Smart Café Cities: Testing human capital externalities in the Boston metropolitan area

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Abstract

Existing studies have explored only one or, in some cases, two mechanisms by which human capital externalities percolate at the macrogeographic levels. This study, however, uses the 1990 Massachusetts census data to test four mechanisms at the microgeographic levels, in the Boston metropolitan area labor market. We propose that individual workers can learn from their occupational and industrial peers in the same local labor market through four channels: depth of human capital stock, Marshallian labor market externalities, Jacobs labor market externalities, and thickness of the local labor market. We find that all types of human capital externalities are significant across census blocks. Different types of externalities attenuate at different speeds over distances. For example, the effect of human capital depth decays rapidly beyond three miles away from block centroids. We conclude that knowledge spillovers are very localized within a microgeographic scope in cities that we call, “Smart Café Cities.”

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      A closely related study by Fu (2007) adopts the strategy of Rosenthal and Strange (2008) to analyze cross-sectional data from the Boston metropolitan area. Using more precise geocoded data, Fu (2007) measures the concentration of human capital within finer rings (i.e., 0–1.5, 1.5–3, 3–6 and 6–9 miles). Fu (2007) finds evidence that human capital externalities may vanish after only three miles.

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