Re: st: nlsur function evaluator program QUAIDS with demographics

[nathalie me-nsope <nmensope@gmail.com>]

Hi ,
I am also having similar problems with estimating a QUAIDS model using
nlsur-quaids. Censoring is a problem in my data and I also have
demographic variables. I sent a post earlier asking for help on how to
write an nlsur quaids program that correctly takes account of
censoring. I have not had any reply yet. Yes, the QUAIDS command is
great but with a high proportion of the sample reporting
non-consumption it is kind of limited.  I will appreciate any advice
or help with nlsur quaids and censoring.

Nathalie

On Fri, Mar 8, 2013 at 12:59 PM, Roberta Distante <r_distante@yahoo.it> wrote:
> The problem of -quaids-  it does not allow one to have/compute standard errors of elasticities. That is why I was trying to write my program and estimate those through -nlcom-.
>
> Thanks, anyway
>
> Il giorno 08/mar/2013, alle ore 18:51, Jorge Eduardo Pérez Pérez <perez.jorge@ur.edu.co> ha scritto:
>
>> You can use Brian Poi's recent command -quaids- to handle all these
>> problems for you.
>>
>> -ssc install quaids-
>> _______________________
>> Jorge Eduardo Pérez Pérez
>>
>>
>> On Fri, Mar 8, 2013 at 10:39 AM, RD <r_distante@yahoo.it> wrote:
>>> Dear Statalist-ers,
>>>
>>> I am trying to write a function evaluator program using -nlsur- in Stata 12 to estimate a QUAIDS model (Banks et al., Restat 1997) with household demographics. So far, I had no success, as Stata returns an error message:
>>>
>>> 'nlsurtry returned 199
>>>    - di as error "verify that nlsur`eqn' is a function evaluator program"
>>>    = di as error "verify that nlsurtry is a function evaluator program"
>>> verify that nlsurtry is a function evaluator program
>>>    - exit _rc'
>>>
>>> I do not understand what I am doing wrong.
>>>
>>> Also, copying the nlsurquaids program (st0029_1) by Brian Poi (2008) - which works properly - in a .ado file with a different name, placed in the same directory or in other directories "sysdir set", Stata returns the same exact error. I am puzzled.
>>>
>>> Another silly question: is it possible to write a function evaluator program including, e.g., 15 "potential" demographic variables, but practically feeding it with, say, 7? I was wondering it because otherwise I should write different programs for different sets of demographics.
>>>
>>> Last, but not least, when I use -nlcom- to compute elasticities, should I type variable mean values (for the full sample or for a subsample) to be multiplied to the coefficients or it is allowed to type variable names?
>>>
>>> Here follows the code, slightly modified to include only one demographic variable (z1), which I plan to enlarge with more demographics.
>>>
>>> Thanks in advance for your help.
>>>
>>>
>>> // Demographics z_k enter as taste-shifters into the share equations and,
>>> // to mantain integrability, are part of the a_i terms in the price index:
>>> // ln[a(p)] = a_0 + sum_i[a_i + sum_k(a_ik*z_k)]*ln(p_i) +
>>> // 1/2*sum_isum_j[g_ij*ln(p_i)*ln(p_j)]
>>> // the model in share form looks like:
>>> // w_i = a_i + sum_k(a_ik*z_k) + sum_j[g_ij*ln(p_j)] + b_i*ln[m/a(p)] +
>>> // [l_i/b(p)]*ln[m/a(p)]^2
>>> // where w_i=share of good i, p_i=price of good i, etc.
>>> // b(p)=prod_i(p_i^b_i)
>>>
>>> program nlsurtry
>>>
>>> version 10
>>> syntax varlist(min=9 max=9) if, at(name)
>>> tokenize `varlist'
>>> args w1 w2 w3 lnp1 lnp2 lnp3 lnp4 lnm z1
>>> tempname a1 a2 a3 a4
>>> scalar `a1' = `at'[1,1]
>>> scalar `a2' = `at'[1,2]
>>> scalar `a3' = `at'[1,3]
>>> scalar `a4' = 1 - `a1' - `a2' - `a3'
>>> tempname az11 az12 az13 az14
>>> scalar `az11' = `at'[1,4]
>>> scalar `az12' = `at'[1,5]
>>> scalar `az13' = `at'[1,6]
>>> scalar `az14' = -`az11' - `az12' - `az13'
>>> tempname b1 b2 b3 b4
>>> scalar `b1' = `at'[1,7]
>>> scalar `b2' = `at'[1,8]
>>> scalar `b3' = `at'[1,9]
>>> scalar `b4' = -`b1' - `b2' - `b3'
>>>
>>> tempname g11 g12 g13 g14
>>> tempname g21 g22 g23 g24
>>> tempname g31 g32 g33 g34
>>> tempname g41 g42 g43 g44
>>> scalar `g11' = `at'[1,10]
>>> scalar `g12' = `at'[1,11]
>>> scalar `g13' = `at'[1,12]
>>> scalar `g14' = -`g11' - `g12' - `g13'
>>>
>>> scalar `g21' = `g12'
>>> scalar `g22' = `at'[1,13]
>>> scalar `g23' = `at'[1,14]
>>> scalar `g24' = -`g21' - `g22' - `g23'
>>>
>>> scalar `g31' = `g13'
>>> scalar `g32' = `g23'
>>> scalar `g33' = `at'[1,15]
>>> scalar `g34' = -`g31' - `g32' - `g33'
>>>
>>> scalar `g41' = `g14'
>>> scalar `g42' = `g24'
>>> scalar `g43' = `g34'
>>> scalar `g44' = -`g41' - `g42' - `g43'
>>> tempname l1 l2 l3 l4
>>>
>>> scalar `l1' = `at'[1,16]
>>> scalar `l2' = `at'[1,17]
>>> scalar `l3' = `at'[1,18]
>>> scalar `l4' = -`l1' - `l2' - `l3'
>>>
>>> quietly {
>>> tempvar lnpindex
>>> gen double `lnpindex' = 5 + `a1'*`lnp1' + `a2'*`lnp2' + `a3'*`lnp3' + `a4'*`lnp4' + `az11'*`z1'*`lnp1' + `az12'*`z1'*`lnp2' + `az13'*`z1'*`lnp3' + `az14'*`z1'*`lnp4'
>>>
>>> forvalues i = 1/4 {
>>> forvalues j = 1/4 {
>>> replace `lnpindex' = `lnpindex' + 0.5*`g`i'`j''*`lnp`i''*`lnp`j''
>>>          }
>>>  }
>>> tempvar bofp
>>> gen double `bofp' = 0
>>> forvalues i = 1/4 {
>>> replace `bofp' = `bofp' + `lnp`i''*`b`i''
>>> }
>>> replace `bofp' = exp(`bofp')
>>> replace `w1' = `a1' + `az11'*`z1' + `g11'*`lnp1' + `g12'*`lnp2' +  `g13'*`lnp3' + `g14'*`lnp4' + `b1'*(`lnm' - `lnpindex')  +  `l1'/`bofp'*(`lnm' - `lnpindex')^2
>>> replace `w2' = `a2' + `az12'*`z1' + `g21'*`lnp1' + `g22'*`lnp2' +  `g23'*`lnp3' + `g24'*`lnp4' + `b2'*(`lnm' - `lnpindex')  +  `l2'/`bofp'*(`lnm' - `lnpindex')^2
>>> replace `w3' = `a3' + `az13'*`z1' + `g31'*`lnp1' + `g32'*`lnp2' + `g33'*`lnp3'  + `g34'*`lnp4' + `b3'*(`lnm' - `lnpindex')  +  `l3'/`bofp'*(`lnm' - `lnpindex')^2
>>>
>>> }
>>> end
>>>
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