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Regressivity-Reducing VAT Reforms

Author

Listed:
  • Francesca Gastaldi

    (Department of Economics and Law, Sapienza University of Rome, Italy)

  • Paolo Liberati

    (Department of Economics and CEFIP, University of Roma Tre, Italy)

  • Elena Pisano

    (Tax Directorate, Bank of Italy)

  • Simone Tedeschi

    (Department of Economics, University of Roma Tre, Ital)

Abstract

A concern about a more extensive use of the Value Added Tax (VAT) in national tax systems often arises both from its impact on aggregate consumption and its alleged regressivity over income. Yet, the empirical evidence on this latter issue is still narrow mainly due to the lack of joint data on income and expenditures with enough detail to account for commodity-specific tax rates. After discussing relevant problems in the measurement of VAT incidence over current income - which are likely to cause severe upward bias in the estimated regressivity - the paper aims at analysing the distributional implications of different VAT structures. In a framework of marginal tax reforms, relying on the concept of Gini elasticity (Yitzhaki, 1983), a general methodology is proposed to analyse and improve the distributional profile of VAT over income. Using a static microsimulationmodel(EGaLiTe),the methodology is applied on a comprehensive dataset of expenditures and incomes obtained by a statistical matching of two different sources representative of the Italian population. It is shown that an alternative allocation of goods among existing rates could mitigate the regressive profile of the tax over income, and that a properly designed two-rate setting could even improve the distributional outcome compared with the current setting. Finally, behavioural responses to tax-driven price changes are also simulated in order to assess the potential impact of the proposed reforms on aggregate expenditures.

Suggested Citation

  • 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.
  • Handle: RePEc:ijm:journl:v10:y:2017:i:1:p:39-72
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    References listed on IDEAS

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    Cited by:

    1. Demetrio Guzzardi & Elisa Palagi & Andrea Roventini & Alessandro Santoro, 2022. "Reconstructing Income Inequality in Italy: New Evidence and Tax Policy Implications from Distributional National Accounts," World Inequality Lab Working Papers halshs-03693201, HAL.
    2. Cristina Cirillo & Lucia Imperioli & Marco Manzo, 2021. "The Value Added Tax Simulation Model: VATSIM-DF (II)," Working Papers wp2021-12, Ministry of Economy and Finance, Department of Finance.
    3. Julio López Laborda & Carmen Marín González & Jorge Onrubia, 2018. "Tipo reducido, superreducido y exenciones en el IVA: una estimación de sus efectos recaudatorios y distributivos a partir de las encuestas de hogares," Studies on the Spanish Economy eee2018-23, FEDEA.
    4. Corrado Benassi & Emanuela Randon, 2021. "The distribution of the tax burden and the income distribution: theory and empirical evidence," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 1087-1108, October.
    5. Boscolo, Stefano, 2019. "The contribution of proportional taxes and tax-free cash benefits to income redistribution over the period 2005-2018: Evidence from Italy," EUROMOD Working Papers EM18/19, EUROMOD at the Institute for Social and Economic Research.
    6. repec:ijm:journl:v109:y:2017:i:1:p:39-72 is not listed on IDEAS
    7. Stefano Boscolo, 2019. "The Contribution of Proportional Taxes and Tax-Free Cash Benefits to Income Redistribution over the Period 2005-2018: Evidence from Italy," Department of Economics 0152, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".

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    More about this item

    Keywords

    VAT; Redistribution; Tax Incidence; Gini elasticity; Microsimulation;
    All these keywords.

    JEL classification:

    • H22 - Public Economics - - Taxation, Subsidies, and Revenue - - - Incidence
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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