How would you interpret the estimated coefficient on selfemp and the coefficient of familysz

reg insured selfemp c. age##c . age male married familysz i. degree Source d f MS Number of obs 8, 135 Model F (10, 8124) 190. 39584 136 .56 10 19 . 039584 Prob > F 11 Residual 1132 . 64485 0. 0900 8 , 124 . 139419602 R-squared 0 . 1439 Adj R-squared 11 11 11 Total 8 . 1429 1323 . 04069 8, 134 - 162655605 Root MSE - 37339 insured Coefficient Std. err. + P> It1 [95% conf. interval] selfemp . 1782116 - 0129394 -13 . 77 0. 0 00 -. 2035761 -. 152847 age . 0088347 . 0026192 3.37 0.001 . 8037004 . 013969 c . age#c . age - - 0000638 - 0000327 -1. 96 0 . 051 -. 0001279 1 . 61e-07 male -. 0389909 - 0083698 -4. 66 0 . 060 -. 0553979 - . 0225839 married - 1436684 - 0097265 14.77 0. 60 0 - 1246019 . 1627349 familysz - - 0190717 - 0028969 -6 . 58 8 . 060 - . 0247503 - . 0133931 degree HS diploma . 2511735 - 0125926 19.95 0 . 000 - 2264887 - 2758582 Bachelor's degree - 3213096 - 0150501 21 . 35 0. 000 - 2918077 - 3508116 Master's degree - 3412399 . 0201489 16.94 0 . 000 . 3017429 . 380737 Ph . D. - 3675645 . 0342809 10.72 0. 000 . 3003652 - 4347638 _cons 3322921 - 0501476 6 . 63 0. 000 2339899 . 4305943