Hi Everyone
I am trying to estimate bounds for my treatment effect with Behaghel et al.'s command "callagain" (which can be found here). For it to run one needs the following:
The command looks the following way:
callagain laoindex treatment nonmissing reminder, ytype("cont") graph
However, whenever I run this command, Stata tells me:
"variable Z not found"
I also tried to run it on another computer and with a Stata-provided example data set, leaving me with the same error.
Did anyone encounter a similar problem with this command? If so, were you able to fix it?
Thanks a lot for the help!
Best,
Arto
I am trying to estimate bounds for my treatment effect with Behaghel et al.'s command "callagain" (which can be found here). For it to run one needs the following:
- dependent variable y: in my case it is a standardized index variable called; laoindex
- treatment variable Z: in my case this is just a binary treatment variable; treatment
- response variable R: in my case this is a binary variable that indicate nonmissingness; nonmissing
- number of calls variable N: in my case this is how many reminders were sent out {0,1,2}; reminder
The command looks the following way:
callagain laoindex treatment nonmissing reminder, ytype("cont") graph
However, whenever I run this command, Stata tells me:
"variable Z not found"
I also tried to run it on another computer and with a Stata-provided example data set, leaving me with the same error.
Did anyone encounter a similar problem with this command? If so, were you able to fix it?
Thanks a lot for the help!
Best,
Arto
Code:
* Example generated by -dataex-. For more info, type help dataex
clear
input float(laoindex treatment nonmissing reminder)
-.2879483 0 1 2
-1.9779216 0 1 2
-1.5065705 0 1 0
1.1951087 0 1 0
-.09251682 0 1 0
-.11548679 1 1 1
. 0 0 2
. 1 0 2
1.746948 1 1 0
-.56386805 0 1 0
. 0 0 2
-.012028575 0 1 1
-1.0352192 0 1 0
. 1 1 2
-.2879483 0 1 0
-.575353 1 1 0
-1.5065705 1 1 1
. 0 1 2
. 1 1 2
-.4718948 1 1 1
2.2182992 0 1 0
. 1 0 2
. 0 0 2
1.1951087 1 1 0
1.275597 0 1 0
-1.0352192 1 1 0
1.5630016 0 1 0
-1.322624 0 1 0
-2.449273 1 1 1
-1.0352192 0 1 1
. 0 0 2
. 0 0 2
2.2182992 0 1 2
. 0 0 2
1.379055 0 1 0
-.11548679 1 1 2
-.58683795 0 1 0
-2.449273 1 1 1
. 0 0 2
1.746948 0 1 0
1.746948 0 1 0
. 0 0 2
.9077039 0 1 1
. 1 1 2
-.2994333 1 1 0
.5398109 0 1 0
-.2994333 0 1 2
. 0 0 2
1.746948 0 1 0
.6317841 0 1 0
1.379055 1 1 0
. 0 0 2
. 0 0 2
. 0 0 2
. 0 1 2
. 0 0 2
-.58683795 1 1 0
.6432691 0 1 0
. 0 0 2
. 0 0 2
. 1 0 2
. 0 0 2
2.2182992 0 1 1
. 0 0 2
1.5630016 0 1 0
-1.9779216 0 1 0
-1.5065705 1 1 2
. 0 0 2
.3558644 0 1 1
-.09251682 0 1 2
2.2182992 0 1 0
-1.0352192 0 1 0
. 0 0 2
. 0 0 2
. 0 0 2
. 1 0 2
. 0 0 2
. 0 0 2
-1.0352192 0 1 2
. 1 0 2
-1.6100286 0 1 0
-.7707845 0 1 1
. . 1 .
. 1 0 2
. 1 0 2
1.746948 1 1 0
. 0 0 2
. 0 0 2
. 0 0 2
.7237574 1 1 0
-1.5065705 1 1 1
2.2182992 0 1 1
.25240618 1 1 0
. 0 1 2
. 0 0 2
. 0 0 2
-.20746003 1 1 0
-.575353 1 1 0
. 0 1 2
. 0 0 2
end

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