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The Measurement of Horizontal Inequality

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  • Slesnick, Daniel T

Abstract

An alternative approach to the measurement of horizontal inequality is developed. This measure of inequality is based on an explicit social welfare function which is formulated so as to be consistent with the basic principles of social choice. The arguments of the social welfare function are welfare functions that depend on prices, total expenditure and the demographic composition of the household. The level of horizontal inequality is defined to be the difference between the level of social welfare attained at a perfect horizontally egalitarian distribution of welfare and the level of social welfare attained at the existing distribution of individual welfare. The level of horizontal inequality induced by the introduction of commodity taxes is evaluated for the United States over the period 1947-85. Copyright 1989 by MIT Press.

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  • Slesnick, Daniel T, 1989. "The Measurement of Horizontal Inequality," The Review of Economics and Statistics, MIT Press, vol. 71(3), pages 481-490, August.
    • Handle: RePEc:tpr:restat:v:71:y:1989:i:3:p:481-90
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    Cited by:

    1. William A Pizer & Steven Sexton, 2019. "The Distributional Impacts of Energy Taxes," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 13(1), pages 104-123.
    2. Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Progressivity, horizontal equity and reranking in health care finance: a decomposition analysis for the Netherlands," Journal of Health Economics, Elsevier, vol. 16(5), pages 499-516, October.
    3. Stoian, Andreea & Vintila, Nicoleta & Tatu, Lucian & Miricescu, Emilian, 2018. "On the fairness and the redistributive effects of PIT in Central and Eastern European countries," MPRA Paper 86568, University Library of Munich, Germany.
    4. Hänsel, Martin C. & Franks, Max & Kalkuhl, Matthias & Edenhofer, Ottmar, 2022. "Optimal carbon taxation and horizontal equity: A welfare-theoretic approach with application to German household data," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).

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