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The spatial dynamics of growth and inequality: Evidence using U.S. county-level data

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  • Atems, Bebonchu

Abstract

Based on an estimated dynamic spatial Durbin model, we find that the direct effect of a one-point increase in a county’s inequality is associated with a 3.3% decrease in its growth, while one-point increases in inequality in a county’s neighbors decrease its growth by 4.8%.

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  • Atems, Bebonchu, 2013. "The spatial dynamics of growth and inequality: Evidence using U.S. county-level data," Economics Letters, Elsevier, vol. 118(1), pages 19-22.
    • Handle: RePEc:eee:ecolet:v:118:y:2013:i:1:p:19-22
    DOI: 10.1016/j.econlet.2012.09.004
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    References listed on IDEAS

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    1. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    2. Panizza, Ugo, 2002. "Income Inequality and Economic Growth: Evidence from American Data," Journal of Economic Growth, Springer, vol. 7(1), pages 25-41, March.
    3. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    4. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 557-579, September.
    5. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2014. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 112-138, February.
    6. Banerjee, Abhijit V & Duflo, Esther, 2003. "Inequality and Growth: What Can the Data Say?," Journal of Economic Growth, Springer, vol. 8(3), pages 267-299, September.
    7. Anil Rupasingha & Stephan J. Goetz & David Freshwater, 2002. "Social and institutional factors as determinants of economic growth: Evidence from the United States counties," Review of Economic Design, Springer;Society for Economic Design, vol. 81(2), pages 139-155, April.
    8. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, June.
    9. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
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    Citations

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    Cited by:

    1. Bebonchu Atems, 2013. "A Note On The Differential Regional Effects Of Income Inequality: Empirical Evidence Using U.S. County-Level Data," Journal of Regional Science, Wiley Blackwell, vol. 53(4), pages 656-671, October.
    2. Up Lim & Donghyun Kim, 2015. "Toward Sustainable Economic Growth: A Spatial Panel Data Analysis of Regional Income Convergence in US BEA Economic Areas," Sustainability, MDPI, vol. 7(8), pages 1-17, July.
    3. Masako Oyama, 2014. "How does income distribution affect economic growth? --Evidence from Japanese prefectural data--," ISER Discussion Paper 0910, Institute of Social and Economic Research, Osaka University.
    4. Bebonchu Atems & Grayden Shand, 2018. "An empirical analysis of the relationship between entrepreneurship and income inequality," Small Business Economics, Springer, vol. 51(4), pages 905-922, December.
    5. Domenico Rossignoli, 2015. "Too many and too much? Special-interest groups and inequality at the turn of the century," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 130(3), pages 337-366.
    6. Atems, Bebonchu, 2018. "Regional heterogeneity in the relationship between inequality and growth: Evidence from panel vector autoregressions," The Journal of Economic Asymmetries, Elsevier, vol. 17(C), pages 41-47.
    7. Caijing Zhao & Yuming Wu & Xinyue Ye & Baijun Wu & Sonali Kudva, 2019. "The direct and indirect drag effects of land and energy on urban economic growth in the Yangtze River Delta, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(6), pages 2945-2962, December.

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    More about this item

    Keywords

    Income inequality; Growth; Dynamic panels; Spatial Durbin model;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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