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States' Nonagricultural Employment at the 3-Digit North American Industry Classification System (NAICS) Level

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  • Nissan, Edward
  • Carter, George

Abstract

The focus of this research is to address the question of nonagricultural employment di-versity at the state level for 2002, employing the newer 3-digit North American Industry Clas-sification System (3-digit NAICS). The index of diversity used is the Simpson index. A second facet of the paper includes a comparison of states’ diversity to that of the United States as the norm. The results indicate that, with a few exceptions, diversity of employment in the majority of states does not differ statistically from employment diversity in the United States as a whole. Further findings indicate that specialization explains employment growth with statistically significant correlation between employment growth and specialization.

Suggested Citation

  • Nissan, Edward & Carter, George, 2010. "States' Nonagricultural Employment at the 3-Digit North American Industry Classification System (NAICS) Level," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 40(1).
  • Handle: RePEc:ags:jrapmc:132442
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    References listed on IDEAS

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    1. Wagner, John E., 2000. "Regional Economic Diversity: Action, Concept, or State of Confusion," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 30(2).
    2. John E. Wagner & Steven C. Deller, 1998. "Measuring the Effects of Economic Diversity on Growth and Stability," Land Economics, University of Wisconsin Press, vol. 74(4), pages 541-556.
    3. Feldman, Maryann P. & Audretsch, David B., 1999. "Innovation in cities:: Science-based diversity, specialization and localized competition," European Economic Review, Elsevier, vol. 43(2), pages 409-429, February.
    4. Paul B. Siegel & Jeffrey Alwang & Thomas G. Johnson, 1994. "Toward An Improved Portfolio Variance Measure Of Regional Economic Stability," The Review of Regional Studies, Southern Regional Science Association, vol. 24(1), pages 71-86, Summer.
    5. Dalgaard, Carl-Johan & Vastrup, Jacob, 2001. "On the measurement of [sigma]-convergence," Economics Letters, Elsevier, vol. 70(2), pages 283-287, February.
    6. Lim, Up, 2004. "Knowledge Spillovers, Agglomeration Economies, and the Geography of Innovation Activity: A Spatial Econometric Analysis," The Review of Regional Studies, Southern Regional Science Association, vol. 34(1), pages 11-36.
    7. Friedman, Milton, 1992. "Do Old Fallacies Ever Die?," Journal of Economic Literature, American Economic Association, vol. 30(4), pages 2129-2132, December.
    8. Jacquemin, Alexis P & Berry, Charles H, 1979. "Entropy Measure of Diversification and Corporate Growth," Journal of Industrial Economics, Wiley Blackwell, vol. 27(4), pages 359-369, June.
    9. Somik V. Lall & Serdar Yilmaz, 2001. "Regional economic convergence: Do policy instruments make a difference?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 35(1), pages 153-166.
    10. Bruce D. Wundt, 1992. "Reevaluating Alternative Measures Of Industrial Diversity As Indicators Of Regional Cyclical Variations," The Review of Regional Studies, Southern Regional Science Association, vol. 22(1), pages 59-73, Summer.
    11. Laila Assanie & Mine Yücel, 2007. "Industry clusters shape Texas economy," Southwest Economy, Federal Reserve Bank of Dallas, issue Sep, pages 3-7.
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    Keywords

    Labor and Human Capital;

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