Artikel

Robust Correlates of County-Level Growth in the U.S.

Higgins et al. (2006), report several statistically significant partial correlates with US per capita income growth. However, Levine and Renelt (1992) demonstrate that such correlations are hardly ever robust to changing the combination of conditioning variables included. We ask, whether the same is true for the variables identified as important by Higgins et al. Using the extreme bounds analysis of Levine and Renelt, we find that the majority of the partial correlations can be accepted as robust. The variables associated with those partial correlations stand solidly as variables of interest for future studies of US growth.

Sprache
Englisch

Erschienen in
Journal: Applied Economics Letters ; ISSN: 1466-4291 ; Volume: 17 ; Year: 2010 ; Issue: 3 ; Pages: 293-296 ; London: Taylor and Francis

Klassifikation
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
Thema
Economic Growth
Conditional Convergence
Extreme Bounds Analysis
County-Level Data

Ereignis
Geistige Schöpfung
(wer)
Higgins, Matthew J.
Young, Andrew T.
Levy, Daniel
Ereignis
Veröffentlichung
(wer)
Taylor and Francis
ZBW – Leibniz Information Centre for Economics
(wo)
London
(wann)
2010

DOI
doi:10.1080/13504850701720254
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Higgins, Matthew J.
  • Young, Andrew T.
  • Levy, Daniel
  • Taylor and Francis
  • ZBW – Leibniz Information Centre for Economics

Entstanden

  • 2010

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