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