TABLE LoG WAGE REGRESSIONS BY Sex MEN (N-1.593) WOMEN (N = 1.446) (1) (2) (5) (5) (6) Black -244 -.196 -,072 -185 -155 .

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Table Log Wage Regressions By Sex Men N 1 593 Women N 1 446 1 2 5 5 6 Black 244 196 072 185 155 1 (45.32 KiB) Viewed 59 times

TABLE LoG WAGE REGRESSIONS BY Sex MEN (N-1.593) WOMEN (N = 1.446) (1) (2) (5) (5) (6) Black -244 -.196 -,072 -185 -155 .035 C.026) 0.025) 0.027) (029) 0.027) (031) Hispanic -.113 - 045 .005 -028 057 .145 (,030) (029) 0.030) (033) (.031) (032) Age .048 016 040 .010 .009 .023 (014) (013) (013) (015) 0.014) (015) AFQT .172 .228 (012) (2015) AFQT -2013 015 c011) (013) High grade by 1991 ** 061 088 (.005) 0.005) R .059 155 .168 .029 191 .165 NOT-The dependent variable the line of a The 1900 1901 AB are red in den besh year, the winners of the workom. Wage Grow $100 to 175 we donned from the data The wrople can of the NLSY Cresten ampe the upplemnul umplereaks w panies Respondere he dado take the ASVAB we listed from the sample. Further. 188 repondere inated bere the recorda documentare als the text. All repedents were bere al 1961. Sundard Errone in parehe . Given the table above, Neal and Johnson observe a positive effect of being black on wage for women in their full model (row 1. column 6). Is this result statistically significant? Why? Yes, because 0.0351