Heterogeneity in the Determinants of Local Self-Employment Growth by Gender, Age and Selected Industry

Abstract

Hammond G. W. and Gurley-Calvez T. Heterogeneity in the determinants of local self-employment growth by gender, age and selected industry, Regional Studies. This study explores the determinants of self-employment growth across US regions and by gender, age group and industry. It uses Public Use Micro Sample (PUMS) data for the 2000–2006 period and finds that self-employment growth was faster for women than for men; that growth in the 45–64-year age group outpaced growth in the age 20–44-year group; and that growth was much faster in professional and business services than in healthcare. The regression results suggest that there is significant heterogeneity in the impact of regional characteristics on self-employment growth by gender, age group and industry.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 8 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.