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Local governments, in-kind transfers, and economic inequality

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Abstract

We examine how in-kind transfers provided by local governments affect economic inequality. The allocation of in-kind transfers to households and the adjustment for differences in needs are derived from a model of local government spending behavior. The model distinguishes between fixed and variable costs in production as well as mandatory programmatic spending components versus discretionary spending on different service sectors and target groups. To estimate the model, we combine Norwegian data from municipal accounts and administrative registers for the period 1982- 2013. We find that economic inequality is considerably lower when taking in-kind transfers into account. While the poor benefit from receiving a relatively large share of public services, the equalizing effect of in-kind transfers tends to be smaller than the equalizing contribution from public cash transfers. When examining the time trends in inequality, we find that local governments attenuated the growth in cash income inequality by re-allocating in-kind transfers to low-income families. This reduction in inequality is mostly due to changes in spending priorities across service sectors and target groups, whilst the contribution from re-allocation of resources across municipalities is much smaller.

Suggested Citation

  • Magne Mogstad & Rolf Aaberge & Lasse Eika & Audun Langørgen, 2018. "Local governments, in-kind transfers, and economic inequality," Discussion Papers 888, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:888
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    File URL: https://www.ssb.no/en/forskning/discussion-papers/_attachment/369305
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    2. Spencer Bastani & Daniel Waldenström, 2024. "AI, automation and taxation," Chapters, in: Stéphane Carcillo & Stefano Scarpetta (ed.), Handbook on Labour Markets in Transition, chapter 19, pages 354-370, Edward Elgar Publishing.
    3. Rolf Aaberge & Marco Francesconi & Jørgen Modalsli & Ola L. Vestad, 2024. "How Business Income Measures Affect Income Inequality and the Tax Burden," CESifo Working Paper Series 11496, CESifo.
    4. Lukas Riedel & Holger Stichnoth, 2024. "Government consumption in the DINA framework: allocation methods and consequences for post-tax income inequality," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(3), pages 736-779, June.
    5. Lingui Qin & Songqi Liu & Cuijing Zhan & Xiaofang Duan & Shuaishuai Li & Yao Hou, 2023. "Impact of China’s Local Government Competition and Environmental Regulation on Total Factor Productivity," SAGE Open, , vol. 13(1), pages 21582440231, March.
    6. Sueyoshi, Toshiyuki & Qu, Jingjing & Li, Aijun & Liu, Xiaohong, 2021. "A new approach for evaluating technology inequality and diffusion barriers: The concept of efficiency Gini coefficient and its application in Chinese provinces," Energy, Elsevier, vol. 235(C).
    7. Kim, Hyun Kyung & Lee, Sang-Hyop, 2025. "Population aging, living arrangements, and inequality: The role of familial transfers in South Korea," The Journal of the Economics of Ageing, Elsevier, vol. 31(C).
    8. Julián Costas-Fernández & Simón Lodato, 2022. "Inequality, poverty and the composition of redistribution," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 59(4), pages 925-967, November.
    9. Rolf Aaberge & Audun Langørgen & Petter Y. Lindgren, 2024. "A European equivalence scale for public in-kind transfers," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(1), pages 1-32, March.

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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General

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