asdocx: Export from Stata to Word, Excel, LaTeX & HTML Forums asdocx Forum Request for user command gologit2 support

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  • Jessica L
    Participant
    Post count: 4

    Hi Dr. Shah,

    asdoc and asdocx have been very helpful for the past 2 years, so thank you for maintaining and improving these packages.
    However, recently in my data I’ve found my OLS models violate the parallel regression assumption (or Brant test). User command gologit2 was recommended to me in order to improve my models, and it generates a lot of output that is useful for interpretation, but seems to confuse asdocx.

    It runs only when I specify option "isreg nest", but asdocx creates a table out of the last output from gologit2, which is often not the OLS estimates. Using the following commands you can see the table asdocx creates when it has the OLS estimates from gologit2 are still less than desirable:

    net install gologit2 fr(http://fmwww.bc.edu/RePEc/bocode/g)
    
    webuse fullauto
    
    asdocx gologit2 rep77 i.foreign length mpg, ///
           isreg nest reset save(gologit2.docx) replace 

    Is it possible to add more functionality for gologit2 in the future, or is there a similar command that asdocx works better with already?

    Thank you!

    Attaullah Shah
    Moderator
    Post count: 76

    I have added gologit2 to asdocx. Since the output of the gologit2 comprises of three groups of estimates, asdocx add the group name as a prefix, that is fair, average, good. See this example

    *Update asdocx
    asdocx_update
    
    * Use example data
    webuse fullauto
    
    *Add three nested models
    asdocx gologit2 rep77 i.foreign length mpg, replace nest
    asdocx gologit2 rep77 i.foreign length mpg trunk ,  nest
    asdocx gologit2 rep77 i.foreign  mpg trunk ,  nest 
    Table: Regression results
    (1) (2) (3)
    rep77 rep77 rep77
    0bn.foreign
    1.foreign 3.07 167.059 -1.596
    (7.081) (38570.529) (1.601)
    length 0.447 17.56
    (0.316) (3337.642)
    mpg 0.505 24.289 -0.444
    (0.851) (7408.473) (0.45)
    trunk -23.61 -0.097
    (3518.731) (0.281)
    Intercept -89.731 -3524.318 13.323
    (63.983) (744600.61) (12.56)
    Fair:0bn.foreign
    Fair:1.foreign 2.42* 1.861 1.213
    (1.346) (1.341) (0.904)
    Fair:length 0.054 0.028
    (0.042) (0.051)
    Fair:mpg 0.26 0.279 0.224**
    (0.159) (0.176) (0.113)
    Fair:trunk 0.108 0.182*
    (0.134) (0.107)
    Fair:Intercept -14.632 -11.379 -5.968*
    (11.076) (12.276) (3.335)
    Average:0bn.foreign
    Average:1.foreign 3.569*** 3.37*** 1.524**
    (1.077) (1.09) (0.728)
    Average:length 0.123*** 0.122***
    (0.039) (0.043)
    Average:mpg 0.358*** 0.372*** 0.094
    (0.132) (0.137) (0.059)
    Average:trunk 0.005 0.177*
    (0.118) (0.092)
    Average:Intercept -32.637*** -32.861*** -5.5**
    (10.241) (10.664) (2.27)
    Good:0bn.foreign
    Good:1.foreign 19.883 24.247 20.503
    (1501.655) (7320.255) (2304.349)
    Good:length 0.058 0.038
    (0.057) (0.069)
    Good:mpg 0.001 -0.032 -0.053
    (0.12) (0.125) (0.085)
    Good:trunk 0.197 0.241
    (0.217) (0.205)
    Good:Intercept -30.528 -32.583 -22.73
    (1501.716) (7320.271) (2304.351)
    Observations 66 66 66
    Pseudo R2 0.276 0.329 0.154
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