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Dynamic Salience with Intermittent Billing: Evidence from Smart Electricity Meters

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  • Ben Gilbert
  • Joshua S. Graff Zivin

Abstract

Digital tracking and the proliferation of automated payments have made intermittent billing more commonplace, and the frequency at which consumers receive price, quantity, or total expenditure signals may distort their choices. This category of goods has expanded from household utilities, toll road access and software downloads to standard consumption goods paid by credit card or other "bill-me-later"-type systems. Yet we know surprisingly little about how these payment patterns affect decisions. This paper exploits hourly household electricity consumption data collected by "smart" electricity meters to examine dynamic consumer behavior under intermittent expenditure signals. Households reduce consumption by 0.6% to 1% following receipt of an electricity bill, but the response varies considerably by household type and season. Our results also suggest that spending "reminders" can reduce peak demand, particularly during summer months. We discuss the implications for energy policy when intermittent billing combined with inattention induces consumption cycles.

Suggested Citation

  • Ben Gilbert & Joshua S. Graff Zivin, 2013. "Dynamic Salience with Intermittent Billing: Evidence from Smart Electricity Meters," NBER Working Papers 19510, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:19510
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    1. Dean Karlan & Sendhil Mullainathan & Margaret McConnell & Jonathan Zinman, 2010. "Getting to theTop of Mind: How Reminders Increase Saving," Working Papers id:2587, eSocialSciences.
    2. Victor Stango & Jonathan Zinman, 2014. "Limited and Varying Consumer Attention: Evidence from Shocks to the Salience of Bank Overdraft Fees," The Review of Financial Studies, Society for Financial Studies, vol. 27(4), pages 990-1030.
    3. Harding, Matthew & Hsiaw, Alice, 2014. "Goal setting and energy conservation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 209-227.
    4. James B. Bushnell & Erin T. Mansur, 2005. "Consumption Under Noisy Price Signals: A Study Of Electricity Retail Rate Deregulation In San Diego," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 493-513, December.
    5. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    6. Katrina Jessoe & David Rapson, 2014. "Knowledge Is (Less) Power: Experimental Evidence from Residential Energy Use," American Economic Review, American Economic Association, vol. 104(4), pages 1417-1438, April.
    7. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    8. Michael D. Grubb & Matthew Osborne, 2015. "Cellular Service Demand: Biased Beliefs, Learning, and Bill Shock," American Economic Review, American Economic Association, vol. 105(1), pages 234-271, January.
    9. Amy Finkelstein, 2009. "E-ztax: Tax Salience and Tax Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 969-1010.
    10. Ginger Zhe Jin & Phillip Leslie, 2003. "The Effect of Information on Product Quality: Evidence from Restaurant Hygiene Grade Cards," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 409-451.
    11. Raj Chetty & Adam Looney & Kory Kroft, 2009. "Salience and Taxation: Theory and Evidence," American Economic Review, American Economic Association, vol. 99(4), pages 1145-1177, September.
    12. Graff Zivin, Joshua S. & Kotchen, Matthew J. & Mansur, Erin T., 2014. "Spatial and temporal heterogeneity of marginal emissions: Implications for electric cars and other electricity-shifting policies," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 248-268.
    13. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy paradox and the diffusion of conservation technology," Resource and Energy Economics, Elsevier, vol. 16(2), pages 91-122, May.
    14. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    15. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    16. Amy Finkelstein, 2007. "E-ZTax: Tax Salience and Tax Rates," NBER Working Papers 12924, National Bureau of Economic Research, Inc.
    17. Sumit Agarwal & John C Driscoll & Xavier Gabaix & David Laibson, 2008. "Learning in the Credit Card Market," Levine's Working Paper Archive 122247000000002028, David K. Levine.
    18. Allcott, Hunt, 2011. "Rethinking real-time electricity pricing," Resource and Energy Economics, Elsevier, vol. 33(4), pages 820-842.
    19. Frank A. Wolak, 2011. "Do Residential Customers Respond to Hourly Prices? Evidence from a Dynamic Pricing Experiment," American Economic Review, American Economic Association, vol. 101(3), pages 83-87, May.
    20. Becker, Gary S & Murphy, Kevin M, 1988. "A Theory of Rational Addiction," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 675-700, August.
    21. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
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    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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