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

Artikel

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.

Object Details

• Language: Englisch

References and Relationships

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

Classification and Topics

• 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 ; Extreme Bounds Analysis ; County-Level Data

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Higgins, Matthew J. ; Young, Andrew T. ; Levy, Daniel
• Event: Veröffentlichung
• (who): Taylor and Francis ; ZBW – Leibniz Information Centre for Economics
• (where): London
• (when): 2010

Further information

• DOI: https://www.tandfonline.com/doi/abs/10.1080/13504850701720254
• Handle: http://hdl.handle.net/10419/206828
• Last update: 10.03.2025, 11:43 AM CET