New economic geography and US metropolitan wage inequality
Bibliographic Data
| ID | 12694530 |
|---|---|
| Authors | Belal Fallah (corresponding author), B N Fallah, Mark D Partridge (0000-0001-7427-4109, The Ohio State University), M Rose Olfert (University of Saskatchewan) |
| Year | 2010 |
| Volume | 11 |
| Issue | 5 |
| Pages | 865-895 |
| Publication date | 2010-05-06 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Economic Geography (JOURNAL) |
| Journal identifiers | ISSN: 1468-2702 • E-ISSN: 1468-2710 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/jeg/lbq016 |
| OpenAlex | W1996735240 |
| Language | EN |
| Citations received | 13 |
| References cited | 37 |
This article investigates the distributional aspect of market access. Following the New Economic Geography literature, we derive a spatial skill demand equation that positively links skill premiums to market access. Using data from US metropolitan areas, we show that not only are average wages greater in metropolitan areas with higher market access, but wage differentials are also more unequally distributed. Specifically, greater market access is linked to relatively weaker (stronger) outcomes for those at the bottom (top) of the wage distribution. Further assessment finds that market potential is favorably associated with greater shares of high-skilled workers. The analysis provides further rationale for the much-observed positive relationship between the metropolitan area's share of high-skilled workers and its skilled-worker wage premium (all else constant)
Economic geography · Economic inequality · Economics · Geography · Inequality · Labour economics · Metropolitan area · Wage · Wage Inequality · Economic Growth and Productivity · Mathematics · Regional Economics and Spatial Analysis · Regional resilience and development
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| Unique citing works | 13 |
|---|---|
| Citations per year | 0,81 |
| Citation span | 2010 - 2026 (17) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 13 |