I'm trying to compare Oaxaca-Blinder decomposition results to OLS estimates regarding the male wage gap between work-limited disabled (DISTYPE =1) and non-disabled (DISTYPE = 3) (to note: DISTYPE is a categorical not a dummy variable).

I want to obtain results such that I have pooled, quarter 1 and quarter 5 OLS estimates for both DISTYPE = 1 and DISTYPE = 4. My dataset is 5 quarter and longitudinal, with variables ending in e.g 5 to represent they were a quarter 5 variable. Thus I had to 'reshape long'.

I have ran quarter 1 and quarter 5 estimates (shown below only for DISTYPE = 1):
Code:
 regress logGRSSWK WHITE i.AGE i.RESIDENCE i.INDUSTRY i.EDUCATION i.WORKREGION
i.JOBTENURE if DISTYPE == 1 & quarter == 1

regress logGRSSWK WHITE i.AGE i.RESIDENCE i.INDUSTRY i.EDUCATION
i.WORKREGION i.JOBTENURE if DISTYPE == 1 & quarter == 5
However, I am struggling to understand what 'pooled' would relate to here? This may be a foolish question but any help would be greatly appreciated