Using a panel data set of county-level employment in machinery, electrical machinery, primary metals, transportation, and instruments, this paper analyzes the role of dynamic externalities for individual industries. Key issues examined include the role of externalities from own industry concentration (localization, or MAR externalities) versus the role of externalities from overall diversity of the local environment (urbanization, or Jacobs externalities). In contrast to previous studies, use of panel data allows us to separate these effects out from fixed/random effects influencing industries over time. Panel data also allow us to estimate a lag structure to externality variables, indicating how long history matters and the time pattern of effects. A particular issue concerns whether conditions from the immediate year or so prior to the current have the biggest impact on current employment, or periods several years prior have the largest impact. For all industries both localization and urbanization effects are important. For traditional industries most effects die out after four or five years, but for high tech industries effects can persist longer. The biggest effects are typically from conditions of three to four years ago, in the county and metropolitan area.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
4730.
Length: Date of creation: May 1994 Date of revision: Handle: RePEc:nbr:nberwo:4730
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"Growth in Cities,"
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Edward L. Glaeser & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1991.
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