Abstract
We design an induced value laboratory consumption choice experiment where complex tariff schemes trigger nonlinear simplification heuristics that lead individuals to over- or underconsume public goods such as electricity, gas, or drinking water. By studying this “schmeduling” bias, we investigate how an informational nudge could reduce it. Participants choose consumption levels repeatedly under different tariff schemes, where the marginal price per unit either remains constant (constant block rate, i.e., CBR) or increases above a certain threshold (increasing block rate, or IBR). We observe that the vast majority of choices are optimal, but a significant number of them reveal overconsumption. To investigate the impact of the informational nudge on these errors, some of our participants received a marginal price reminder. In that case, the learning effect helps to achieve convergence towards the optimal consumption value. To explain these effects, we use econometric models relying on microeconomic behavioral inattention to price to capture the magnitude of consumers’ inattention, observing, in particular, how the informational nudge is decreasing it.
Similar content being viewed by others
Availability of Data and Material/Data Availability
The data will be provided upon request by authors in a csv file when the final publication into the journal is ensured.
Notes
As noticed by Gabaix [16], “If people don’t pay attention, perhaps a reminder will help. In terms of modeling, such a reminder could be a “free signal.” This is precisely the way we pave, since some of our participants get a price reminder when choosing consumption level in order to draw their attention to the price and help them to make better consumption choices (i.e., choices that improve their own welfare).
Additional details about the composition of our experimental sample are given in the Appendix 2.
In that, our experimental results are consistent with the ones obtained by Rees-Jones and Taubinsky [4], who find strong evidence for ironing in the case of the US Federal Income Tax schedule by using a field experiment.
The variable switch corresponds to the number of safe lotteries chosen against a risky lottery in the Holt-Laury procedure for eliciting the risk-aversion level for a given participant. A switch that equals 4 implies risk neutrality. For more details, see Holt and Laury [35].
This is consistent with the framework used by, among others, Alcott and Kessler [9] or Brent and Ward [8] that distinguish an internality parameter (a factor that affects choice but not experienced utility, e.g., mistake in evaluation due to inattention) from the moral cost of choice (coming for instance from consumption comparison to peers).
Gabaix [16], p. 268.
References
Ben Zaied, Y., Ben Cheikh, N., & Nguyen, P. (2019). Threshold effect in residential water demand: Evidence from smooth transition models. Environmental Modeling & Assessment, 24, 677–689.
Blaufus, K., Bob, J., Hundsdoerfer, J., Kiesewetter, D., & Weimann, J. (2013). Decision heuristics and tax perception – An analysis of a tax-cut-cum-base-broadening policy. Journal of Economic Psychology, 35, 1–16.
Liebman, J. B., & Zeckhauser, J. (2004). “Schmeduling”, Harvard University and NBER from http://www.econ.yale.edu/~shiller/behmacro/2004-11/schmeduling-zeckhauser.pdf
Rees-Jones, A., & Taubinsky, D. (2020). Measuring “schmeduling.” The Review of Economic Studies, 87(5), 2399–2438.
Ito, K. (2014). Do consumers respond to marginal or average price? Evidence from nonlinear electricity pricing. The American Economic Review, 104(2), 537–563.
Wichman, C. J. (2014). Perceived price in residential water demand: Evidence from a natural experiment. Journal of Economic Behavior & Organization, 107, 308–323.
Binet, M. E., Carlevaro, F., & Paul, M. (2014). Estimation of residential water demand with imperfect price perception. Environmental and Resource Economics, 59(4), 561–581.
Brent, D., & Ward, M. B. (2019). Price perceptions in water demand. Journal of Environmental Economics and Management, 98, 102–266.
Alcott, H., & Kessler, J. (2019). The welfare effects of nudges: A case study of energy user social comparisons. American Economic Journal: Applied Economics, 11(1), 236–276.
Smith, V. (1976). Experimental economics: Induced value theory. The American Economic Review, 66(2), 274–279.
Lusk, J., & Shogren, J. F. (2007). Experimental auctions: Methods and applications in economic and marketing research. Cambridge University Press.
Gabaix, X. (2014). A sparsity-based model of bounded rationality. Quarterly Journal of Economics, 129(4), 1661–1710.
Wang, X., Lee, J., Yan, J., & Thompson, G. D. (2018). Testing the behavior of rationally inattentive consumers in a residential water market. Journal of Environmental Economics and Management, 92, 344–359.
Martin, J. M., Lejarraga, T., & Gonzales, C. (2018). The effects of motivation and memory on the weighting of reference prices. Journal of Economic Psychology, 65, 16–25.
DellaVigna, S. (2009). Psychology and economics: Evidence from the field. Journal of Economic Literature, 47(2), 315–372.
Gabaix, X. (2019). Behavioral inattention. In: Handbook of Behavioral Economics, edited by D. Bernheim, S. DellaVigna and D. Laibson. Vol. 2. Elsevier, 261–343.
Ferraro, P. J., & Price, M. (2013). Using non-pecuniary strategies to influence behavior: Evidence from a large-scale field experiment. The Review of Economics and Statistics, 95(1), 64–73.
Bernedo, M., Ferraro, P. J., & Price, M. (2014). The persistent impacts of norm-based messaging and their implications for water conservation. Journal of Consumer Policy, 37(3), 437–452.
Torres, J., Monica, M., & Carlsson, F. F. (2018). Direct and spillover effects of a social information campaign on residential water-savings. Journal of Environmental Economics and Management, 92, 222–243.
Cason, T. N., & Raymond, L. (2011). Framing effects in an emissions trading experiment with voluntary compliance. Research in Experimental Economics, 14, 77–114.
Pevnitskaya, S., & Ryvkin, D. (2013). Environmental context and termination uncertainty in games with a dynamic public bad. Environmental Development Economics, 18(1), 27–49.
Bernold, E., Gsottbauer, E., Ackerman, K. A., & Murphy, R. O. (2015). Social framing and cooperation: The roles and interaction of preferences and beliefs. Available from. https://doi.org/10.2139/ssrn.2557927
Alekseev, A., Charness, G., & Gneezy, U. (2017). Experimental methods: When and why contextual instructions are important. Journal of Economic Behavior and Organization, 134, 48–59.
Murphy, J., Stevens, T., & Yadav, L. (2010). A comparison of induced value and home-grown value experiments to test for hypothetical bias in contingent valuation. Environmental and Resource Economics, 47(1), 111–123.
Huck, S., & Wallace, B. (2015). The impact of price frames on consumer decision making: Experimental evidence. from https://www.ucl.ac.uk/~uctpbwa/papers/price-framing.pdf
Stone, R. (1954). Linear expenditure systems and demand analysis: An application to the pattern of British demand. The Economic Journal, 64, 511–527.
Gaudin, S., Griffin, R., & Sickles, R. (2001). Demand specification for municipal water management: Evaluation of the Stone-Geary Form. Land Economics, 77(3), 399–422.
Martinez-Espineira, R., & Nauges, C. (2004). Is all domestic water consumption sensitive to price control? Applied Economics, 36(15), 1697–1703.
Coffman, L., Featherstone, C. R., & Kessler, J. B. (2015). A model of information nudges. From https://pdfs.semanticscholar.org/53ad/dcb393a4a770e4f307eadbea5716a74f7b9f.pdf.
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.
Loewenstein, G., & Chater, N. (2017). Putting nudges in perspective. Behavioural Public Policy, 1(1), 26–53.
Nosvelli, M., & Musolesi, A. (2009). Water consumption and long-run socio-economic development: An intervention and a principal component analysis for the city of Milan. Environmental Modeling & Assessment, 14, 303–314.
Greiner, B. (2015). Subject pool recruitment procedures: Organizing experiments with ORSEE. Journal of Economic Science Association, 1(1), 114–125.
Fischbacher, U. (2007). Z-Tree: Zurich toolbox for ready-made economic experiments. Experimental Economics, 10(2), 171–178.
Holt, C. A., & Laury, S. K. (2002). Risk aversion and incentive effects. The American Economic Review, 92(5), 1644–1655.
Acemoglu, D. & Muhamet, Y. (2001). Evolution of perceptions and play. Working Paper, MIT Department of Economics Working Papers Series, available at https://dspace.mit.edu/handle/1721.1/63533.
Gossner, O., & Steiner, J. (2018). On the cost of misperception: General results and behavioral applications. Journal of Economic Theory, 177, 816–847.
Sexton, S. (2015). Automatic bill payment and salience effects: Evidence from electricity consumption. The Review of Economics and Statistics, 97(2), 229–241.
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Pres.
Acknowledgements
We thank Elven Priour for programming the script and organizing the experimental sessions. We also thank participants to various conferences and seminars for helpful comments. We are also grateful to reviewers for helping us to significantly improve our paper.
Funding
We acknowledge the financial support of the University of Rennes 1 and of WATER JPI, NEWTS Project. Gratifications of experimental participants are paid thanks to the financial support by ANR NEWTS (Nudges for Economics of Water TariffS, Water JPI Joint Call, ANR-18-WTW7-000,207).
Author information
Authors and Affiliations
Contributions
All of the three authors contribute fully and equally to the final paper.
Corresponding author
Ethics declarations
Ethics Approval
Not applicable (no ethics committee exist at University of Rennes 1).
Consent to Participate
Each invited participant individually signed his/her consent form to be able to participate at the beginning of the experimental session. If he/she disagrees with the consent form, or is reluctant to finally participate, he/she is free to leave the experimental lab.
Consent for Publication
We follow fully the European Regulation Act RGPD (General Regulation for Private Data Protection) implemented in France since the 05/25/2018: Data are fully anonymized, safely kept under robust data privacy and security protocols, and are only used for scientific purposes. All of this information is provided to each participant at the beginning of experimental sessions.
Conflict of Interest
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendices
Appendix 1
Instructions for IBR scheme with no information reminder + IBR with information reminder (translated from French)
Welcome,
Thanks for participating to this experimental session. If you make your choices carefully, you will be able to obtain a considerable amount of money, with the amount depending on your choices.
More precisely, during this experiment, you will have to make 40 choices during 40 periods, with 2 steps, each step being made of 20 periods. During each of these period choices, you will be able to obtain a certain amount of points. At the end of the session, the computer will randomly choose for each participant 2 period choices made during the first step and 2 period choice made during the second step. The computer will add all the points the participant gained during these 4 periods randomly chosen and will convert the total number of points in euros according to the following rate: 1 euro per 20 points.
Main Principle of the Experiment
During each period, you will have to choose a certain amount of goods to purchase given a personal endowment (in points, displayed on your computer screen in your personal choice computer interface) that you have and for a given unit price for this good. It is not possible to have expenditures that are higher than your personal endowment. The unit price of the good to purchase will be given in the following instructions for each step, and this price may change between the first and the second step. The more units you will buy, the more points you will gain. However, you will have to deduct from this gain the amount you should pay for these units + a certain amount of administrative charges.
Your net gain will be computed in the following way by the computer:
Your net payoff = Gross Payoff – Administrative Charges – Total price for goods
The total price for the goods purchased will simply be the number of units you bought multiplied by the unit price. For instance, if the unit price equals 1 and if you choose to buy 7 units, the computer will deduct 7 points (1*7) for the total price + a certain amount of administrative charges for buying 7 unit.
When you make your choice, the computer screen will display some information that will help you to compute your possible payoffs, namely, gains in points depending on the number of units you purchase and administrative charges.
The First Step
This step will last 20 periods. During this first step, the unit price for the good will be 1 point per unit if you purchase strictly less than 6 units and 3 points per unit if you purchase 6 units or more (up to 20). Depending on the number of units you purchase, the gross gains and the administrative charges will stay the same for each period (Fig. 7).
The computer interface for making your choice during the first step will be as follows:
(Attention please! The figures that you see in this screen capture are not necessarily the same as the ones that will be displayed when you will actually have to choose.)
Here, choosing to purchase will consist of moving the cursor to a given number of units you want to purchase, from 0 to a maximum of 20 units. In the screen capture, this fictitious participant receives an endowment of 200 points. If he chooses to buy 10 units, as this number is higher than 6, the unit price equals 3. The purchasing price would be therefore 10*3 = 30 points. As a consequence, this participant would receive 269 points as her gross payoff and would be charged 170 points for administrative charges. Finally, her net payoff for purchasing 10 units would be computed as follows:
Net payoff = 269 −170 −30 = 69 points.
As a consequence, her net payoff in the first step would be the following:
OR
At the end of each period, the computer will display a screen that will recall your personal endowment, the number of units you chose to purchase, the amount of administrative charges for your purchase, the total purchasing price, your gross payoff, and finally your net payoff.
These period choices will be repeated 20 times during this first step.
Second Step
For this step, the unit price for the good will be 1 point per unit strictly less than 6 units and 3 points per unit if you purchase 6 units or more (up to 20). Depending on the number of units you may purchase, you will obtain, similar to the first step, gross payoffs and you will be charged administrative charges. Gross gains and administrative charges during this second period will be the same as in the first period (Fig. 8).
The computer interface for making your choice during the second step will be as follows:
(Attention please! The figures that you see in this screen capture are not necessarily the same as the ones that will be displayed when you will actually have to choose.)
Here, choosing to purchase will consist of moving the cursor to a given number of units you want to purchase, from 0 to a maximum of 20 units. Differently from the first step, the unit price will be displayed on the screen below the cursor (here, as the number of units selected is 17, the unit price is recalled to be 3 points per unit).
In the screen capture, this fictitious participant receives an endowment of 200 points. If she chooses to buy 10 units, as this number is strictly higher than 5, the unit price equals 3. The purchasing price would therefore be 10*3 = 30 points. As a consequence, this participant would receive 269 points as her gross payoff and would be charged 170 points in administrative charges. Finally, her net payoff for purchasing 10 units would be computed as follows:
Net payoff = 269 −170 −30 = 69 points.
As a consequence, her net payoff in the first step would be the following:
Net payoff = Gross Gain – Administrative Charges – (1 point × number of purchased units IF the number of purchased units is strictly less than 6).
OR
Net payoff = Gross Gain – Administrative Charges – (3 points × number of purchased units IF the number of purchased units is equal to or more than 6).
At the end of each period, the computer will display a screen that will recall your personal endowment, the number of units you chose to purchase, the amount of administrative charges for your purchase, the total purchasing price, your gross payoff, and finally your net payoff.
These period choices will be repeated 20 times during this second step (Tables 11 and 12).
Your Final Payoff
When each participant completed the 40 period choices, the computer would randomly draw 4 periods for each participant as described earlier, and would display your total payoff both in points and in Euros.
Good luck!
6.1 Appendix 2. Some Characteristics About the Experimental Sample (n = 120)
A majority of the 120 participants (54.17%) were first year students at the university. The others are in their second year (31.67%), third year (10.83%), or fourth year (2.50%).
53.3% of the students in the experiment are studying economics, 20% are enrolled in law or humanities, 5% in management, 1.7% in science, and 20% in other types of studies.
Rights and permissions
About this article
Cite this article
Binet, ME., Denant-Boemont, L. & Hammiche, S. The Incidence of Tariff Schedules and Price Information on Inattentive Consumers: a Lab Experiment. Environ Model Assess 27, 729–746 (2022). https://doi.org/10.1007/s10666-022-09845-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10666-022-09845-2