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To What Extent Can Long-Term Investment in Infrastructure Reduce Inequality?

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  • E. Hooper
  • S. Peters
  • P. Pintus

Abstract

By reviewing US state-level panel data on infrastructure spending and on per capita income inequality from 1950 to 2010, this paper sets out to test whether there is an empirical link between infrastructure and inequality. Our main result, obtained from panel regressions with both state and time fixed effects, shows that highways and higher education spending growth in a given decade correlates negatively with Gini indices at the end of the decade. Such a finding suggests a causal effect from growth in infrastructure spending to a reduction in inequality, through better access to job and education opportunities. More significantly, this relationship is stronger with inequality at the bottom 40 per cent of the income distribution. In addition, infrastructure expenditures on highways are shown to be more effective at reducing inequality. A counterfactual experiment reveals which US states ended up with a significantly higher bottom Gini coefficient in 2010 that is attributed to underinvestment in infrastructure over the first decade of the 21st century. From a policy making perspective, this paper aims to present innovations in finance for infrastructure investments, for the US, other industrially advanced countries and also for developing economies.

Suggested Citation

  • E. Hooper & S. Peters & P. Pintus, 2017. "To What Extent Can Long-Term Investment in Infrastructure Reduce Inequality?," Working papers 624, Banque de France.
  • Handle: RePEc:bfr:banfra:624
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    References listed on IDEAS

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    Cited by:

    1. Victor Medeiros & Rafael Saulo Marques Ribeiro & Pedro Vasconcelos Maia do Amaral, 2019. "Infrastructure and income inequality: an application to the brazilian case using hierarchical spatial autoregressive models," Textos para Discussão Cedeplar-UFMG 608, Cedeplar, Universidade Federal de Minas Gerais.
    2. Ewubare, Dennis Brown, 2019. "Impact of Economic Planning on Sustainable Development in Nigeria," Asian Development Policy Review, Asian Economic and Social Society, vol. 7(1), pages 12-22, March.
    3. Emma Hooper & Sanjay Peters & Patrick A. Pintus, 2021. "The impact of infrastructure investments on income inequality: Evidence from US states," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(2), pages 227-256, April.
    4. Emma Hooper & Sanjay Peters & Patrick A. Pintus, 2018. "The Causal Effect of Infrastructure Investments on Income Inequality: Evidence from US States," Working Papers halshs-01684565, HAL.
    5. Victor Medeiros & Rafael Saulo Marques Ribeiro & Pedro Vasconscelos Maia do Amaral, 2022. "Infrastructure and income inequality: An application to the Brazilian case using hierarchical spatial autoregressive models," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1467-1486, November.
    6. Timilsina,Govinda R. & Hochman,Gal & Song,Ze, 2020. "Infrastructure, Economic Growth, and Poverty : A Review," Policy Research Working Paper Series 9258, The World Bank.
    7. Tianyi Nie & Kunhui Ye, 2017. "Demystifying the Barriers to Transport Infrastructure Project Development in Fast Developing Regions: The Case of China," Sustainability, MDPI, vol. 9(10), pages 1-18, October.

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    More about this item

    Keywords

    Public Infrastructure; Education; Highways; Income Inequality; US State Panel Data; Fixed Effects Models.;
    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
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada

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