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A Quantile Regression Approach to the Heterogeneity in Price Elasticity of Domestic Water Demand

Author

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  • Mónica Maldonado-Devis

    (EDEM Business School)

  • Vicent Almenar-Llongo

    (Catholic University of Valencia)

Abstract

This paper examines the problem of unobserved heterogeneity in urban water demand. It uses a panel quantile regression (QR) approach to focus on segments of consumers with different levels of water consumption. This estimation strategy is applied to a rich set of panel microdata capturing the consumption of water for 4,023 households in Valencia (Spain) between the years 2009 and 2011. To capture heterogeneity in a city’s residential household water consumption, a QR approach is applied to the specified water demand model, enabling analysis for different quantiles (levels) of consumption. The QR shows the behaviour of the parameters for different consumption levels. It enables differentiation of consumer reactions to different independent variables at each quantile of the distribution of the dependent variable. The results provide strong evidence of unobserved heterogeneity at different levels. This approach is useful in that it can lead to better-informed tariff design by providing an understanding of heterogeneity in price elasticities.

Suggested Citation

  • Mónica Maldonado-Devis & Vicent Almenar-Llongo, 2024. "A Quantile Regression Approach to the Heterogeneity in Price Elasticity of Domestic Water Demand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(12), pages 4851-4866, September.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:12:d:10.1007_s11269-024-03891-z
    DOI: 10.1007/s11269-024-03891-z
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    References listed on IDEAS

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    1. Frondel, Manuel & Sommer, Stephan & Vance, Colin, 2019. "Heterogeneity in German Residential Electricity Consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 131(C), pages 370-379.
    2. Wichman, Casey J. & Taylor, Laura O. & von Haefen, Roger H., 2016. "Conservation policies: Who responds to price and who responds to prescription?," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 114-134.
    3. Krause, Kate & Chermak, Janie M & Brookshire, David S, 2003. "The Demand for Water: Consumer Response to Scarcity," Journal of Regulatory Economics, Springer, vol. 23(2), pages 167-191, March.
    4. Milan Ščasný & Šarlota Smutná, 2021. "Estimation of price and income elasticity of residential water demand in the Czech Republic over three decades," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(2), pages 580-608, June.
    5. 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.
    6. Pérez-Urdiales, María & García-Valiñas, María Ángeles, 2016. "Efficient water-using technologies and habits: A disaggregated analysis in the water sector," Ecological Economics, Elsevier, vol. 128(C), pages 117-129.
    7. María Pérez-Urdiales & María García-Valiñas & Roberto Martínez-Espiñeira, 2016. "Responses to Changes in Domestic Water Tariff Structures: A Latent Class Analysis on Household-Level Data from Granada, Spain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 167-191, January.
    8. Mansur, Erin T. & Olmstead, Sheila M., 2012. "The value of scarce water: Measuring the inefficiency of municipal regulations," Journal of Urban Economics, Elsevier, vol. 71(3), pages 332-346.
    9. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    10. Yarela Flores Arévalo & Roberto D. Ponce Oliva & Francisco J. Fernández & Felipe Vásquez-Lavin, 2021. "Sensitivity of Water Price Elasticity Estimates to Different Data Aggregation Levels," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 2039-2052, April.
    11. James Yoo & Silvio Simonit & Ann P. Kinzig & Charles Perrings, 2014. "Estimating the Price Elasticity of Residential Water Demand: The Case of Phoenix, Arizona," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(2), pages 333-350.
    12. Ellen M. Pint, 1999. "Household Responses to Increased Water Rates during the California Drought," Land Economics, University of Wisconsin Press, vol. 75(2), pages 246-266.
    13. Pereira Uhr, Daniel de Abreu & Squarize Chagas, André Luis & Ziero Uhr, Júlia Gallego, 2019. "Estimation of elasticities for electricity demand in Brazilian households and policy implications," Energy Policy, Elsevier, vol. 129(C), pages 69-79.
    14. Hug March & Judit Perarnau & David Saur�, 2012. "Exploring the Links between Immigration, Ageing and Domestic Water Consumption: The Case of the Metropolitan Area of Barcelona," Regional Studies, Taylor & Francis Journals, vol. 46(2), pages 229-244, April.
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