24 research outputs found

    High Technology Employment, Wages And University R&D Spillovers: Evidence From Us Cities

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    Using 4 years of data from 36 American cities and 6 high technology groupings we present thc first estimates of University R&D spillover effects on ctnployrnent at this level of disag-gregation, while controlling for wages, prior innovations, state fixed efrccts, and saniple selectivity hias. We find robust evidence that lagged and disaggrcgated university R&D is a significant determinant of city high technology employment and some evidence for employment effects of innovation.High technology, Employment, R&D spillovers, Externalities, Clusters JEL Classifications: 523, 544, 030,

    High-technology employment and R&D in cities: heterogeneity vs specialization

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    This paper uses data from high technology industry clusters in U.S. cities to establish a strong positive relationship between city, industry cluster (and university) R&D, and subsequent employment in the same industry cluster and city. Perhaps surprisingly, in view of recent results that heterogeneity favors growth, we found no evidence for spillovers from R&D in any one high technology cluster to employment in any other. However, spillover benefits from specialization appear microeconomically plausible in our context, though the data panel is too short to obtain any conclusions regarding growth

    High-technology employment and R&D in cities: Heterogeneity vs specialization

    No full text
    This paper uses data from high technology industry clusters in U.S. cities to establish a strong positive relationship between city, industry cluster (and university) R&D, and subsequent employment in the same industry cluster and city. Perhaps surprisingly, in view of recent results that heterogeneity favors growth, we found no evidence for spillovers from R&D in any one high technology cluster to employment in any other. However, spillover benefits from specialization appear microeconomically plausible in our context, though the data panel is too short to obtain any conclusions regarding growth.
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