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Calculates STEM economic activity for each of the nation's 384 metropolitan areas. STEM shares are positively related to metro area size; among metro areas with employment of at least 1 million, STEM intensity in 2019 was greatest in the San Jose, Seattle, San Francisco, Washington D.C., Austin, Detroit, and Boston metro areas.
Dennis received a B.A. in economics and mathematics from Grand Valley State University, a M.S. in economics from Michigan State University, and a Ph.D. in economics from Michigan State University in 1978. He has served on the faculty of the Department of Economics at ASU since 1979, as director of ASU’s L. William Seidman Research Institute (2004-24), and as the director of the Office of the University Economist since 2005.
After receiving his Bachelor of Business Administration from the University of Toledo, Tom earned his Master of Business Administration from Arizona State University in 1976. After working in the private sector, he joined ASU in 1980, working for the predecessor of the L. William Seidman Research Institute. Since 2005, he has served as manager of research initiatives in the Office of the University Economist.
Summarizes migration data by state from three sources: the Internal Revenue Service, the American Community Survey, and the University of Wisconsin.
EXECUTIVE SUMMARY
Examines the determinants of the locations of high-tech clusters in the United States. Summarizes the development of high-tech activities in Arizona, Metro Phoenix, and Metro Tucson relative to selected states and metropolitan areas.
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Examines the extent of healthcare worker shortages in Arizona, calculates the economic impact of eliminating worker shortages, and estimates the direct medical costs and productivity losses of ill health.