I'm looking to examine both weekly earnings and the unemployment rate and then relate that to level of education and draw a conclusion. I'm having difficulty putting all of the information together.
If anyone can assist me that would be appreciated.
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If anyone can assist me that would be appreciated.
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input byte unemployed float wklyearn byte(lessthanhs highschool somepost diploma bach) 0 2188.4 0 0 0 0 1 0 881.25 0 0 0 1 0 0 1109.25 0 0 0 0 1 0 2107.875 0 0 0 0 1 0 880 0 0 0 1 0 0 1298 0 0 0 0 1 0 2692.4 0 0 0 1 0 0 6317.4 0 0 0 0 1 0 880 0 0 0 0 1 0 1250 0 0 1 0 0 0 980.625 0 0 0 0 1 0 1440 0 0 0 1 0 0 1876.25 0 0 0 0 0 1 . 0 0 0 0 0 0 1268.995 0 0 0 0 1 0 3173.25 0 0 0 0 1 0 720 0 1 0 0 0 0 768.24 0 1 0 0 0 0 910 0 0 0 0 1 0 1827 0 0 0 0 1 0 1900 0 0 0 1 0 1 . 0 0 0 0 1 0 1400 0 1 0 0 0 0 900.55 0 0 0 0 1 0 1653.882 0 0 0 0 1 0 990 0 0 0 1 0 0 1240 0 1 0 0 0 0 1120 0 0 1 0 0 0 826.8 0 1 0 0 0 0 1470 0 0 0 0 1 0 2330.5 0 1 0 0 0 0 1507.2 0 1 0 0 0 0 1461.6 0 0 0 1 0 0 2221.2 0 0 0 0 0 0 875 0 0 0 0 1 0 461.6 0 0 0 1 0 0 1066 0 0 0 0 1 0 2692.4 0 0 0 0 0 0 1442.4 0 0 0 0 1 0 1750 0 0 0 0 0 0 600 1 0 0 0 0 0 1762.5 0 0 0 0 1 0 2884.8 0 0 0 0 0 0 1654 0 0 0 0 1 0 1125.2 0 0 1 0 0 0 172.2 1 0 0 0 0 0 1923 0 0 0 1 0 0 609.2 0 0 0 1 0 0 480 0 1 0 0 0 0 1923 0 0 0 0 1 0 1730.625 0 0 0 0 1 0 400 0 0 1 0 0 0 2500 0 0 0 0 1 1 . 0 0 0 1 0 0 1320 0 1 0 0 0 0 1425 0 0 0 0 1 0 1904 0 0 0 0 1 0 2884.8 0 0 0 1 0 0 1769.2 0 0 0 0 0 0 1326.85 0 0 0 1 0 0 1950 0 0 0 0 0 0 712 0 0 0 1 0 0 800 0 1 0 0 0 0 2884.5 0 1 0 0 0 0 304 0 1 0 0 0 0 1040 0 0 0 1 0 0 720 0 0 0 1 0 0 1087.5 0 0 0 1 0 0 1346.25 0 0 0 0 1 0 1091.6 0 0 0 1 0 0 1480 0 0 0 1 0 0 510 0 0 0 0 1 1 . 0 0 0 0 1 0 720 0 0 0 0 1 0 855.54 0 0 0 1 0 0 630 0 0 0 0 1 0 920 0 0 0 0 0 0 849.2 0 1 0 0 0 0 1310 0 0 0 0 1 0 960 0 0 0 1 0 0 1923.25 0 0 0 0 0 0 696.6 0 0 0 0 0 0 1520 0 0 0 1 0 0 615.375 1 0 0 0 0 0 1650.09 0 0 0 1 0 0 1153.95 0 0 0 0 1 0 1472 0 0 0 1 0 0 2307.75 0 1 0 0 0 0 1299.9 0 0 0 1 0 0 1596 0 0 0 0 1 0 3461.5 0 0 0 0 1 0 800 0 1 0 0 0 0 810 0 0 0 0 1 0 2875.2 0 0 0 0 1 0 1472.25 0 0 0 1 0 0 320 0 1 0 0 0 0 840 0 0 1 0 0 0 2307.75 0 0 0 0 0 0 1800 0 0 0 0 1 0 136 1 0 0 0 0 end
Listed 100 out of 6031 observations
Use the count() option to list more
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