st: Error after -predict- in -apc_ie-

[Steven Samuels <sjsamuels@gmail.com>]

-

Wincent Ronggui Huang  (ronggui.huang@gmail.com) wrote to me privately  
that advice that I had given in August about -predict- following - 
apc_ie- did not work.  (-apc_ie- is the age-period-cohort "intrinsic  
estimation" command.  It and apc_cglim ("generalized linear models  
with equality constraints on age-period-cohort effects") are commands  
in package -ap by Schulhofer-Wohl and Yang. ("net describe apc, from(http://fmwww.bc.edu/RePEc/bocode/a 
)".
I got mixed up and gave Wincent information about apc_cglim, not  
apc_ie.   -predict- works after -apc_cglim-, but after -apc_ie- it  
raises an error.  In the example do file that accompanies the package,  
the error message is:
". predict mu;
variable age_0 not found
r(111);"

I apologize to Wincent for my mistake.  I can only suggest that he  
contact the authors of -apc-.
Steve



> On Jan 2, 2011, at 9:55 PM, Wincent wrote:
>
>
> May I ask how to use the three options. It generates an error like  
> this,
> . use "apc_example_data.dta", clear
> . apc_ie death_f if age<=90,  age(age) period(year) cohort(cohort)
> family(poisson) link(log)   exposure(exp_f) agefx(A) cohortfx(C)
> periodfx(P)
> option agefx() not allowed
> r(198);
> On 1 August 2010 20:24, Steve Samuels <sjsamuels@gmail.com> wrote:
> > The -help- for -apc_ie-  indicates that it takes -glm- options, and
> > inspection of the source code reveals that it indeed calls -glm-. So
> > all -glm- post-estimation command should work. The answer to your
> > question is "yes", provided you use the agefx(), periodfx() and
> > cohortfx() options (not mentioned in the -help-) and keep the
> > generated variables. Run the second example in the accompanying do
> > file (net describe apc, from(http://fmwww.bc.edu/RePEc/bocode/a) and
> > do _not_ drop the generated variables _A* _P* and _C*. Then -predict-
> > should work as expected.
> >
> > Steve
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