schooling | R Documentation |
Data from the National Longitudinal Survey of Young Men. Cohort includes 3,010 males aged 24 to 34 years old in 1976, who were ages 14-24 when first interviewed in 1966. Cameron and Trivedi (2005)
schooling
A data frame with 5226 observations and 101 variables:
identification code
= 1 if black race
= 1 if born in the US
person lived with at age 14 (in 1966)
= 1 if magazines available at age 14
= 1 if newspapers available at age 14
= 1 if library card available at age 14
total number of siblings
highest grade completed by father (1966)
highest grade completed by mother (1966)
IQ score in 1968
date of birth
highest grade completed 1976, some values filled from prevs reports
sampling weights 1976
highest grade completed in 1976
highest grade completed in 1966
age in 1976
age in 1966
current residence, = 1 if lived in central city in 1976
current residence, = 1 if lived in central city in 1966
census region in 1966
= 1 if there is a 4-year college nearby
= 1 if male 4-year college nearby
= 1 if public 4-year college nearby
= 1 if lived in South in 1976
hourly wage in 1976, ln
work experience in 1976, years calculated as (10 + age66) - grade76 - 6
experience 1976 squared, exp76^2/100
age squared (1976)
region, = 1 if lived in region NE
region, = 1 if lived in region MidAtl
region, = 1 if lived in region ENC
region, = 1 if lived in region WNC
region, = 1 if lived in region SA
region, = 1 if lived in region ESC
region, = 1 if lived in region WSC
region, = 1 if lived in region M
region, = 1 if lived in region P
= 1 if lived with both parents at age 14
= 1 if lived with mother only at age 14
= 1 if father has no formal education
= 1 if mother has no formal education
mean grade level of father
mean grade level of mother
father's and mother's education
= 1 if mgrade> 12 & fgrade> 12
= 1 if mgrade>=12 & fgrade>=12
= 1 if mgrade==12 & fgrade==12
= 1 if mgrade>=12 & fgrade==-1
= 1 if fgrade>=12
= 1 if mgrade>=12 & fgrade> -1
= 1 if mgrade>=9 & fgrade>=9
= 1 if mgrade> -1 & fgrade> -1
= 1 if famed not in range 1-8
= 1 if wt76 not missing
= 1 if in age group 14-15
= 1 if in age group 16-17
= 1 if in age group 18-19
= 1 if in age group 20-21
= 1 if in age group 22-24
= 1 if in age group 14-15 and lived near college
= 1 = 1 if in age group 16-17 and lived near college
= 1 if in age group 18-19 and lived near college
= 1 if in age group 20-21 and lived near college
= 1 if in age group 22-24 and lived near college
age in 1966 and lived near college
= 1 if age in 1966 is 14
= 1 if age in 1966 is 15
= 1 if age in 1966 is 16
= 1 if age in 1966 is 17
= 1 if age in 1966 is 18
= 1 if age in 1966 is 19
= 1 if age in 1966 is 20
= 1 if age in 1966 is 21
= 1 if age in 1966 is 22
= 1 if age in 1966 is 23
= 1 if age in 1966 is 24
= 1 if did not live near college in 1966
= 1 if lived near college and age in 1966 = 14
= 1 if lived near college and age in 1966 = 15
= 1 if lived near college and age in 1966 = 16
= 1 if lived near college and age in 1966 = 17
= 1 if lived near college and age in 1966 = 18
= 1 if lived near college and age in 1966 = 19
= 1 if lived near college and age in 1966 = 20
= 1 if lived near college and age in 1966 = 21
= 1 if lived near college and age in 1966 = 22
= 1 if lived near college and age in 1966 = 23
= 1 if lived near college and age in 1966 = 24
grade level when 25 years old
= 1 if =g25 and intrvwed in year used for determining g25
interview month in 1966, used to identify cases incl by Card
flag to identify if the case was used by Card
number of siblings
= 1 if the person has no siblings
= 1 if number of siblings is 2
= 1 if number of siblings is 3
= 1 if number of siblings is 4
= 1 if number of siblings is 6
= 1 if number of siblings is 9
= 1 if number of siblings is 18
4.9.6 Instrumental Variables Application, pp. 110-2
http://cameron.econ.ucdavis.edu/mmabook/mmadata.html
Cameron, A. and Trivedi, P. (2005), "Microeconometrics: Methods and Applications," Cambridge University Press, New York.
Card, D. (1995), "Using Geographic Variation in College Proximity to Estimate the Returns to Schooling", in Aspects of Labor Market Behavior: Essays in Honor of John Vanderkamp, eds. L.N. Christofides et al., Toronto: University of Toronto Press, pp.201-221.
Kling, J.R. (2001) "Interpreting Instrumental Variables Estimates of the Return to Schooling," Journal of Business and Economic Statistics, 19, 358-364.
https://www.nlsinfo.org/content/cohorts/older-and-young-men
summary(schooling)
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