NLSY extract file -
earnings equation data


List of variables:

ww = total weeks worked 1979-1995
inc95 = respondent's total wage and salary income for 1995
afqt = percentile score on U.S. Armed Forces Qualifying Exam
yeared = years of education completed by the respondent
med = years of education completed by the respondent's mother
fed = years of education completed by the respondent's father
female = 1 if the respondent is female (=0 otherwise)
black = 1 if the respondent is black (=0 otherwise)
hisp = 1 if the respondent is Hispanic (=0 otherwise)
asian = 1 if the respondent is Asian (=0 otherwise)
natamer = 1 if the respondent is native American (=0 otherwise)
health = 1 if the respondent has a health condition that interferes with his or her ability to work (=0 otherwise)
ne = 1 if the respondent lived in the northeast in 1996 (=0 otherwise)
nortcent = 1 if the respondent lived in the north central states in 1996 (=0 otherwise)
south= 1 if the respondent lived in the south in 1996 (=0 otherwise)
rural= 1 if the respondent lived in a rural area in 1996 (=0 otherwise)
aa= 1 if the respondent's highest level of education is an AA or AS degree (=0 otherwise)
ba= 1 if the respondent's highest level of education is a BA degree (=0 otherwise)
bs= 1 if the respondent's highest level of education is a BS degree (=0 otherwise)
masters= 1 if the respondent's highest level of education is an MA or MS degree (=0 otherwise)
phd = 1 if the respondent's highest level of education is a PhD (or equivalent) degree (=0 otherwise)
profdeg = 1 if the respondent's highest level of education is an MD, LLD, DDS (or equivalent) degree (=0 otherwise)
The sample consists of 3614 individuals who reported wage and/or salary earnings for 1995 and provided responses to the questions needed to construct the variables listed above.

Source: National Longitudinal Study of Youth, Bureau of Labor Statistics

John Kane - kane@oswego.edu
Department of Economics, SUNY-Oswego, Oswego, NY 13126