Abstract
Nondegree certificate programs that are free, short, and located in urban areas may pose implications for the skills and spatial match between urban job-seekers and employers. Leveraging a large-scale survey of applicants to a unique technology certificate and apprenticeship program, we apply machine-learning generated propensity score weights, finding that apprenticeship completers were more likely to see a significant reduction in the distance between their homes and jobs when compared to similar non-admitted applicants. Additionally, through descriptive analyses, we see that a greater proportion of apprenticeship completers changed both their residential and employment locations. Finally, our geospatial depictions further highlighted these residential and employment relocations often clustered in areas marked by distinct racial, economic, and employment characteristics. Our findings suggest that these types of education programs may solve the spatial mismatch problem for individuals but have limited implications for residential attainment.
| Original language | English |
|---|---|
| Pages (from-to) | 546-597 |
| Number of pages | 52 |
| Journal | Urban Education |
| Volume | 61 |
| Issue number | 3 |
| DOIs | |
| State | Accepted/In press - 2025 |
Keywords
- STEM
- apprenticeship
- coding bootcamp
- job portability
- residential mobility
- skills mismatch
- spatial mismatch