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Microeconometric Analysis of Residential Water Demand

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  • Cristina Lopez-Mayan

Abstract

This paper develops a structural model for obtaining price elasticities and evaluating consumer’s response to changes in nonlinear tariffs when only panel data on household consumption are available. The model and the empirical strategy address problems implied by nonlinear tariffs, existence of a fixed cost, and use of limited data, giving rise to a random effects model with a nonlinear individual effect. Results show that the estimated model does well at fitting data and demand is inelastic, although elasticity varies by initial consumption block. Then, I estimate welfare consequences of implementing several demand policies. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Cristina Lopez-Mayan, 2014. "Microeconometric Analysis of Residential Water Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(1), pages 137-166, September.
    • Handle: RePEc:kap:enreec:v:59:y:2014:i:1:p:137-166
    DOI: 10.1007/s10640-013-9721-4
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    1. Herriges, Joseph A. & King, K.A., 1994. "Residential Demand for Electricity Under Block Rate Structures: Evidence from a Controlled Experiment," Staff General Research Papers Archive 1498, Iowa State University, Department of Economics.
    2. Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, July.
    3. Gallant, A. Ronald & Tauchen, George, 1996. "Which Moments to Match?," Econometric Theory, Cambridge University Press, vol. 12(4), pages 657-681, October.
    4. Céline Nauges & Alban Thomas, 2000. "Privately Operated Water Utilities, Municipal Price Negotiation, and Estimation of Residential Water Demand: The Case of France," Land Economics, University of Wisconsin Press, vol. 76(1), pages 68-85.
    5. Bruins, Marianne & Duffy, James A. & Keane, Michael P. & Smith, Anthony A., 2018. "Generalized indirect inference for discrete choice models," Journal of Econometrics, Elsevier, vol. 205(1), pages 177-203.
    6. Smith, A A, Jr, 1993. "Estimating Nonlinear Time-Series Models Using Simulated Vector Autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 63-84, Suppl. De.
    7. Gourieroux, C & Monfort, A & Renault, E, 1993. "Indirect Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 85-118, Suppl. De.
    8. Julie A. Hewitt & W. Michael Hanemann, 1995. "A Discrete/Continuous Choice Approach to Residential Water Demand under Block Rate Pricing," Land Economics, University of Wisconsin Press, vol. 71(2), pages 173-192.
    9. Peter C. Reiss & Matthew W. White, 2006. "Evaluating Welfare with Nonlinear Prices," NBER Working Papers 12370, National Bureau of Economic Research, Inc.
    10. Olmstead, Sheila M. & Michael Hanemann, W. & Stavins, Robert N., 2007. "Water demand under alternative price structures," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 181-198, September.
    11. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    12. Maddock, Rodney & Castano, Elkin & Vella, Frank, 1992. "Estimating Electricity Demand: The Cost of Linearising the Budget Constraint," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 350-354, May.
    13. Herriges, Joseph A & King, Kathleen Kuester, 1994. "Residential Demand for Electricity under Inverted Block Rates: Evidence from a Controlled Experiment," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 419-430, October.
    14. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680, Decembrie.
    15. Hausman, Jerry A., 1979. "The econometrics of labor supply on convex budget sets," Economics Letters, Elsevier, vol. 3(2), pages 171-174.
    16. Michael L. Nieswiadomy & David J. Molina, 1989. "Comparing Residential Water Demand Estimates under Decreasing and Increasing Block Rates Using Household Data," Land Economics, University of Wisconsin Press, vol. 65(3), pages 280-289.
    17. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291, Decembrie.
    18. Arjan Ruijs, 2009. "Welfare and Distribution Effects of Water Pricing Policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(2), pages 161-182, June.
    19. Hausman, Jerry A, 1985. "The Econometrics of Nonlinear Budget Sets," Econometrica, Econometric Society, vol. 53(6), pages 1255-1282, November.
    20. Burtless, Gary & Hausman, Jerry A, 1978. "The Effect of Taxation on Labor Supply: Evaluating the Gary Negative Income Tax Experiments," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 1103-1130, December.
    21. Fullerton, Don & Gan, Li, 2004. "A simulation-based welfare loss calculation for labor taxes with piecewise-linear budgets," Journal of Public Economics, Elsevier, vol. 88(11), pages 2339-2359, September.
    22. Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 853-883.
    23. Lester D. Taylor, 1975. "The Demand for Electricity: A Survey," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 74-110, Spring.
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    Cited by:

    1. Yusuke Kamishiro & Roberto Serrano, 2009. "Equilibrium Blocking in Large Quasilinear Economies," Working Papers wp2009_0911, CEMFI.
    2. Bruins, Marianne & Duffy, James A. & Keane, Michael P. & Smith, Anthony A., 2018. "Generalized indirect inference for discrete choice models," Journal of Econometrics, Elsevier, vol. 205(1), pages 177-203.
    3. Repullo, Rafael & Suarez, Javier, 2008. "The Procyclical Effects of Basel II," CEPR Discussion Papers 6862, C.E.P.R. Discussion Papers.

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    More about this item

    Keywords

    Household demand; Increasing-block pricing; Indirect inference; Kinked budget constraint; Panel data ; Price-elasticity; Utilities; D12; L95; Q21; Q25; Q28;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

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