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Spatial Dependency in Employment Growth in NC Counties

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  • Scott, Ella

Abstract

Economic impact analysis has a significant role in policy making for the governments. It can increase/decrease the economic opportunities for the residents of each area. Many researchers have been studying the effect of employment growth in different regions on increasing/decreasing of employment opportunities in other regions in close proximity. In this project, I will study whether employment growth in one county can affect activities in adjacent counties within the state of North Carolina. In other words, I want to explore whether growing counties are close to each other or not by using spatial autocorrelation techniques. The unit of analysis of this research is counties in NC. I use percentage change in employment of each county between 2010 and 2015 data, collected from BEA website to test my hypothesis.

Suggested Citation

  • Scott, Ella, 2017. "Spatial Dependency in Employment Growth in NC Counties," OSF Preprints ad6rt, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:ad6rt
    DOI: 10.31219/osf.io/ad6rt
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    References listed on IDEAS

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    1. Wang, Chih-Hao & Akar, Gulsah & Guldmann, Jean-Michel, 2015. "Do your neighbors affect your bicycling choice? A spatial probit model for bicycling to The Ohio State University," Journal of Transport Geography, Elsevier, vol. 42(C), pages 122-130.
    2. Dubin, Robin A., 1998. "Spatial Autocorrelation: A Primer," Journal of Housing Economics, Elsevier, vol. 7(4), pages 304-327, December.
    3. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    4. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    5. Frank Goetzke, 2008. "Network Effects in Public Transit Use: Evidence from a Spatially Autoregressive Mode Choice Model for New York," Urban Studies, Urban Studies Journal Limited, vol. 45(2), pages 407-417, February.
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