Underpaid or Overpaid? Wage Analysis for Nurses Using Job and Worker Attributes

C-Tier
Journal: Southern Economic Journal
Year: 2012
Volume: 78
Issue: 4
Pages: 1096-1119

Authors (2)

Barry T. Hirsch (Georgia State University) Edward J. Schumacher (not in RePEc)

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Nursing shortages are common despite the fact that nurses earn far higher wages than other college‐educated women. Our analysis addresses the puzzle of “high” nursing wages. Employee data from the Current Population Survey are matched with detailed job descriptors from the Occupational Information Network. Nursing requires high levels of compensable skills and demanding working conditions. Standard log wage regression estimates indicate nursing wage advantages of about 40%. Accounting for job attributes reduces estimates to roughly 20%. Rather than transforming ordinary least squares log gaps to percentages, alternative methods measuring Mincerian gaps produce estimates of 15% or less. We conclude that nurses receive compensation that is much closer to opportunity costs than that seen in standard analyses, narrowing the shortage puzzle. Supply constraints in nurse licensing can produce wages above long‐run opportunity costs but that are too low to clear short‐run labor markets during periods of growing demand. The analysis provides broader implications for the conduct of wage analyses.

Technical Details

RePEc Handle
repec:wly:soecon:v:78:y:2012:i:4:p:1096-1119
Journal Field
General
Author Count
2
Added to Database
2026-02-02