Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Identifying Agglomeration Spillovers: Evidence from Winners and Losers of Large Plant Openings

Identifying Agglomeration Spillovers: Evidence from Winners and Losers of Large Plant Openings

Thumbnail Image
Download
Name

Greenstone_Identifying agglomeration.pdf

Size

744.35 KB

Format

Adobe PDF

Checksum (MD5)

1ce71f93f02842b6d424208e7f17fe57

Author(s)
Greenstone, Michael
•
Hornbeck, Richard
•
Moretti, Enrico
Date Issued
June 2010
Journal
Journal of Political Economy
Publisher
University of Chicago Press
Citation
Greenstone, Michael, Richard Hornbeck, and Enrico Moretti. “Identifying Agglomeration Spillovers: Evidence from Winners and Losers of Large Plant Openings.” The Journal of Political Economy 118.3 (2010): 536-598.
Version
Author's final manuscript
Abstract
We quantify agglomeration spillovers by comparing changes in total factor productivity (TFP) among incumbent plants in “winning” counties that attracted a large manufacturing plant and “losing” counties that were the new plant's runner‐up choice. Winning and losing counties have similar trends in TFP prior to the new plant opening. Five years after the opening, incumbent plants' TFP is 12 percent higher in winning counties. This productivity spillover is larger for plants sharing similar labor and technology pools with the new plant. Consistent with spatial equilibrium models, labor costs increase in winning counties, indicating that profits ultimately increase less than productivity.
MIT Department
Massachusetts Institute of Technology. Department of Economics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
http://creativecommons.org/licenses/by-nc-sa/3.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/61725
DOI of Published Version
https://doi.org/10.1086/653714
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.