long variable names in estimation output

[Zeev Maoz]

Is there a display option that allows me to get the estimation output (e.g., reg, logit, or even summarize) to provide full variable names for long variables (more than 12 characters)?

[William Lisowski]

If you make your results window wider, that will increase the linesize setting and if wide enough your long variable names won't be shortened - at least in the regress command.

. sysuse auto, clear
(1978 Automobile Data)

. rename displacement abcdefghijklmnopqrstuvwxyz

. regress price abcdefghijklmnopqrstuvwxyz

      Source |       SS           df       MS      Number of obs   =        74
-------------+----------------------------------   F(1, 72)        =     23.36
       Model |   155571304         1   155571304   Prob > F        =    0.0000
    Residual |   479494092        72  6659640.17   R-squared       =    0.2450
-------------+----------------------------------   Adj R-squared   =    0.2345
       Total |   635065396        73  8699525.97   Root MSE        =    2580.6

-------------------------------------------------------------------------------
        price |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
abcdefghijk~z |   15.89588   3.288859     4.83   0.000      9.33966     22.4521
        _cons |   3029.042   714.8736     4.24   0.000     1603.968    4454.117
-------------------------------------------------------------------------------

. display c(linesize)
80

. * made my window wider

. display c(linesize)
96

. regress price abcdefghijklmnopqrstuvwxyz

      Source |       SS           df       MS      Number of obs   =        74
-------------+----------------------------------   F(1, 72)        =     23.36
       Model |   155571304         1   155571304   Prob > F        =    0.0000
    Residual |   479494092        72  6659640.17   R-squared       =    0.2450
-------------+----------------------------------   Adj R-squared   =    0.2345
       Total |   635065396        73  8699525.97   Root MSE        =    2580.6

--------------------------------------------------------------------------------------------
                     price |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
abcdefghijklmnopqrstuvwxyz |   15.89588   3.288859     4.83   0.000      9.33966     22.4521
                     _cons |   3029.042   714.8736     4.24   0.000     1603.968    4454.117
--------------------------------------------------------------------------------------------

.

[Zeev Maoz]

Thanks, it works with estimation commands but not with summary.

[William Lisowski]

I confirm that it does not work with the summarize command in Stata 16.0 from 24 July 2019.

The output of help summarize suggests that while it supports many of the estimation display options, it does not support lsquish, which is what controls the solution used by estimation commands. Here is the start of a do-it-yourself approach to achieving output similar to summarize using the collapse command.

cls
sysuse auto, clear
rename displacement abcdefghijklmnopqrstuvwxyz
summarize price abcdefghijklmnopqrstuvwxyz
rename (price abcdefghijklmnopqrstuvwxyz) (v_=)
generate id = _n
reshape long v_, i(id) j(var) string
collapse (count) N=v_ ///
         (mean) Mean=v_ ///
         (sd) StdDev=v_ ///
         , by(var)
list, noobs

. summarize price abcdefghijklmnopqrstuvwxyz

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
       price |         74    6165.257    2949.496       3291      15906
abcdefghij~z |         74    197.2973    91.83722         79        425

. list, noobs

  +-----------------------------------------------------+
  |                        var    N      Mean    StdDev |
  |-----------------------------------------------------|
  | abcdefghijklmnopqrstuvwxyz   74   197.297   91.8372 |
  |                      price   74   6,165.3   2,949.5 |
  +-----------------------------------------------------+

[Zeev Maoz]

Stata 16 has an issue with the mean, over(x) command when the factor variable has negative values. This is not an issue in Stata 15. here is an example
mean rel_percapgdp, over(war_year). Any suggestions?
Zeev


The error message I get is this:
invalid over() option;
war_year: factor variables may not contain negative values
r(452);

With stata 15 and the same command I get:

Mean estimation Number of obs = 4,608

_subpop_1: war_year = -20
_subpop_2: war_year = -19
_subpop_3: war_year = -18
_subpop_4: war_year = -17
_subpop_5: war_year = -16
_subpop_6: war_year = -15
_subpop_7: war_year = -14
_subpop_8: war_year = -13
_subpop_9: war_year = -12
_subpop_10: war_year = -11
_subpop_11: war_year = -10
_subpop_12: war_year = -9
_subpop_13: war_year = -8
_subpop_14: war_year = -7
_subpop_15: war_year = -6
_subpop_16: war_year = -5
_subpop_17: war_year = -4
_subpop_18: war_year = -3
_subpop_19: war_year = -2
_subpop_20: war_year = -1
0: war_year = 0
1: war_year = 1
2: war_year = 2
3: war_year = 3
4: war_year = 4
5: war_year = 5
6: war_year = 6
7: war_year = 7
8: war_year = 8
9: war_year = 9
10: war_year = 10
11: war_year = 11
12: war_year = 12
13: war_year = 13
14: war_year = 14
15: war_year = 15
16: war_year = 16
17: war_year = 17
18: war_year = 18
19: war_year = 19
20: war_year = 20


Over Mean Std. Err. [95% Conf. Interval]

rel_percapgdp
_subpop_1 .7974137 .0280355 .7424508 .8523766
_subpop_2 .8231348 .0282492 .7677528 .8785168
_subpop_3 .8222696 .0332884 .7570084 .8875308
_subpop_4 .8341215 .0312841 .7727898 .8954532
_subpop_5 .8490373 .028684 .792803 .9052716
_subpop_6 .8735436 .0268457 .8209131 .926174
_subpop_7 .8667623 .0244916 .818747 .9147777
_subpop_8 .8796041 .0244383 .8316934 .9275149
_subpop_9 .8942777 .0255172 .8442519 .9443036
_subpop_10 .9091615 .0250422 .8600669 .9582562
_subpop_11 .9032334 .0211753 .8617197 .9447471
_subpop_12 .9228034 .025218 .8733641 .9722427
_subpop_13 .9201524 .0220391 .8769452 .9633597
_subpop_14 .9318283 .0201411 .892342 .9713145
_subpop_15 .9272858 .0190886 .889863 .9647086
_subpop_16 .9216099 .0178899 .8865371 .9566828
_subpop_17 .9407769 .0158415 .9097201 .9718338
_subpop_18 .9743824 .0084496 .9578171 .9909477
_subpop_19 1.004311 .0094961 .9856946 1.022928
_subpop_20 1 0 . .
0 1.015073 .0087466 .9979252 1.03222
1 1.03485 .0136915 1.008008 1.061692
2 1.041016 .015524 1.010581 1.07145
3 1.065815 .0189255 1.028712 1.102918
4 1.09796 .0224155 1.054015 1.141905
5 1.118874 .0253709 1.069135 1.168613
6 1.145478 .0258577 1.094784 1.196171
7 1.189122 .0288592 1.132544 1.2457
8 1.230058 .0329496 1.16546 1.294655
9 1.260731 .0360337 1.190088 1.331374
10 1.298719 .041549 1.217263 1.380175
11 1.316945 .0446624 1.229385 1.404505
12 1.348961 .0510046 1.248968 1.448954
13 1.380862 .0583403 1.266487 1.495237
14 1.442283 .0679952 1.30898 1.575586
15 1.492389 .0730039 1.349267 1.635512
16 1.555568 .0806995 1.397358 1.713778
17 1.577321 .0870413 1.406678 1.747963
18 1.623449 .0982935 1.430746 1.816151
19 1.692235 .1081686 1.480173 1.904298
20 1.723119 .1167607 1.494212 1.952026