在模型结果中保存多项结果的类别名称

Saving category names of multinomial outcome in model results

我在 Stata 中 运行 多项逻辑回归模型并使用以下代码导出结果:

sysuse auto.dta, clear
describe
summ

postfile temp str100 exp str40 outcome adjust N beta se lci uci pval using ///
"\test_multinom_models.dta", replace

foreach out in rep78 {
foreach exp in price {
foreach adjust in 1 2{

if `adjust'==1 local adjusted "" 
if `adjust'==2 local adjusted "trunk" 

xi: mlogit `out' `exp' `adjusted', rrr

    local N = e(N) 
    matrix table=r(table)
    local matnames: colnames table
    tokenize `matnames'

    forvalues i = 1 / `= colsof(r(table))-1' {
        local beta = table[1,`i']
        local se = table[2,`i']
        local lci = table[5,`i']
        local uci = table[6,`i']
        local pval=table[4,`i']                         

        post temp ("``i''") ("`out'") (`adjust') (`N') (`beta') ///
                  (`se') (`lci') (`uci') (`pval')
    }                           
   }
  } 
 }
 postclose temp 
 use "\test_multinom_models.dta", clear
 export excel using "\test_multinom_models.xls", firstrow(variables) replace

但是,结果文件没有显示哪个估计与哪个类别的结果相关。

如何将此信息添加到结果文件中?

只需使用:

local matnames: colfullnames table

而不是:

local matnames: colnames table

结果:

. list exp beta se

     +---------------------------------+
     |       exp       beta         se |
     |---------------------------------|
  1. |   1:_cons   1.124016   3.845891 |
  2. |   1:_cons   61.51294   252.5805 |
  3. |   1:price   .9997586   .0006926 |
  4. |   1:price   .9994512    .000728 |
  5. |   1:trunk   .6101818   .1825584 |
     |---------------------------------|
  6. |   2:_cons   .5509481    .867367 |
  7. |   2:_cons   .3740141   .3564033 |
  8. |   2:price   .9999453   .0001431 |
  9. |   2:price   .9999547   .0001537 |
 10. |   2:trunk   .9706588    .099808 |
     |---------------------------------|
 11. | 3:o._cons          1          . |
 12. | 3:o._cons          1          . |
 13. | 3:o.price          1          . |
 14. | 3:o.price          1          . |
 15. | 3:o.trunk          1          . |
     |---------------------------------|
 16. |   4:_cons   2.724945   3.140763 |
 17. |   4:_cons    .775281     .54465 |
 18. |   4:price   .9999589   .0001027 |
 19. |   4:price   1.000004   .0001082 |
 20. |   4:trunk   .8986906   .0705406 |
     |---------------------------------|
 21. |   5:price   .9999378   .0001279 |
 22. |   5:price   1.000051   .0001324 |
 23. |   5:trunk   .7821434   .0803135 |
     +---------------------------------+