Hello everyone, so I run a pooled OLS regression on panel data of log real monthly wage on education, age, sex, marital status, job sector, and more and got a pretty high R squared of 0.45, F-value of 43.19 and significant P-value, however with "hettest", heteroskedasticity was detected. I plotted the residual vs fitted values, and found them to look like this: Array

Since a lot of values are far from zero, what does this mean? Should I just reconsider the regression predictors, or is there something wrong with the data?It does have a lot of missing values but those get eliminated. Sorry but I'm pretty new.
Here is a clip of the data:


Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input int age byte(education sex region maritalstatus urban) long mainjobcode float Year
33 16 2 2 1 0 6 2009
18  . 2 4 5 1 . 2009
34  . 2 4 5 1 . 2009
19  . 1 1 4 0 . 2009
28  . 2 2 1 0 6 2009
19  . 1 4 5 1 . 2009
32 14 2 4 1 0 6 2009
14  . 1 4 5 0 6 2009
17  . 1 4 5 0 6 2009
28 61 1 2 5 1 5 2009
.  . 2 2 . 1 . 2009
.  . 1 4 . 0 . 2009
30 61 1 1 5 1 . 2009
26  . 1 3 5 1 . 2009
14  . 2 2 5 0 . 2009
28  . 1 1 3 0 7 2009
50  . 1 2 1 1 9 2009
42  . 2 1 1 1 . 2009
.  . 2 1 . 1 . 2009
33 51 1 3 1 1 3 2009
30 31 1 1 1 0 9 2009
29 41 1 4 5 1 7 2009
32 14 2 2 1 0 6 2009
16  . 1 2 5 0 6 2009
14  . 2 2 5 0 . 2009
29  . 1 4 5 0 9 2009
23 15 1 3 5 0 6 2009
20 14 1 1 5 1 . 2009
30 31 2 1 1 1 6 2009
21 17 2 4 3 0 9 2009
.  . 1 3 . 0 . 2009
59 12 1 3 1 0 9 2009
21  . 2 1 4 0 . 2009
.  . 2 2 . 0 . 2009
40  . 2 1 1 0 6 2009
24  . 2 2 1 0 . 2009
50  . 2 1 4 0 5 2009
18  . 1 2 5 1 . 2009
.  . 1 4 . 0 . 2009
25  . 2 2 5 1 . 2009
.  . 2 2 . 0 . 2009
21 11 2 4 1 0 6 2009
.  . 2 2 . 0 . 2009
46 17 2 3 4 0 7 2009
28  . 1 2 5 1 5 2009
47 17 1 3 1 0 9 2009
21 13 2 1 3 1 . 2009
21  . 2 3 5 0 . 2009
14  . 2 2 5 0 6 2009
17  . 2 4 5 0 6 2009
43 12 2 2 1 0 6 2009
23 16 2 3 1 0 5 2009
58 15 2 1 3 0 6 2009
23  . 1 1 5 0 . 2009
28 17 2 2 1 0 6 2009
48  . 1 4 1 0 6 2009
41  . 2 2 1 0 6 2009
43  . 2 3 1 1 . 2009
36 17 1 4 1 0 6 2009
15  . 2 3 5 0 6 2009
15  . 2 1 5 0 . 2009
38  . 2 2 1 0 6 2009
15  . 1 1 5 0 . 2009
56 17 1 1 1 0 6 2009
22  . 1 3 5 1 . 2009
63 11 1 1 2 0 6 2009
44  . 2 4 4 0 6 2009
18 15 2 2 1 0 6 2009
27 17 1 4 1 0 6 2009
18  . 1 3 5 0 6 2009
46  . 1 2 1 0 6 2009
52 15 1 4 4 0 6 2009
16  . 1 2 5 0 . 2009
26  . 2 2 1 0 . 2009
.  . 2 2 . 0 . 2009
61  . 2 1 4 0 6 2009
15  . 1 1 5 1 . 2009
47 33 1 2 2 0 . 2009
35 13 2 3 2 0 6 2009
25  . 2 1 1 1 6 2009
16 14 2 1 5 0 6 2009
21  . 1 3 5 0 6 2009
21 17 1 1 5 0 . 2009
.  . 2 1 . 1 . 2009
45 14 1 3 1 1 5 2009
31  . 2 3 2 0 6 2009
14  . 1 1 5 0 6 2009
14  . 1 3 5 1 . 2009
15  . 1 4 5 0 6 2009
38 34 2 3 1 0 6 2009
17  . 2 4 5 1 . 2009
18 14 2 4 5 0 6 2009
29 41 1 4 1 0 9 2009
56 14 2 4 1 0 6 2009
41  . 2 4 1 0 6 2009
30 16 1 1 1 1 8 2009
61 33 2 1 1 0 6 2009
63 16 1 2 1 0 6 2009
16  . 1 2 5 0 6 2009
17  . 1 3 5 1 . 2009
end
label values education h4q7
label def h4q7 11 "Completed P.1", modify
label def h4q7 12 "Completed P.2", modify
label def h4q7 13 "Completed P.3", modify
label def h4q7 14 "Completed P.4", modify
label def h4q7 15 "Completed P.5", modify
label def h4q7 16 "Completed P.6", modify
label def h4q7 17 "Completed P.7", modify
label def h4q7 31 "Completed S.1", modify
label def h4q7 33 "Completed S.3", modify
label def h4q7 34 "Completed S.4", modify
label def h4q7 41 "Completed Post primary Specialized training or Certificate", modify
label def h4q7 51 "Completed Post secondary Specialized training or diploma", modify
label def h4q7 61 "Completed Degree and above", modify
label values sex h2q3
label def h2q3 1 "Male", modify
label def h2q3 2 "Female", modify
label values region region
label def region 1 "Central", modify
label def region 2 "Eastern", modify
label def region 3 "Northern", modify
label def region 4 "Western", modify
label values maritalstatus h2q10
label def h2q10 1 "Married monogamously", modify
label def h2q10 2 "Married polygamously", modify
label def h2q10 3 "Divorced / Separated", modify
label def h2q10 4 "Widow/Widower", modify
label def h2q10 5 "Never married", modify
label values urban urban
label def urban 0 "Rural", modify
label def urban 1 "Urban", modify
label values mainjobcode mainjobcode
label def mainjobcode 3 "Technicians and Associate Professionals", modify
label def mainjobcode 5 "Services and Sales Workers", modify
label def mainjobcode 6 "Skilled Agricultural, Forestry and Fishery Workers", modify
label def mainjobcode 7 "Craft and Related Trades Workers", modify
label def mainjobcode 8 "Plant and Machine Operators and Assemblers", modify
label def mainjobcode 9 "Elementary Occupations", modify