg <[email protected]>
To
"[email protected]" <[email protected]>
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: "[email protected]" <[email protected]>
To: [email protected]
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 <[email protected]>
Sender: [email protected]
Date: Fri, 27 Jan 2012 14:01:03
To: '[email protected]'<[email protected]>
Reply-To: [email protected]
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
[email protected]
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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