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Elasticities of QUAIDS

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Dear All,

I would really appreciate some help on this small problem about elasticities of QUAIDS. I am trying to obtain QUAIDS elasticities after running Poi(2012) program to estimate a 5-good demand system with 4 demographics characteristics. Running the following commands to estimate a QUAIDS model in Stata 13.1:
Code:
quaids w1-w5, anot(-0.5) prices(lnp1 lnp2 lnp3 lnp4 lnp5) expenditure(lnexp) demographics(urban gender n_child n_child2)
I obtain the following results of elasticities:

Code:
r(expelas)[1,5]
           c1                c2                 c3            c4             c5
r1  .82311241  .91568906   .7908274  .81933466  1.3261617

. matrix list r(sd)

r(sd)[1,5]
            c1               c2               c3               c4              c5
r1  .01527175  .01460235  .01458525  .02176879  .01435267

. estat compensated, atmeans s

. matrix list r(compelas)

r(compelas)[5,5]
               c1          c2                    c3                 c4              c5
r1  -.24044287  -.02529647  -.05285476  -.06828056   .38687466
r2  -.03484903  -.25424695   .05190327   .03419211    .2030006
r3  -.08702206   .06445886   .09122484   .02133644  -.08999808
r4  -.26893847   .10009551   .05015274   .06982124   .04886898
r5   .30676057   .11832691  -.04238769   .00972965  -.39242943

. matrix list r(sd)

r(sd)[5,5]
           c1                 c2              c3                 c4              c5
r1  .04527718  .01628243  .01870247  .01257599  .04450425
r2  .02195181  .01757055  .01246301   .0081183  .02590785
r3  .03093372  .01528899  .02503382   .0120289  .03706957
r4  .04943351  .02367454  .02858887  .02748113  .05718011
r5  .03525236  .01519679  .01773418  .01151118   .0462443

. estat uncompensated, atmeans s

. matrix list r(uncompelas)

r(uncompelas)[5,5]
             c1                c2               c3                 c4                c5
r1  -.45355101  -.18328694  -.18165071  -.12246904   .11784528
r2  -.27192575  -.43000684  -.09137854  -.02609102   -.0962869
r3  -.29177144  -.08733473  -.03251933   -.0307266   -.3484753
r4  -.48106853  -.05716985  -.07805208   .01588147  -.21892566
r5  -.03658968  -.13622023  -.24989792   -.0775764  -.82587746

. matrix list r(sd)

r(sd)[5,5]
           c1                c2               c3              c4                c5
r1  .04535169  .01675673  .01912559  .01266678  .04446165
r2  .02220219  .01803931  .01285638  .00821444  .02588299
r3  .03104427  .01572899  .02550891  .01210978  .03676878
r4  .04963895  .02433374  .02919871   .0276214  .05685844
r5  .03560589  .01572493  .01816765  .01161369  .04584926
However, the results of QUAIDS parameters are quite good

Thank you for any suggestion and advices

Kind regards
David

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