IDEAS home Printed from https://ideas.repec.org/a/sae/inrsre/v47y2024i4p475-508.html
   My bibliography  Save this article

A Spatial Econometric Analysis of Productivity Variations Across US Cities

Author

Listed:
  • Bernard Fingleton

Abstract

Using a dynamic spatial panel model applied to 377 US Metropolitan Statistical Areas (MSAs), estimated over the period 2011-2021, significant differences are found between large MSAs regarding the relationship between labour productivity and economic mass, as measured by GDP. The methodology adopted illustrates the state of the art for spatial econometric modeling as it is often needed in practice, allowing for multiple endogenous regressors and dynamic effects. The estimation method applies synthetic instruments designed to limit negative effects of instrument overabundance.

Suggested Citation

  • Bernard Fingleton, 2024. "A Spatial Econometric Analysis of Productivity Variations Across US Cities," International Regional Science Review, , vol. 47(4), pages 475-508, July.
  • Handle: RePEc:sae:inrsre:v:47:y:2024:i:4:p:475-508
    DOI: 10.1177/01600176231217952
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/01600176231217952
    Download Restriction: no

    File URL: https://libkey.io/10.1177/01600176231217952?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. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    2. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers 09/02, Institute for Fiscal Studies.
    3. Bernard Fingleton, 2023. "Estimating dynamic spatial panel data models with endogenous regressors using synthetic instruments," Journal of Geographical Systems, Springer, vol. 25(1), pages 121-152, January.
    4. Bernard Fingleton, 2009. "Prediction Using Panel Data Regression with Spatial Random Effects," International Regional Science Review, , vol. 32(2), pages 195-220, April.
    5. Alvaro Angeriz & John McCombie & Mark Roberts, 2008. "New Estimates of Returns to Scale and Spatial Spillovers for EU Regional Manufacturing, 1986—2002," International Regional Science Review, , vol. 31(1), pages 62-87, January.
    6. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    8. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, April.
    9. J. S. L. McCombie & A. P. Thirlwall, 1994. "Economic Growth and the Balance-of-Payments Constraint," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-23121-8, December.
    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. Bernard Fingleton, 2023. "Estimating dynamic spatial panel data models with endogenous regressors using synthetic instruments," Journal of Geographical Systems, Springer, vol. 25(1), pages 121-152, January.
    2. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    3. Fingleton Bernard & Gardiner Ben & Martin Ron & Barbieri Luca, 2023. "The impact of brexit on regional productivity in the UK," ZFW – Advances in Economic Geography, De Gruyter, vol. 67(2-3), pages 142-160, August.
    4. Falavigna, Greta & Ippoliti, Roberto, 2023. "SMEs’ behavior under financial constraints: An empirical investigation on the legal environment and the substitution effect with tax arrears," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    5. Manthos D. Delis & K. Christos Staikouras & Panagiotis T. Varlagas, 2008. "On the Measurement of Market Power in the Banking Industry," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7‐8), pages 1023-1047, September.
    6. Gnangnon, Sèna Kimm, 2023. "Duration of membership in the world trade organization and investment-oriented remittances inflows," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 258-277.
    7. Sèna Kimm Gnangnon, 2024. "Export product quality and inclusivity in developing countries," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 32(3), pages 807-843, July.
    8. Md. Abdul Halim & Syed Moudud-Ul-Huq & Farid Ahammad Sobhani & Ziaul Karim & Zinnatun Nesa, 2023. "The Nexus of Banks’ Competition, Ownership Structure, and Economic Growth on Credit Risk and Financial Stability," Economies, MDPI, vol. 11(8), pages 1-18, July.
    9. Mohamed Mnasri & Georges Dionne & Jean-Pierre Gueyie, 2013. "The Maturity Structure of Corporate Hedging: the Case of the U.S. Oil and Gas Industry," Cahiers de recherche 1337, CIRPEE.
    10. Du, Juntao & Shen, Zhiyang & Song, Malin & Zhang, Linda, 2023. "Nexus between digital transformation and energy technology innovation: An empirical test of A-share listed enterprises," Energy Economics, Elsevier, vol. 120(C).
    11. Fabian Dutschkus & Christian Lukas, 2022. "Social Relationships and Group Dynamics within the Supervisory Board and their Influence on CEO Compensation," Schmalenbach Journal of Business Research, Springer, vol. 74(2), pages 163-200, June.
    12. Adhikari, Tamanna & Whelan, Karl, 2023. "Did raising doing business scores boost GDP?," Journal of Comparative Economics, Elsevier, vol. 51(3), pages 1011-1030.
    13. Son Tran & Dat Nguyen & Khuong Nguyen & Canh Nguyen & Liem Nguyen, 2023. "Income Diversification, Market Structure and Bank Stability: A Cross-country Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2023(5), pages 550-568.
    14. Geiler, Philipp & Renneboog, Luc, 2015. "Taxes, earnings payout, and payout channel choice," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 178-203.
    15. Sèna Kimm Gnangnon, 2023. "Do unilateral trade preferences help reduce poverty in beneficiary countries?," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 249-288, February.
    16. Bittencourt, Manoel, 2011. "Inflation and financial development: Evidence from Brazil," Economic Modelling, Elsevier, vol. 28(1), pages 91-99.
    17. Victor Chernozhukov & Ivan Fernandez-Val & Chen Huang & Weining Wang, 2024. "Arellano-bond lasso estimator for dynamic linear panel models," CeMMAP working papers 09/24, Institute for Fiscal Studies.
    18. Meshach J. Aziakpono & Nicolette Cattaneo & T. D. Karoro, 2008. "Exchange rate pass-through to import prices in South Africa: Is there asymmetry?," Working Papers 086, Economic Research Southern Africa.
    19. Ndoricimpa, Arcade, 2024. "The ugly side of the Africa-UAE (United Arab Emirates) gold trade: Gold export misreporting and smuggling," Resources Policy, Elsevier, vol. 91(C).
    20. Vu, Tam Bang & Noy, Ilan, 2013. "Regional Effects of Natural Disasters in China," Working Paper Series 18776, Victoria University of Wellington, School of Economics and Finance.

    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:sae:inrsre:v:47:y:2024:i:4:p:475-508. 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: SAGE Publications (email available below). General contact details of provider: .

    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.