A time series analysis of U.S. metropolitan and non-metropolitan income divergence

Hammond, George

doi:10.1007/s00168-005-0029-3

Cited by 15 publications

(21 citation statements)

References 24 publications

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“…The greater impact of human capital investment in metropolitan than nonmetropolitan areas is consistent with Hammond and Thompson (2006), Hammond (2006), Henry, Barkley, and Li (2004), and Huang, Orazem, and Wohlgemuth (2002). Our research shows that education has a significant positive impact on income growth in nonmetropolitan areas, using an exhaustive set of labor markets for the continental United States and controlling for endogeneity.…”

Section: Solow Growth Model With a Ces Production Functionsupporting

confidence: 83%

“…The coverage of our measure is similar to Crihfield and Panggabean (1995) and Glaeser, Scheinkman, and Shleifer (1995) in the sense that it reflects both high school and college level attainment. Human capital measures employed in Hammond and Thompson (2006), and Hammond (2006), and Rupasingha, Goetz, and Freshwater (2002) focused on college or better levels of educational attainment. Henry, Barkley, and Li (2004) use the share of the population with at least some college as their indicator of human capital investment.…”

Section: Resultsmentioning

confidence: 99%

“…Hammond and Thompson (2006), Hammond (2006), Hammond (2004), Henry, Barkley, andLi (2004), Huang, Orazem, andWohlgemuth (2002), Rupasingha, Goetz, and Freshwater (2002), Beeson, DeJong, and Troesken (2001), Nissan and Carter (1999), and Carlino and Mills (1987) explore the issue of growth in metropolitan and nonmetropolitan areas, using a variety of empirical approaches including distribution dynamics, time-series methods, spatial distribution dynamics, cross-section regressions, and trends in cross-section standard deviations.…”

Section: Literature and Theoretical Frameworkmentioning

confidence: 99%

“…Further, studies that focus exclusively on metropolitan areas or cities may suffer from sample selection bias. To remedy this, Hammond and Thompson (2006), Hammond (2006), Hammond (2004), Henry, Barkley, and Li (2004), Huang, Orazem, and Wohlgemuth (2002), Rupasingha, Goetz, and Freshwater (2002), Beeson, DeJong, and Troesken (2001), Nissan and Carter (1999), and Carlino and Mills (1987) investigated convergence and growth issues us-1 In 1969, the commuting zone region with the highest per capita personal income was Nantucket County, Massachusetts ($5,111). The commuting zone region with the lowest income was Maverick County, Texas ($1,349).…”

mentioning

confidence: 99%

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Determinants of Income Growth in Metropolitan and Nonmetropolitan Labor Markets

Hammond

Thompson

2008

American J Agri Economics

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This article analyzes determinants of growth across labor markets in the United States, using a production function approach based on four inputs: labor, manufacturing investment, human capital investment, and public capital investment. We find little role for public capital investment in growth, but that manufacturing investment spurred growth in nonmetropolitan areas, in contrast to metropolitan areas. We also find that human capital investment mattered more for metropolitan areas than for nonmetropolitan areas. Further, the presence of more colleges and universities, more household amenities, and lower tax rates are all found to have encouraged human capital accumulation in U.S. labor markets. Copyright 2008, Oxford University Press.

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Section: Solow Growth Model With a Ces Production Functionsupporting

confidence: 83%

Section: Resultsmentioning

confidence: 99%

Section: Literature and Theoretical Frameworkmentioning

confidence: 99%

mentioning

confidence: 99%

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Determinants of Income Growth in Metropolitan and Nonmetropolitan Labor Markets

Hammond

Thompson

2008

American J Agri Economics

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“…Results inHammond (2006) suggest that human capital matters more for metropolitan regions than for non-metropolitan areas.…”

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confidence: 84%

The growth impact of the metropolitan statistical area designation

Hammond

Osoba

2007

Ann Reg Sci

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The federal Office of Management and Budget's (OMB) periodic releases of updated metropolitan statistical area (MSA) definitions garner significant attention from local economic development professionals and policymakers. This paper tests the hypothesis that the MSA designation influences local growth, using OMB designations released since 1980 and data on per capita personal income, population, and employment. We find little evidence that the MSA designation influences long-term employment or per capita income growth. However, we do find evidence suggestive of a short-run impact on employment growth and more significant impacts on population growth. JEL Classification R11 · R58

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