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st: RE: replace missing in panel data


From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   st: RE: replace missing in panel data
Date   Mon, 30 Jun 2008 17:00:54 +0100

This is discussed in an FAQ: 

FAQ     . . . . . . . . . . . . . . . . . . . . . . . Replacing missing
values
        2/03    How can I replace missing values with previous or
                following nonmissing values?
                http://www.stata.com/support/faqs/data/missing.html

The answer is to use -missing()- so that you pick up string missings as
well as numeric missings. 

By the way, I don't understand the motivation for the following rule.
Suppose a variable is missing at time 42 and present at times 41 and 43.
Your rule gives the priority to time 43. That seems arbitrary at best.
(I assume a sensible sort order, which is not explicit in your code.) 

Also, your loop won't do what you want. Instead of 

foreach var in  a1-z1 {

you need 

foreach var of var a1-z1 { 

Nick
[email protected] 

Dherani, Mukesh

I have duplicates (based on ID and date) in my panel dataset along with
missing information for many variables.  I want to replace missing
information with either previous [_n-1] or following [_n+1] row. The
problem is that the variables are not all numeric, some of them are
string. I wonder is there any way I can replace both types of variables
in one go?

foreach var in  a1-z1{
replace `var'=`var'[_n-1] if `var'==. & duplicate==1
replace `var'=`var'[_n+1] if `var'==. & duplicate==1
} 


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