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Define a variable male=1-female and run a regression of years of education on female (the original variable) and male (the one you just created). Report
Define a variable male=1-female and run a regression of years of education on female (the original variable) and male (the one you just created). Report the results. What is the econometric problem with such a regression?
female | incomehi | black | hispanic | dadcoll | momcoll | ownhome | urban | cue80 | stwmfg80 | dist | bytest | tuition | ed |
0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 6.2 | 8.09 | 0.2 | 39.15 | 0.88915 | 12 |
1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7.2 | 8.85 | 0.4 | 54.85 | 0.84988 | 15 |
0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 5.9 | 8.09 | 3 | 64.74 | 0.88915 | 13 |
1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5.9 | 8.09 | 3 | 56.06 | 0.88915 | 15 |
1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 5.9 | 8.09 | 3 | 42.22 | 0.88915 | 12 |
1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 8.2 | 7.54 | 0.8 | 61.12 | 0.81871 | 16 |
1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 8.2 | 7.54 | 0.8 | 61.9 | 0.81871 | 17 |
1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 8.2 | 7.54 | 0.8 | 48.86 | 0.81871 | 13 |
0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 8.2 | 7.54 | 0.8 | 56.03 | 0.81871 | 14 |
1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 8.2 | 7.54 | 0.8 | 53.71 | 0.81871 | 17 |
1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 8.2 | 7.54 | 0.8 | 55.87 | 0.81871 | 16 |
1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 8.2 | 7.54 | 0.8 | 54.22 | 0.81871 | 13 |
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