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Sources of variation in regional economies

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  • Radha Bhattacharya

Abstract

This paper employs a vector autoregressive (VAR) methodology to examine the role of oil price shocks, defense shocks, national, and local shocks in explaining fluctuations in non-farm employment in a sample of ten states/MSAs in the US in the period 1969–2000. These include a sample of energy rich states and a sample of presumed beneficiaries of defense spending. Existing literature provides mixed evidence on the effects of defense shocks and oil shocks or does not focus on individual states. Results of this paper indicate that oil shocks and defense shocks have more pronounced effects at the local level than they do at the national level. An increase in the price of oil has a fairly large and for the most part statistically significant positive impact on the energy rich states and has a negative and statistically significant impact in the case of the Detroit-Flint MSA. When defense shocks occur they have a sizable impact on local economies that are beneficiaries of defense spending, even though their importance over the whole sample is not always significant. A key policy implication that emerges is that macroeconomic policy at the aggregate level may not be sufficient to uniformly stabilize regional economies that face oil, defense, and local shocks. Furthermore, to the extent that some of these states are linked more to their own local economies rather than to the US economy, they would have to rely more on local stabilization policies when faced with adverse local shocks. Copyright Springer-Verlag Berlin Heidelberg 2003

Suggested Citation

  • Radha Bhattacharya, 2003. "Sources of variation in regional economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(2), pages 291-302, May.
  • Handle: RePEc:spr:anresc:v:37:y:2003:i:2:p:291-302
    DOI: 10.1007/s001680200117
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    Cited by:

    1. Gangopadhyay Partha & Elkanj Nasser, 2009. "Politics of Defence Spending and Endogenous Inequality," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 15(1), pages 27-49, May.
    2. Koen Frenken & Frank G. van Oort & Thijs Verburg & Ron A. Boschma, 2004. "Variety and regional economic growth in the Netherlands," Papers in Evolutionary Economic Geography (PEEG) 0502, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2004.
    3. Kristie M. Engemann & Michael T. Owyang & Howard J. Wall, 2014. "Where Is An Oil Shock?," Journal of Regional Science, Wiley Blackwell, vol. 54(2), pages 169-185, March.
    4. Chad R. Wilkerson & Megan D. Williams, 2008. "How is the rise in national defense spending affecting the Tenth District economy?," Economic Review, Federal Reserve Bank of Kansas City, vol. 93(Q II), pages 49-79.
    5. Thomas M. Fullerton & Teodulo Soto, 2015. "Oil Shock Impacts on the Borderplex Regional Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 14-26.
    6. Sevda Yaprakli & Fatih Kaplan, 2015. "Re-examining of the Turkish Crude Oil Import Demand with Multi-structural Breaks Analysis in the Long Run Period," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 402-407.

    More about this item

    Keywords

    JEL classification: R1;

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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