IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/ad6rt.html
   My bibliography  Save this paper

Spatial Dependency in Employment Growth in NC Counties

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://osf.io/download/5b5e39a6f63e21000eee4d74/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/ad6rt?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Takafumi Kato, 2020. "Likelihood-based strategies for estimating unknown parameters and predicting missing data in the simultaneous autoregressive model," Journal of Geographical Systems, Springer, vol. 22(1), pages 143-176, January.
    2. Zhenhua Chen & Laurie A. Schintler, 2023. "Rediscovering regional science: Positioning the field's evolving location in science and society," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 617-642, June.
    3. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312.
    4. João Romão & João Guerreiro & Paulo M. M. Rodrigues, 2017. "Territory and Sustainable Tourism Development: a Space-Time Analysis on European Regions," REGION, European Regional Science Association, vol. 4, pages 1-17.
    5. Chih-Hao Wang & Hongwei Dong, 2017. "Responding to the Drought: A Spatial Statistical Approach to Investigating Residential Water Consumption in Fresno, California," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    6. Kuang-Hann Chou & Chien-Hsun Chen & Chao-Cheng Mai, 2015. "Factors Influencing China's Exports with a Spatial Econometric Model," The International Trade Journal, Taylor & Francis Journals, vol. 29(3), pages 191-211, August.
    7. Hao, Yu & Liu, Yiming & Weng, Jia-Hsi & Gao, Yixuan, 2016. "Does the Environmental Kuznets Curve for coal consumption in China exist? New evidence from spatial econometric analysis," Energy, Elsevier, vol. 114(C), pages 1214-1223.
    8. Wang, Chih-Hao & Chen, Na, 2017. "A geographically weighted regression approach to investigating the spatially varied built-environment effects on community opportunity," Journal of Transport Geography, Elsevier, vol. 62(C), pages 136-147.
    9. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2017. "A multilevel spatial interaction model of transit flows incorporating spatial and network autocorrelation," Journal of Transport Geography, Elsevier, vol. 60(C), pages 155-166.
    10. David Maddison, 2007. "Modelling sulphur emissions in Europe: a spatial econometric approach," Oxford Economic Papers, Oxford University Press, vol. 59(4), pages 726-743, October.
    11. Maia A Call & Paul R Voss, 2016. "Spatio-temporal dimensions of child poverty in America, 1990–2010," Environment and Planning A, , vol. 48(1), pages 172-191, January.
    12. The Nguyen Huynh, 2022. "Dynamic spatial effects of determinants of foreign direct investment: A case of the southern key economic region of Vietnam," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 436-454, September.
    13. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
    14. Pike, Susan & Lubell, Mark, 2016. "Geography and social networks in transportation mode choice," Journal of Transport Geography, Elsevier, vol. 57(C), pages 184-193.
    15. Liu, Shuangzhe & Ma, Tiefeng & Polasek, Wolfgang, 2014. "Spatial system estimators for panel models: A sensitivity and simulation study," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 101(C), pages 78-102.
    16. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2014. "Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices," Journal of Urban Economics, Elsevier, vol. 80(C), pages 76-86.
    17. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
    18. Hans Dewachter & Romain Houssa & Priscilla Toffano, 2012. "Spatial propagation of macroeconomic shocks in Europe," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 148(2), pages 377-402, June.
    19. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2018. "Predicting travel flows with spatially explicit aggregate models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 68-88.
    20. Jorge Chica-Olmo & Rafael Cano-Guervos & Mario Chica-Rivas, 2019. "Estimation of Housing Price Variations Using Spatio-Temporal Data," Sustainability, MDPI, vol. 11(6), pages 1-21, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:ad6rt. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.