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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Accesso online: | https://arxiv.org/abs/2511.05294 |
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| _version_ | 1866915604549599232 |
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| author | Wu, Shaolong |
| author_facet | Wu, Shaolong |
| contents | In the modern U.S. labor market, digital infrastructures strongly influence how individuals locate opportunities, build skills, and advance wages. Regional differences in computing access, broadband coverage, and digital literacy have significant labor implications for equity and sustainability. Drawing on longitudinal data from the NLSY97 (National Longitudinal Surveys of Youth) cohort, this study examines how place-based technological factors, personal demographics, household characteristics, and education shape income levels and decisions to seek new employment. The regression analyses reveal that educational attainment, marital status, and frequency of Internet usage strongly predict both wages and individuals' job-seeking intensity. Regional disparities in income underscore the need for more localized interventions to ensure equitable access to technology. This study raises key questions about how digital infrastructures can reinforce or challenge systemic inequalities in underserved communities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_05294 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Local Technological Access, Income Disparities, and Job-Seeking in the United States Since 2010 Wu, Shaolong Computers and Society General Economics Economics In the modern U.S. labor market, digital infrastructures strongly influence how individuals locate opportunities, build skills, and advance wages. Regional differences in computing access, broadband coverage, and digital literacy have significant labor implications for equity and sustainability. Drawing on longitudinal data from the NLSY97 (National Longitudinal Surveys of Youth) cohort, this study examines how place-based technological factors, personal demographics, household characteristics, and education shape income levels and decisions to seek new employment. The regression analyses reveal that educational attainment, marital status, and frequency of Internet usage strongly predict both wages and individuals' job-seeking intensity. Regional disparities in income underscore the need for more localized interventions to ensure equitable access to technology. This study raises key questions about how digital infrastructures can reinforce or challenge systemic inequalities in underserved communities. |
| title | Local Technological Access, Income Disparities, and Job-Seeking in the United States Since 2010 |
| topic | Computers and Society General Economics Economics |
| url | https://arxiv.org/abs/2511.05294 |