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Carbon Tax Simulations Using a Household Demand Model

Author

Listed:
  • Brännlund, Runar

    (Department of Economics, Umeå University)

  • Nordström, Jonas

    (Department of Economics, Umeå University)

Abstract

The main objective of this paper is to analyse consumer response due to changes in energy or environmental policy. To achieve the objective we for-mulate and estimate an econometric model for non-durable consumer demand in Sweden that utilises micro- as well as macro-data. The micro-economic model is conditional on male and female labour supply. A 100 percent increase of the Swedish CO2 tax will, according to the simulations, result in an increased tax payment of SEK 630 or 0.7 percent of disposable income for the households with the lowest disposable incomes. The corre-sponding numbers for the richest households are SEK 990 and 0.3 percent.

Suggested Citation

  • Brännlund, Runar & Nordström, Jonas, 1999. "Carbon Tax Simulations Using a Household Demand Model," Umeå Economic Studies 508, Umeå University, Department of Economics.
  • Handle: RePEc:hhs:umnees:0508
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    1. Thomas Sterner (ed.), 1999. "The Market and the Environment," Books, Edward Elgar Publishing, number 1567.
    2. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    3. Blundell, Richard W & Walker, Ian, 1982. "Modelling the Joint Determination of Household Labour Supplies and Commodity Demands," Economic Journal, Royal Economic Society, vol. 92(366), pages 351-364, June.
    4. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
    5. Véronique Nichèle & J.M. Robin, 1995. "Simulation of indirect tax reforms using pooled micro and macro French data [Evaluation des effets budgétaires et redistributifs de réformes de la fiscalité indirecte française]," Post-Print hal-02699381, HAL.
    6. Dale W. Jorgenson, 1997. "Welfare - Vol. 1: Aggregate Consumer Behavior," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100622, February.
    7. Robert A. Pollak, 1969. "Conditional Demand Functions and Consumption Theory," The Quarterly Journal of Economics, Oxford University Press, vol. 83(1), pages 60-78.
    8. Lewbel, Arthur, 1996. "Demand Estimation with Expenditure Measurement Errors on the Left and Right Hand Side," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 718-725, November.
    9. Amemiya, Takeshi, 1974. "Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal," Econometrica, Econometric Society, vol. 42(6), pages 999-1012, November.
    10. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    11. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    12. Nichele, Veronique & Robin, Jean-Marc, 1995. "Simulation of indirect tax reforms using pooled micro and macro French data," Journal of Public Economics, Elsevier, vol. 56(2), pages 225-244, February.
    13. Deaton, Angus & Irish, Margaret, 1984. "Statistical models for zero expenditures in household budgets," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 59-80.
    14. Guido W. Imbens & Tony Lancaster, 1994. "Combining Micro and Macro Data in Microeconometric Models," Review of Economic Studies, Oxford University Press, vol. 61(4), pages 655-680.
    15. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    16. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    17. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-597, June.
    18. Véronique Nichèle & Jean-Marc Robin, 1995. "Simulation of indirect tax reforms using pooled micro and macro French data," Post-Print hal-03587618, HAL.
    19. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    More about this item

    Keywords

    Consumer economics; demand analysis; energy taxation; simulation;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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