Growth and Convergence across the United States: Evidence from County-Level Data
Author(s) -
Matthew J. Higgins,
Daniel Lévy,
Andrew T. Young
Publication year - 2006
Publication title -
the review of economics and statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.999
H-Index - 165
eISSN - 1530-9142
pISSN - 0034-6535
DOI - 10.1162/rest.88.4.671
Subject(s) - ordinary least squares , instrumental variable , convergence (economics) , economics , econometrics , real estate , least squares function approximation , sample (material) , demographic economics , mathematics , statistics , economic growth , finance , chemistry , chromatography , estimator
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. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
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