I'm not sure the way I paste the result here is the same way you mentioned, but I left the result here.
I faced another issue of collinearity. As you see, my model is simple difference model of panel data with trend, but in this time, the result of trend is omitted in every time period. I analyzed difference model for two time period based 2014; so the time gap is 1,2,3,4 to 2015, 2016, 2017, 2018 respectively, I used the time gap as trend variable.
Is it fail to building model appropriately or coding?
Thank you for taking your time and answer in advance.


drop in 39/40
(2 observations deleted)

. encode occupation, gen(occ)


sort occ, stable

. by occ: gen time=_n

. tsset occ time
panel variable: occ (strongly balanced)
time variable: time, 1 to 2
delta: 1 unit

. gen lemp=log(근로자수)

. reg D.lemp trend D.lnMWRIIWMW

note: trend omitted because of collinearity

Source | SS df MS Number of obs = 19
-------------+---------------------------------- F(1, 17) = 0.41
Model | .016417834 1 .016417834 Prob > F = 0.5315
Residual | .684092334 17 .040240726 R-squared = 0.0234
-------------+---------------------------------- Adj R-squared = -0.0340
Total | .700510168 18 .038917232 Root MSE = .2006

------------------------------------------------------------------------------
D.lemp | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
trend | 0 (omitted)
|
lnMWRIIWMW |
D1. | -.0059717 .0093492 -0.64 0.532 -.0256969 .0137534
|
_cons | .083711 .0534071 1.57 0.135 -.0289683 .1963902
------------------------------------------------------------------------------