Artikel

Growth and Convergence across the United States: Evidence from County-Level Data

We use U.S. county data (3,058 observations) and 41 conditioning variables to study growth and convergence. Using ordinary least squares (OLS) and three-stage least squares with instrumental variables (3SLS-IV), we report on the full sample and metro, nonmetro, and and regional samples: (1) OLS yields convergence rates around 2%; 3SLS yields 6%–8%; (2) convergence rates vary (for example, the Southern rate is 2.5 times the Northeastern rate); (3) federal, state, and local government negatively correlates with growth; (4) the relationship between educational attainment and growth is nonlinear; and (5) the finance, insurance, and real estate industry and the entertainment industry correlate positively with growth, whereas education employment correlates negatively.

Language
Englisch

Bibliographic citation
Journal: Review of Economics and Statistics ; ISSN: 1530-9142 ; Volume: 88 ; Year: 2006 ; Issue: 4 ; Pages: 671-681 ; Cambridge, MA: MIT Press

Classification
Wirtschaft
Economic Growth and Aggregate Productivity: General
Macroeconomic Analyses of Economic Development
Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
Economywide Country Studies: U.S.; Canada
Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
National Government Expenditures and Related Policies: General
State and Local Government; Intergovernmental Relations: General
Subject
Economic Growth
Conditional Convergence
and County-Level Data

Event
Geistige Schöpfung
(who)
Higgins, Matthew J.
Levy, Daniel
Young, Andrew T.
Event
Veröffentlichung
(who)
MIT Press
ZBW – Leibniz Information Centre for Economics
(where)
Cambridge, MA
(when)
2006

DOI
doi:10.1162/rest.88.4.671
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Higgins, Matthew J.
  • Levy, Daniel
  • Young, Andrew T.
  • MIT Press
  • ZBW – Leibniz Information Centre for Economics

Time of origin

  • 2006

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