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A Spatial Econometric Analysis of Productivity Variations Across US Cities

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  • 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
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    References listed on IDEAS

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    1. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers 09/02, Institute for Fiscal Studies.
    2. 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.
    3. Bernard Fingleton, 2009. "Prediction Using Panel Data Regression with Spatial Random Effects," International Regional Science Review, , vol. 32(2), pages 195-220, April.
    4. 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, March.
    5. 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.
    6. 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.
    7. 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.
    8. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    9. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, December.
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