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Demanda energética residencial en España: Una aplicación del modelo QUAIDS
[Residential energy demand in Spain: An application of the QUAIDS model]

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  • Gutierrez-Lythgoe, Antonio

Abstract

This study addresses the analysis of residential demand in Spain, focusing on various energy goods such as electricity, natural gas, and fuels for personal vehicles. Employing an approach based on the QUAIDS model and using data from the 2022 Household Budget Survey from the Spanish National Statistics Institute, the potential endogeneity of expenditure is considered to ensure robust results. The findings reveal that electricity exhibits an inelastic demand, strengthening its status as an essential good, while natural gas and fuels for personal vehicles are characterized by elastic demand, classifying them as luxuries based on expenditure elasticities. Furthermore, disparities in price and expenditure elasticities are documented concerning various sociodemographic realities, with the most pronounced differences observed in households headed by unemployed individuals.

Suggested Citation

  • Gutierrez-Lythgoe, Antonio, 2023. "Demanda energética residencial en España: Una aplicación del modelo QUAIDS [Residential energy demand in Spain: An application of the QUAIDS model]," MPRA Paper 120229, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:120229
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    References listed on IDEAS

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    1. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    2. Ana Gil & José Molina, 2009. "Alcohol demand among young people in Spain: an addictive QUAIDS," Empirical Economics, Springer, vol. 36(3), pages 515-530, June.
    3. Pablo Gálvez & Petr Mariel & David Hoyos, 2016. "Análisis de la demanda residencial de los servicios básicos en España usando un modelo QUAIDS censurado," Estudios de Economia, University of Chile, Department of Economics, vol. 43(1 Year 20), pages 5-28, June.
    4. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2006. "A Residential Energy Demand System for Spain," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 87-112.
    5. Blázquez Gomez, Leticia M. & Filippini, Massimo & Heimsch, Fabian, 2013. "Regional impact of changes in disposable income on Spanish electricity demand: A spatial econometric analysis," Energy Economics, Elsevier, vol. 40(S1), pages 58-66.
    6. Canavire-Bacarreza, Gustavo & Gayoso de Ervin, Lyliana & Galeano, Juan José & Baquero, Juan Pablo, 2023. "Understanding the distributional impacts of increases in fuel prices on poverty and inequality in Paraguay," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 39, pages 77-108, Mayo.
    7. repec:hal:spmain:info:hdl:2441/f0uohitsgqh8dhk9820172631 is not listed on IDEAS
    8. Richard Blundell & Jean-Marc Robin, 2000. "Latent Separability: Grouping Goods without Weak Separability," Econometrica, Econometric Society, vol. 68(1), pages 53-84, January.
    9. Blázquez, Leticia & Boogen, Nina & Filippini, Massimo, 2013. "Residential electricity demand in Spain: New empirical evidence using aggregate data," Energy Economics, Elsevier, vol. 36(C), pages 648-657.
    10. JosÈ Alberto Molina & Ana Isabel Gil, 2005. "The demand behavior of consumers in Peru: a demographic analysis using the QUAIDS," Journal of Developing Areas, Tennessee State University, College of Business, vol. 39(1), pages 191-206, September.
    11. José Alberto Molina, 1997. "Two-stage Budgeting as an Economic Decision-making Process for Spanish Consumers," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 18(1), pages 27-31.
    12. Giménez-Nadal, J. Ignacio & Molina, José Alberto, 2019. "Green commuting and gasoline taxes in the United States," Energy Policy, Elsevier, vol. 132(C), pages 324-331.
    13. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-430, June.
    14. Chouinard Hayley H & Perloff Jeffrey M, 2007. "Gasoline Price Differences: Taxes, Pollution Regulations, Mergers, Market Power, and Market Conditions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-28, January.
    15. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    16. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2012. "Estimation of elasticity price of electricity with incomplete information," Energy Economics, Elsevier, vol. 34(3), pages 627-633.
    17. Braakmann, Nils & Dursun, Bahadir & Pickard, Harry, 2023. "Energy Price Shocks and the Demand for Energy-Efficient Housing: Evidence from Russia's Invasion of Ukraine," IZA Discussion Papers 15959, Institute of Labor Economics (IZA).
    18. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    19. Sebastien Lecocq & Jean-Marc Robin, 2015. "Estimating almost-ideal demand systems with endogenous regressors," Stata Journal, StataCorp LP, vol. 15(2), pages 554-573, June.
    20. Ray, Ranjan, 1983. "Measuring the costs of children : An alternative approach," Journal of Public Economics, Elsevier, vol. 22(1), pages 89-102, October.
    21. Massimo Filippini, 1999. "Swiss residential demand for electricity," Applied Economics Letters, Taylor & Francis Journals, vol. 6(8), pages 533-538.
    22. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    23. 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.
    24. Chouinard Hayley H & Perloff Jeffrey M, 2007. "Gasoline Price Differences: Taxes, Pollution Regulations, Mergers, Market Power, and Market Conditions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-28, January.
    25. Lewbel, Arthur, 1991. "The Rank of Demand Systems: Theory and Nonparametric Estimation," Econometrica, Econometric Society, vol. 59(3), pages 711-730, May.
    26. 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

    Electricity; Natural Gas; Fuels; QUAIDS; Residential Demand;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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