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# script to replicate Example 11.3 in Greene
open greene11_3.gdt
# run initial OLS
ols C 0 Y
genr essbak = $ess
genr essdiff = 1
genr b = $coeff(Y)
genr g = 1
# iterate OLS till the error sum of squares converges
loop while essdiff > .00001 --quiet
   # form the linearized variables
   genr C0 = C + g * b * Y^g * log(Y)
   genr x1 = Y^g
   genr x2 = b * Y^g * log(Y)
   # run OLS 
   ols C0 0 x1 x2 --print-final --no-df-corr --vcv
   genr b = $coeff(x1)
   genr g = $coeff(x2)
   genr ess = $ess
   genr essdiff = abs(ess - essbak)/essbak
   genr essbak = ess
endloop 
# print parameter estimates using their "proper names"
set echo off
printf "alpha = %g\n", $coeff(0)
printf "beta  = %g\n", b
printf "gamma = %g\n", g