A subset of data from the National Longitudinal Study of Youth tracking the labour market experiences of male high school dropouts (Murnane, Boudett, & Willett, 1999).
Format
dropout_wages
A person-period data frame with 6402 rows and 9 columns:
id
Participant ID.
log_wages
Natural logarithm of wages.
experience
Labour force experience in years, tracked from dropouts' first day of work.
ged
Binary indicator for whether the dropout obtained a GED.
postsecondary_education
Binary indicator for whether the dropout obtained post-secondary education.
black
Binary indicator for whether the dropout is black.
hispanic
Binary indicator for whether the dropout is hispanic.
highest_grade
Highest grade completed.
unemployment_rate
Unemployment rate in the local geographic area.
dropout_wages_subset
A person-period data frame with 257 rows and 5 columns:
id
Participant ID.
log_wages
Natural logarithm of wages.
experience
Labour force experience in years, tracked from dropouts' first day of work.
black
Binary indicator for whether the dropout is black.
highest_grade
Highest grade completed.
Source
Murnane, R. J., Boudett, K. P., & Willett, J. B. (1999). Do male dropouts benefit from obtaining a GED, postsecondary education, and training? Evaluation Review, 23, 475–502. https://doi.org/10.1177/0193841x9902300501