I am trying to generate years of education variable. Although I have seen some relevant topics in this forum, I think my case is quite different so I make a new thread.
In my data context, primary school take 5 years, secondary school takes 4 years, high school takes 3 years, College takes 2-3 years (2 years, on average), University normally takes 4 years, Master takes 2 years, and finally PhD takes 3-4 years (3 years, on average). The school starting age is at 6, so an individual completes his/her primary school at the age of 11 (6+5), regardless of repetition and later entry which I assume here. Similarly an individual would complete his/her secondary at the age of 15 (6+5+4), and so on.
My dataset contains 3 variables related to an individual's education as follows:
wb3 - Ever attended school
wb4 - highest level of school attended
wb5 - highest grade completed at that level
I wish to provide a data example using dataex as I usually did when posting, however, since there are a few people never attended school, I attached an excel file of my data to show a whole picture of my data structure.
The followings are simple descriptions of the three variables
Code:
-> tabulation of wb3 ever | attended | school | Freq. Percent Cum. ------------+----------------------------------- yes | 9,254 94.17 94.17 no | 573 5.83 100.00 ------------+----------------------------------- Total | 9,827 100.00 -> tabulation of wb4 highest level of school | attended | Freq. Percent Cum. ---------------------------+----------------------------------- preschool | 8 0.09 0.09 primary | 1,459 15.77 15.85 lower secondary | 3,370 36.42 52.27 upper secondary | 2,412 26.06 78.33 professional school | 574 6.20 84.54 college/university & above | 1,431 15.46 100.00 ---------------------------+----------------------------------- Total | 9,254 100.00 -> tabulation of wb5 highest | grade | completed at | that level | Freq. Percent Cum. -------------+----------------------------------- 0 | 462 6.38 6.38 1 | 76 1.05 7.43 2 | 198 2.73 10.16 3 | 267 3.69 13.85 4 | 302 4.17 18.02 5 | 597 8.24 26.27 6 | 435 6.01 32.27 7 | 548 7.57 39.84 8 | 472 6.52 46.36 9 | 1,774 24.50 70.86 10 | 453 6.26 77.12 11 | 407 5.62 82.74 12 | 1,249 17.25 99.99 missing | 1 0.01 100.00 -------------+----------------------------------- Total | 7,241 100.00
Thank you.
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