--- Gray Kimbrough <[email protected]> wrote:
> I am attempting to replicate the approach of Haisken-DeNew and
> Schmidt's 1999 Review of Economics and Statistics paper and use
> restricted least squares to, in effect, constrain the weighted mean
> of dummy variables to be 0. Through google I have found a
> presentation by Haisken-DeNew on an ado file, hds97.ado, to
> implement this approach in stata, but I have not been able to find
> the actual ado file either within stata (i.e. findit) or elsewhere on
> the Internet.
The most obvious person to ask is Haisken-DeNew, but here is my stab at
it:
*------------- begin example -----------------
sysuse auto, clear
tempvar touse
gen byte `touse' = !missing(pri, mpg, foreign)
sum wei if `touse'
local tot = r(mean)*r(N)
sum wei if `touse' & foreign == 1
local wfor = r(mean)*r(N) /`tot'
sum wei if `touse' & foreign == 0
local wdom = r(mean)*r(N) / `tot'
gen domestic = !foreign if foreign < .
constraint 1 `wfor'*foreign + `wdom'*domestic = 0
cnsreg pri mpg foreign domestic, cons(1)
*------------------- end example --------------
(For more on how to use examples I sent to the Statalist, see
http://home.fsw.vu.nl/m.buis/stata/exampleFAQ.html )
Hope this helps,
Maarten
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
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