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Simulation of indirect tax reforms using pooled micro and macro French data

Author

Listed:
  • Véronique Nichèle

    (CORELA - Laboratoire de Recherche sur la Consommation - INRA - Institut National de la Recherche Agronomique)

  • Jean-Marc Robin

    (UP1 - Université Paris 1 Panthéon-Sorbonne)

Abstract

This paper assesses the consequences of two reforms of the French indirect taxation system: a VAT harmonization which is close to initial EC proposals and a carbon tax which aims at decreasing the emissions of carbon dioxide. We simulate the effects of tax reforms using estimates of a model of household expenditure behaviour. Estimation is obtained by using the property of perfect aggregation over households of the Almost Ideal demand system on pooled micro data from the 1978–1979, 1984–1985, 1989 issues of the French ‘Enquête Budgets des Familles' combined with macro data from the Quarterly National Accounts from 1970 to 1990. Simulations are conducted using a subsample of households from the 1989 consumer survey and generate useful results about the behavioural reactions to tax changes, the impact on government revenue and the distributional effects of the reforms.

Suggested Citation

  • Véronique Nichèle & Jean-Marc Robin, 1995. "Simulation of indirect tax reforms using pooled micro and macro French data," Post-Print hal-03587618, HAL.
    • Handle: RePEc:hal:journl:hal-03587618
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    Citations

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    Cited by:

    1. Crawford, Ian & Laisney, Francois & Preston, Ian, 2003. "Estimation of household demand systems with theoretically compatible Engel curves and unit value specifications," Journal of Econometrics, Elsevier, vol. 114(2), pages 221-241, June.
    2. Fang, Hongsheng & Bao, Yuxin & Zhang, Jun, 2017. "Asymmetric reform bonus: The impact of VAT pilot expansion on China's corporate total tax burden," China Economic Review, Elsevier, vol. 46(S), pages 17-34.
    3. Olivier Allais & Patrice Bertail & Véronique Nichèle, 2010. "The Effects of a Fat Tax on French Households' Purchases: A Nutritional Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 228-245.
    4. Eshagh Mansourkiaee, 2023. "Estimating energy demand elasticities for gas exporting countries: a dynamic panel data approach," SN Business & Economics, Springer, vol. 3(1), pages 1-28, January.
    5. Toshinobu Matsuda, 2005. "Differential Demand Systems: A Further Look at Barten's Synthesis," Southern Economic Journal, John Wiley & Sons, vol. 71(3), pages 607-619, January.
    6. Thomas Douenne, 2018. "The vertical and horizontal distributive effects of energy taxes," Policy Papers 2018.05, FAERE - French Association of Environmental and Resource Economists.
    7. Brännlund, Runar & Nordström, Jonas, 2001. "Modelling Consumer Demand and Household Labour Supply: Welfare Effects of Increasing Carbon Taxes," Umeå Economic Studies 571, Umeå University, Department of Economics.
    8. Delgado, Miguel A & Miles, Daniel, 1997. "Household Characteristics and Consumption Behaviour: A Nonparametric Approach," Empirical Economics, Springer, vol. 22(3), pages 409-429.
    9. Kurt Kratena & Ina Meyer & Michael Wüger, 2009. "Ökonomische, technologische und soziodemographische Einflussfaktoren der Energienachfrage," WIFO Monatsberichte (monthly reports), WIFO, vol. 82(7), pages 525-538, July.
    10. Audrey Berry, 2018. "Compensating households from carbon tax regressivity and fuel poverty: a microsimulation study," Working Papers hal-01691088, HAL.
    11. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    12. Audrey Berry, 2017. "Compensating households from carbon tax regressivity and fuel poverty: a microsimulation study," Policy Papers 2017.08, FAERE - French Association of Environmental and Resource Economists.
    13. Creedy, John & Sleeman, Catherine, 2006. "Carbon taxation, prices and welfare in New Zealand," Ecological Economics, Elsevier, vol. 57(3), pages 333-345, May.
    14. Christoph Böhringer, Florian Landis, and Miguel Angel Tovar Reaños, 2017. "Economic Impacts of Renewable Energy Production in Germany," The Energy Journal, International Association for Energy Economics, vol. 0(KAPSARC S).
    15. Jérôme Adda, 2007. "Behavior towards health risks: An empirical study using the “Mad Cow” crisis as an experiment," Journal of Risk and Uncertainty, Springer, vol. 35(3), pages 285-305, December.
    16. Berry, Audrey, 2019. "The distributional effects of a carbon tax and its impact on fuel poverty: A microsimulation study in the French context," Energy Policy, Elsevier, vol. 124(C), pages 81-94.
    17. Oya Pinar Ardic & Burcay Erus & Gurcan Soydan, 2010. "An evaluation of indirect taxes in Turkey," Economics Bulletin, AccessEcon, vol. 30(4), pages 2787-2801.
    18. Brannlund, Runar & Nordstrom, Jonas, 2004. "Carbon tax simulations using a household demand model," European Economic Review, Elsevier, vol. 48(1), pages 211-233, February.
    19. Arabatzis, Garyfallos & Klonaris, Stathis, 2009. "An analysis of Greek wood and wood product imports: Evidence from the linear quadratic aids," Forest Policy and Economics, Elsevier, vol. 11(4), pages 266-270, July.
    20. Romero-Jordán, Desiderio & del Río, Pablo & Jorge-García, Marta & Burguillo, Mercedes, 2010. "Price and income elasticities of demand for passenger transport fuels in Spain. Implications for public policies," Energy Policy, Elsevier, vol. 38(8), pages 3898-3909, August.
    21. Desiderio Romero-Jordán & José Félix Sanz-Sanz, 2009. "Energy Taxes and Household Compliance with the Kyoto Protocol," Public Finance Review, , vol. 37(2), pages 142-169, March.
    22. Frank Denton & Dean Mountain, 2011. "Taxing a Commodity with and without Revenue Neutrality: A Calibrated Theoretical Consumer Equilibrium Model," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 39(3), pages 261-271, September.

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