Donald R. Grimes

Change in the Concentration of Employment in Computer Services: Spatial Estimation at the U.S. Metro County Level

This article models the concentration of computer services activity across the U.S. with factors that incorporate spatial relationships. Specifically, we enhance the standard home-area study with an analysis that allows conditions in neighboring counties to affect the concentration of employment in the home county. We use county-level data for metropolitan areas between 1990 and 1997. To measure change in employment concentration, we use the change in location quotients for SIC 737, which captures employment concentration changes caused by both the number of firms and the scale of their activity relative to the national average. After controlling for local demand for computer services, our results support the importance of the presence of a qualified labor supply, interindustry linkages, proximity to a major airport, and spatial processes in explaining changes in computer services employment concentration, finding little support for the influence of cost factors. Our enhanced model reveals interjurisdictional relationships among these metro counties that could not be captured with standard estimates by state, metropolitan statistical area (MSA), or county. Using counties within MSAs, therefore, provides more general results than case studies but still allows measurement of local interactions.

Economic Effects of Medicaid Expansion in Michigan

Analysis of effects in Michigan confirms that federal funding for Medicaid expansion offers states a fiscal benefit through reduced state spending on Medicaid-covered services and a macroeconomic benefit through increased economic activity and redirected personal spending.

Exploring Wage Determination by Education Level

The purpose of this study is to explain urban wage differentials with a special focus on educational levels. The authors explore whether the share of people with a bachelor’s degree or higher in the community matters to the wages of those within specific educational cohorts, accounting for cost of living, human capital externalities, consumer externalities, policy factors, and local labor market conditions. Using data for all U.S. Metropolitan Statistical Areas between 2005 and 2012, the authors find that the presence of more highly educated people will result in a higher median wage in the community overall, as do many studies, but that this factor does not significantly increase the wage for any individual education cohort. These results are hidden if we only look at the entire workforce in the aggregate.