IDEAS home Printed from https://ideas.repec.org/p/rff/dpaper/dp-15-35.html
   My bibliography  Save this paper

Information Provision and Consumer Behavior: A Natural Experiment in Billing Frequency

Author

Listed:
  • Wichman, Casey J.

    (Resources for the Future)

Abstract

In this study, I examine a causal effect of billing frequency on consumer behavior. I exploit a natural experiment in which residential water customers transitioned exogenously from bi-monthly to monthly billing. I find that customers increase consumption by approximately 5 percent in response to more frequent information. This result is reconciled in a model of price uncertainty, where increases in billing frequency reduce the distortion in consumers' perception of price. Using treatment effects as suffcient statistics, I calculate gains in consumer surplus equivalent to 0.5-1 percent of annual water expenditures. Heterogeneous treatment effects suggest increases in outdoor water use.

Suggested Citation

  • Wichman, Casey J., 2015. "Information Provision and Consumer Behavior: A Natural Experiment in Billing Frequency," RFF Working Paper Series dp-15-35, Resources for the Future.
  • Handle: RePEc:rff:dpaper:dp-15-35
    as

    Download full text from publisher

    File URL: http://www.rff.org/RFF/documents/RFF-DP-15-35.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gilbert, Ben & Graff Zivin, Joshua, 2014. "Dynamic salience with intermittent billing: Evidence from smart electricity meters," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 176-190.
    2. Ferraro, Paul J. & Miranda, Juan José, 2013. "Heterogeneous treatment effects and mechanisms in information-based environmental policies: Evidence from a large-scale field experiment," Resource and Energy Economics, Elsevier, vol. 35(3), pages 356-379.
    3. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    4. Hunt Allcott & Dmitry Taubinsky, 2015. "Evaluating Behaviorally Motivated Policy: Experimental Evidence from the Lightbulb Market," American Economic Review, American Economic Association, vol. 105(8), pages 2501-2538, August.
    5. 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.
    6. Harding, Matthew & Hsiaw, Alice, 2014. "Goal setting and energy conservation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 209-227.
    7. Kahn, Matthew & Wolak, Frank, 2013. "Using Information to Improve the Effectiveness of Nonlinear Pricing: Evidence from a Field Experiment," MPRA Paper 106089, University Library of Munich, Germany.
    8. James M. Sallee, 2014. "Rational Inattention and Energy Efficiency," Journal of Law and Economics, University of Chicago Press, vol. 57(3), pages 781-820.
    9. H. Allen Klaiber & V. Kerry Smith & Michael Kaminsky & Aaron Strong, 2014. "Measuring Price Elasticities for Residential Water Demand with Limited Information," Land Economics, University of Wisconsin Press, vol. 90(1), pages 100-113.
    10. Allcott, Hunt & Mullainathan, Sendhil & Taubinsky, Dmitry, 2014. "Energy policy with externalities and internalities," Journal of Public Economics, Elsevier, vol. 112(C), pages 72-88.
    11. Wichman, Casey J., 2014. "Perceived price in residential water demand: Evidence from a natural experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 308-323.
    12. 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.
    13. Christopher Timmins, 2002. "Measuring the Dynamic Efficiency Costs of Regulators' Preferences: Municipal Water Utilities in the Arid West," Econometrica, Econometric Society, vol. 70(2), pages 603-629, March.
    14. Xavier Gabaix & David Laibson, 2018. "Shrouded attributes, consumer myopia and information suppression in competitive markets," Chapters, in: Victor J. Tremblay & Elizabeth Schroeder & Carol Horton Tremblay (ed.), Handbook of Behavioral Industrial Organization, chapter 3, pages 40-74, Edward Elgar Publishing.
    15. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    16. 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.
    17. Shanjun Li & Joshua Linn & Erich Muehlegger, 2014. "Gasoline Taxes and Consumer Behavior," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 302-342, November.
    18. Mary E. Renwick & Sandra O. Archibald, 1998. "Demand Side Management Policies for Residential Water Use: Who Bears the Conservation Burden?," Land Economics, University of Wisconsin Press, vol. 74(3), pages 343-359.
    19. Veronica Grembi & Tommaso Nannicini & Ugo Troiano, 2016. "Do Fiscal Rules Matter?," American Economic Journal: Applied Economics, American Economic Association, vol. 8(3), pages 1-30, July.
    20. 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.
    21. Bryan Bollinger & Phillip Leslie & Alan Sorensen, 2011. "Calorie Posting in Chain Restaurants," American Economic Journal: Economic Policy, American Economic Association, vol. 3(1), pages 91-128, February.
    22. 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.
    23. 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.
    24. Steven Sexton, 2015. "Automatic Bill Payment and Salience Effects: Evidence from Electricity Consumption," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 229-241, May.
    25. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    26. 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.
    27. Paul J. Ferraro & Michael K. Price, 2013. "Using Nonpecuniary Strategies to Influence Behavior: Evidence from a Large-Scale Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 64-73, March.
    28. Nataraj, Shanthi & Hanemann, W. Michael, 2011. "Does marginal price matter? A regression discontinuity approach to estimating water demand," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 198-212, March.
    29. Andrew Caplin & Mark Dean, 2015. "Revealed Preference, Rational Inattention, and Costly Information Acquisition," American Economic Review, American Economic Association, vol. 105(7), pages 2183-2203, July.
    30. Nataraj, Shanthi & Hanemann, W. Michael, 2011. "Does marginal price matter? A regression discontinuity approach to estimating water demand," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 198-212, March.
    31. Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015. "Estimating Conditional Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
    32. 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.
    33. Wichman, Casey J. & Ferraro, Paul J., 2017. "A cautionary tale on using panel data estimators to measure program impacts," Economics Letters, Elsevier, vol. 151(C), pages 82-90.
    34. Strong Aaron & Goemans Chris, 2014. "Quantity Uncertainty and Demand: The Case of Water Smart Reader Ownership," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(3), pages 669-694, July.
    35. Shin, Jeong-Shik, 1985. "Perception of Price When Price Information Is Costly: Evidence from Residential Electricity Demand," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 591-598, November.
    36. Hunt Allcott, 2013. "The Welfare Effects of Misperceived Product Costs: Data and Calibrations from the Automobile Market," American Economic Journal: Economic Policy, American Economic Association, vol. 5(3), pages 30-66, August.
    37. Daniel A. Brent & Joseph H. Cook & Skylar Olsen, 2015. "Social Comparisons, Household Water Use, and Participation in Utility Conservation Programs: Evidence from Three Randomized Trials," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(4), pages 597-627.
    38. Renwick, Mary E. & Green, Richard D., 2000. "Do Residential Water Demand Side Management Policies Measure Up? An Analysis of Eight California Water Agencies," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 37-55, July.
    39. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    40. David P. Byrne & Andrea La Nauze & Leslie A.Martin, 2014. "Tell Me Something I Don’t Already Know:Informedness and External Validity in Information Programs," Department of Economics - Working Papers Series 1180, The University of Melbourne.
    41. Sébastien Houde, 2014. "How Consumers Respond to Environmental Certification and the Value of Energy Information," NBER Working Papers 20019, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brent, Daniel A. & Ward, Michael B., 2019. "Price perceptions in water demand," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    2. Wang, Xiangrui & Lee, Jukwan & Yan, Jia & Thompson, Gary D., 2018. "Testing the behavior of rationally inattentive consumers in a residential water market," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 344-359.
    3. Daniel A. Brent & Corey Lott & Michael Taylor & Joseph Cook & Kimberly Rollins & Shawn Stoddard, 2020. "What Causes Heterogeneous Responses to Social Comparison Messages for Water Conservation?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(3), pages 503-537, November.
    4. 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.
    5. Pratt, Bryan, 2023. "A fine is more than a price: Evidence from drought restrictions," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    6. Oliver R. Browne & Ludovica Gazze & Michael Greenstone, 2021. "Do Conservation Policies Work? Evidence from Residential Water Use," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 2(1), pages 190-225.
    7. Stojanovski, Ognen & Leslie, Gordon W. & Wolak, Frank A. & Huerta Wong, Juan Enrique & Thurber, Mark C., 2020. "Increasing the energy cognizance of electricity consumers in Mexico: Results from a field experiment," Journal of Environmental Economics and Management, Elsevier, vol. 102(C).
    8. Laura Abrardi, 2019. "Behavioral barriers and the energy efficiency gap: a survey of the literature," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(1), pages 25-43, March.
    9. Wang, Jingjing & Chermak, Janie M., 2021. "Is less always more? Conservation, efficiency and water education programs," Ecological Economics, Elsevier, vol. 184(C).
    10. Liang Lu & David Deller & Morten Hviid, 2018. "Price and Behavioural Signals to Encourage Household Water Conservation in Temperate Climates," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2018-01, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    11. Palmer, Karen & Walls, Margaret, 2015. "Does Information Provision Shrink the Energy Efficiency Gap? A Cross-City Comparison of Commercial Building Benchmarking and Disclosure Laws," RFF Working Paper Series dp-15-12, Resources for the Future.
    12. Tonke, Sebastian, 2020. "Imperfect Procedural Knowledge: Evidence from a Field Experiment to Encourage Water Conservation," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224536, Verein für Socialpolitik / German Economic Association.
    13. Wichman, Casey, 2024. "Efficiency, Equity, and Cost-Recovery Trade-Offs in Municipal Water Pricing," RFF Working Paper Series 24-18, Resources for the Future.
    14. Michael K. Price, 2014. "Using field experiments to address environmental externalities and resource scarcity: major lessons learned and new directions for future research," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(4), pages 621-638.
    15. Tonke, Sebastian, 2024. "Providing procedural knowledge: A field experiment to encourage resource conservation in Namibia," Journal of Development Economics, Elsevier, vol. 166(C).
    16. Nathan DeMaagd & Michael J. Roberts, 2020. "How Will Climate Change Affect Water Demand? Evidence from Hawaii Microclimates," Working Papers 202020, University of Hawaii at Manoa, Department of Economics.
    17. Quinn Keefer & Galib Rustamov, 2018. "Limited attention in residential energy markets: a regression discontinuity approach," Empirical Economics, Springer, vol. 55(3), pages 993-1017, November.
    18. Liang Lu & David Deller & Morten Hviid, 2019. "Price and Behavioural Signals to Encourage Household Water Conservation: Implications for the UK," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 475-491, January.
    19. Brent, Daniel A. & Friesen, Lana & Gangadharan, Lata & Leibbrandt, Andreas, 2017. "Behavioral Insights from Field Experiments in Environmental Economics," International Review of Environmental and Resource Economics, now publishers, vol. 10(2), pages 95-143, May.
    20. María Ángeles García-Valiñas & Sara Suárez-Fernández, 2022. "Are Economic Tools Useful to Manage Residential Water Demand? A Review of Old Issues and Emerging Topics," Post-Print hal-04067487, HAL.

    More about this item

    Keywords

    information provision; billing frequency; price perception; natural experiment; water demand; water conservation; welfare;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H42 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Private Goods
    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rff:dpaper:dp-15-35. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Resources for the Future (email available below). General contact details of provider: https://edirc.repec.org/data/rffffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.