Both are used to analyze the difference in wages between different types of disability and non-disability. There are three types of disabilities, namely blind, deaf, and speech impaired. The three variables are dummy variables. As an example:
deaf=1 if the individual has a hearing problem, 0 otherwise.
Non-disability consists of individuals who do not have hearing, vision, and speech problems.
Code:
gen nondisbld = 1 if deaf==0&blind==0&speech_impaired==0
This is my dataex
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input str2 id byte(blind deaf speech_impaired yeduc krt) float(lwage_m1 nondisbld) "1" 1 0 0 9 0 13.458836 0 "2" 0 0 1 0 0 14.220976 0 "3" 0 0 0 9 0 14.220976 1 "4" 0 1 0 9 1 14.220976 0 "5" 0 0 0 16 1 14.220976 1 "6" 1 0 0 13 1 13.304685 0 "7" 0 0 0 11 1 14.7318 1 "8" 0 0 0 2 1 13.81551 1 "9" 0 0 0 6 0 . 1 "10" 0 0 1 4 0 . 0 end
id: is resident id
lwage_m1: log wages per month
krt : a variable that only exists in the selection model but is not in the wage equation.
Thank you in advance!
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