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Marginal and Non-marginal Commodity Tax Reforms with Rank Two and Rank Three Demographic Demand Systems

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  • Ray, Ranjan

Abstract

This paper shows that the insensitivity of marginal commodity tax reforms to demand specification does not extend to the nonmarginal case. The size of the tax change has a sharp impact on commodity tax reforms. Unlike price effects, neither household composition nor quadratic Engel curves alters significantly the direction of tax change. The first order approximation overestimates the welfare cost of tax change, and the bias increases sharply with the size of the change. The quality of the approximation also deteriorates with increasing inequality aversion making a Rawlsian less likely than an utilitarian to use the marginal framework. Copyright 1999 by Royal Economic Society.

Suggested Citation

  • Ray, Ranjan, 1999. "Marginal and Non-marginal Commodity Tax Reforms with Rank Two and Rank Three Demographic Demand Systems," Oxford Economic Papers, Oxford University Press, vol. 51(4), pages 689-712, October.
    • Handle: RePEc:oup:oxecpp:v:51:y:1999:i:4:p:689-712
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    Cited by:

    1. Alessandro Santoro, 2007. "Marginal Commodity Tax Reforms: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 827-848, September.
    2. Alain Babatounde & Bart Capeau & Romain Houssa, 2023. "Welfare effects of indirect tax policies in West Africa," DeFiPP Working Papers 2301, University of Namur, Development Finance and Public Policies.
    3. Rinaldo Brau & Massimo Florio, 2004. "Privatisations as price reforms: Evaluating consumers' welfare changes in the U.K," Annals of Economics and Statistics, GENES, issue 75-76, pages 109-133.
    4. Peter Tóth & Andrej Cupák & Marian Rizov, 2021. "Measuring the efficiency of VAT reforms: a demand system simulation approach," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1218-1243.
    5. Urakawa, Kunio & Oshio, Takashi, 2010. "Comparing marginal commodity tax reforms in Japan and Korea," Journal of Asian Economics, Elsevier, vol. 21(6), pages 579-592, December.
    6. Chen, Shu-Ling & Chern, Wen S. & Lin, Yi-Ru & Liu, Kang Ernest, 2015. "Effects of food safety and health risk information on demand for food in Taiwan," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205452, Agricultural and Applied Economics Association.
    7. Massimo Florio & Rinaldo Brau, 2001. "Privatisations as price reforms: an analysis of consumers' welfare change in the U.K," Departmental Working Papers 2001-19, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    8. repec:ijm:journl:v109:y:2017:i:1:p:39-72 is not listed on IDEAS
    9. Tovar Reaños, Miguel A. & Wölfing, Nikolas M., 2018. "Household energy prices and inequality: Evidence from German microdata based on the EASI demand system," Energy Economics, Elsevier, vol. 70(C), pages 84-97.
    10. Ole Boysen, 2019. "When does specification or aggregation across consumers matter for economic impact analysis models? An investigation into demand systems," Empirical Economics, Springer, vol. 56(1), pages 137-172, January.
    11. Francesca Gastaldi & Paolo Liberati & Elena Pisano & Simone Tedeschi, 2017. "Regressivity-Reducing VAT Reforms," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 39-72.

    More about this item

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation

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