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st: estout coefficient not found error
From
James Sams <[email protected]>
To
[email protected]
Subject
st: estout coefficient not found error
Date
Sun, 08 Jan 2012 23:47:02 -0600
I am using areg and several models, one model with month fixed effects. I
collect 288 models using eststo and output them to 4 separate files depending
on the dependent variable used using eststo's naming and wildcard expansion,
e.g. "estout depvar1*". I then try to use indicate(month FE = FE_month*) to
drop the month fixed effects and replace it with a simple indicator of whether
the FE's are there. This works several times and then fails.
There are 4 digits in the by_group code for where it is failing, though it
succeeds 6 times before it fails. with the message "coefficient FE_month* not
found". -describe- says the variables are there. I do not understand what is
causing this. I tried to create a sample dataset that caused the error, but
have failed to do so. Any and all advice is appreciated.
I'm using Stata 12 MP on OS X
. which estout
/Users/jsams/Library/Application Support/Stata/ado/plus/e/estout.ado
*! version 3.13 06aug2009 Ben Jann
I've got a potentially better formatted code sample available at
https://gist.github.com/1581338, but here it is also pasted below for easier
access.
quietly tab month, gen(FE_month_) /* Month fixed effects */
drop FE_month_1 /* First month fixed effect is dropped */
compress
/*
What I actually do is very very similar to how it is described below.
It may be worth noting that there is in fact an outer loop that uses only
enough
groups to fill but not overflow the storage limit of eststo (300 models). I
then
use my data file conditioning on the `by_group' being in a specified range to
satisfy that requirement. At the bottom of that loop is an "eststo clear" to
make
way for the new set of results.
This works for several loops but then dies eventually, but apparently
consistently,
during the 7th write out, for absolutely no obvious reason that I can see
with the
error message described below. For a differently selected `by_group', this
worked
fine, but only required 3 loops through the data as there were only about 750
separate
regressions to run whereas for the group I am working with now requires in
the
neighborhood of 16,000 regressions.
*/
local by_group some_group
levelsof `by_group', local(by_group_levels)
foreach by_group_level of local by_group_levels {
foreach dep_variable in log_expend_real percent_expend_PL
percent_expend_deal percent_expend_coupon {
// create local est_pre based on name of dep_var and assign variable
names to several other locals
// to create dep_variable dependent models
local dep_variable_name: variable label `dep_variable'
#delimit ;
estout `est_pre'm5uz, title() noesample:
areg `dep_variable' `key_indep_variable' recession
`variable_trend'
if `by_group' == `by_group_level'
, absorb(id) ;
estout `est_pre'm5fe, title() noesample:
areg `dep_variable' `key_indep_variable' FE_month*
if `by_group' == `by_group_level'
, absorb(id) ;
// and 2 more models
#delimit cr
}
// we are short on memory, this reduces memory required and speeds things
up
drop if `by_group' == `by_group_level'
}
foreach dep_variable in log_expend_real percent_expend_PL percent_expend_deal
percent_expend_coupon {
// recreate est_pre based on dep_variable
/* where drop is, I've tried
indicate(month FE's = FE_month*)
as well as a specific enumeration of all the month FEs in a
local macro month_indicators
indicate(month FE's = `month_indicators')
*/
#delimit ;
estout `est_pre'* using `"some_file-`dep_variable'.tsv"',
cells(b(nostar fmt(4)) se(nopar fmt(4)))
stats(r2 N, fmt(%9.4f %9.0g) label(R-squared Obs.))
label noabbrev nowrap drop(FE_month*)
numbers title("") nolegend replace ;
#delimit cr
}
/*
This worked on one specified by_group but is now failing with
- if `"`drop'"' != "" {
= if `"FE_month*"' != "" {
- ExpandEqVarlist `"`drop'"' `B'
= ExpandEqVarlist `"FE_month*"' __000000
coefficient FE_month* not found
*/
--
James Sams
[email protected]
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