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Inequality And Growth In The United States: Why Physical And Human Capital Matter

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  • Nikos Benos
  • Stelios Karagiannis

Abstract

We investigate the relationship between economic growth and top income inequality under the influence of human and physical capital accumulation, using an annual panel of U.S. state‐level data. Our analysis is based upon the “unified” framework offered by Galor and Moav (2004) while the empirics account for cross‐section dependence, parameter heterogeneity, and endogeneity, in nonstationary series. We conclude that changes in inequality do not influence growth, neither in the short run nor in the long run in the United States as a whole in the 1929–2013 period. Our findings are robust to the inclusion of overall income inequality measures. These findings provide support for the theoretical prediction of the unified theory of inequality and growth, according to which the growth effect of inequality becomes insignificant in the latest stages of economic development that the United States experiences during our period of investigation. Therefore, future policies aiming at moderating the concentration at the upper end of income distribution are not likely to have adverse growth consequences in developed countries such as the United States. (JEL I21, O47, C23)

Suggested Citation

  • Nikos Benos & Stelios Karagiannis, 2018. "Inequality And Growth In The United States: Why Physical And Human Capital Matter," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 572-619, January.
  • Handle: RePEc:bla:ecinqu:v:56:y:2018:i:1:p:572-619
    DOI: 10.1111/ecin.12475
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    1. Mdingi, Kholeka & Ho, Sin-Yu, 2023. "Income inequality and economic growth: An empirical investigation in South Africa," MPRA Paper 117733, University Library of Munich, Germany.
    2. Benos, Nikos & Tsiachtsiras, Georgios, 2019. "Innovation and Income Inequality: World Evidence," MPRA Paper 92050, University Library of Munich, Germany.
    3. Delphin Kamanda Espoir & Nicholas Ngepah, 2021. "Income distribution and total factor productivity: a cross-country panel cointegration analysis," International Economics and Economic Policy, Springer, vol. 18(4), pages 661-698, October.
    4. Karen Tumanyants & Sergey Arzhenovskiy & Olga Arkova & Maksim Monastyryov & Irina Pichulina, 2023. "Inequality and Economic Growth in Russia: Econometric Analysis," Russian Journal of Money and Finance, Bank of Russia, vol. 82(2), pages 52-77, June.

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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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