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Short-run Birth and Death of U.S. Manufacturing Firms: 2000 - 2005


  • Brown, Jason P.
  • Lambert, Dayton M.


Attracting manufacturing investment remains a viable regional development policy. Previous research in the location literature has informed policymakers which factors are most important for attracting new firm investment. Far less is known about the dynamics of firm death and the possible interaction with firm birth. A conceptual model of county-level investment in the U.S. manufacturing sector is developed from location theory and subsequent literature. Specifically, we test the relative importance of location factors influencing firm investment, and if these factors influence firm birth and death differently. Local factors include labor quality, availability, and cost, market conditions, agglomeration due to localization and urbanization economies, infrastructure, and fiscal policy. This study covers the time period 2000 to 2004 for U.S. counties in the lower 48 states. Firm data are from the U.S. Census Bureau’s Dynamic Firm Data Series, which links establishments across space and time. Regional adjustment models are used to show how ceteris paribus changes in location factors affect the birth and death rates in a county.

Suggested Citation

  • Brown, Jason P. & Lambert, Dayton M., 2009. "Short-run Birth and Death of U.S. Manufacturing Firms: 2000 - 2005," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46739, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeana:46739

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    References listed on IDEAS

    1. Richard Ericson & Ariel Pakes, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," Review of Economic Studies, Oxford University Press, vol. 62(1), pages 53-82.
    2. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    3. Andrew B Bernard & J. Bradford Jensen, 2007. "Firm Structure, Multinationals, and Manufacturing Plant Deaths," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 193-204, May.
    4. John I. Carruthers & Alexander C. Vias, 2005. "Urban, Suburban, and Exurban Sprawl in the Rocky Mountain West: Evidence from Regional Adjustment Models," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 21-48.
    5. Eric Bartelsman & Stefano Scarpetta & Fabiano Schivardi, 2003. "Comparative Analysis of Firm Demographics and Survival: Micro-Level Evidence for the OECD Countries," OECD Economics Department Working Papers 348, OECD Publishing.
    6. Thomas de Graaff & Raymond J.C.M. Florax & Peter Nijkamp & Aura Reggiani, 2001. "A General Misspecification Test for Spatial Regression Models: Dependence, Heterogeneity, and Nonlinearity," Journal of Regional Science, Wiley Blackwell, vol. 41(2), pages 255-276.
    7. Sanghoon Ahn, 2001. "Firm Dynamics and Productivity Growth: A Review of Micro Evidence from OECD Countries," OECD Economics Department Working Papers 297, OECD Publishing.
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    More about this item


    location factors; manufacturing; creative destruction; Community/Rural/Urban Development; L60; R11; R12;

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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