asdocx: Export from Stata to Word, Excel, LaTeX & HTML › Forums › asdocx Forum › Request for user command gologit2 support
Tagged: brant test, gologit2, ologit, ordinal logistic regression, user command
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Hi Dr. Shah,
asdoc
andasdocx
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 commandgologit2
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 confuseasdocx
.It runs only when I specify option
"isreg nest"
, butasdocx
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 tableasdocx
creates when it has the OLS estimates fromgologit2
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 thatasdocx
works better with already?Thank you!
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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