Local industrial conditions and entrepreneurship : how much of the spatial distribution can we explain? / Edward L. Glaeser, William R. Kerr.

By: Glaeser, Edward L. (Edward Ludwig), 1967-Contributor(s): Kerr, William R. (William Robert) | National Bureau of Economic ResearchMaterial type: TextTextSeries: Working paper series (National Bureau of Economic Research) ; no. 14407.Publication details: Cambridge, Mass. : National Bureau of Economic Research, 2008Description: 32, [18] p. : ill. ; 22 cmSubject(s): Entrepreneurship -- United States -- Econometric modelsLOC classification: HB1 | .N38 no. 14407Online resources: Click here to access online Summary: Why are some places more entrepreneurial than others? We use Census Bureau data to study local determinants of manufacturing startups across cities and industries. Demographics have limited explanatory power. Overall levels of local customers and suppliers are only modestly important, but new entrants seem particularly drawn to areas with many smaller suppliers, as suggested by Chinitz (1961). Abundant workers in relevant occupations also strongly predict entry. These forces plus city and industry fixed effects explain between sixty and eighty percent of manufacturing entry. We use spatial distributions of natural cost advantages to address partially endogeneity concerns.
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Research Papers HB1.N38 no. 14407 (Browse shelf (Opens below)) 1 Available 0013115728

Includes bibliographical references (p. 28-32).

Why are some places more entrepreneurial than others? We use Census Bureau data to study local determinants of manufacturing startups across cities and industries. Demographics have limited explanatory power. Overall levels of local customers and suppliers are only modestly important, but new entrants seem particularly drawn to areas with many smaller suppliers, as suggested by Chinitz (1961). Abundant workers in relevant occupations also strongly predict entry. These forces plus city and industry fixed effects explain between sixty and eighty percent of manufacturing entry. We use spatial distributions of natural cost advantages to address partially endogeneity concerns.

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