Designing better energy metrics for consumers

by Richard P. Larrick, Jack B. Soll, & Ralph L. Keeney
February 16, 2017

Author Affiliation

Larrick, Soll, and Keeney, Fuqua School of Business, Duke University. Corresponding author’s e-mail:
[email protected]

References

1.Attari, S. Z., DeKay, M. L., Davidson, C. I., & de Bruin, W. B. (2010). Public perceptions of energy consumption and savings. PNAS: Proceedings of the National Academy of Sciences, USA, 107, 16054–16059.

2.Gillingham, K., Newell, R., & Palmer, K. (2006). Energy efficiency policies: A retrospective examination. Annual Review of Environment and Resources, 31, 161–192.

3.Gillingham, K., & Palmer, K. (2014). Bridging the energy efficiency gap: Policy insights from economic theory and empirical evidence. Review of Environmental Economics and Policy, 8, 18–38.

4.Dietz, T., Gardner, G. T., Gilligan, J., Stern, P. C., & Vandenbergh, M. P. (2009). Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions. PNAS: Proceedings of the National Academy of Sciences, USA, 106, 18452–18456.

5.Office of Transportation and Air Quality & National Highway Traffic Safety Administration. (2010). Environmental Protection Agency fuel economy label: Expert panel report (EPA-420-R-10-908). Retrieved from http://www.epa.gov/fueleconomy/label/420r10908.pdf

6.Hincha-Ownby, M. (2010). Consumers confused by proposed EPA car labels. Retrieved from http://www.mnn.com/green-tech/transportation/stories/consumers-confused-by-proposed-epa-car-labels

7.Doggett, S. (2011). EPA unveils smart new fuel economy labels. Retrieved from http://www.edmunds.com/autoobserver-archive/2011/05/epa-unveils-smart-new-fuel-economy-labels.html

8.Kahneman, D. (2011). Thinking, fast and slow. New York, NY: Farrar, Straus and Giroux.

9.Johnson, E. J., Shu, S.B., Dellaert, B. G. C., Fox, C.R., Goldstein, D.G., Haubl, G., . . . Weber, E. U. (2012). Beyond nudges: Tools of a choice architecture. Marketing Letters, 23, 487–504.

10. Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. New Haven, CT: Yale University Press.

11. Larrick, R. P., & Soll, J. B. (2008, June 20). The MPG illusion. Science, 320, 1593–1594.

12. Plumer, B. (2011, November 5). Was “cash for clunkers” a clunker? [Blog post]. Retrieved from http://www.washingtonpost.com/blogs/wonkblog/post/was-cash-for-clunkers-a-clunker/2011/11/04/gIQA42EhpM_blog.html

13. National Research Council. (2010). Technologies and approaches to reducing the fuel consumption of medium- and heavy-duty vehicles. Washington, DC: National Academies Press.

14. National Research Council. (2011). Assessment of fuel economy technologies for light-duty vehicles. Washington, DC: National Academies Press.

15. Larrick, R. P., & Cameron, K. W. (2011). Consumption-based metrics: From autos to IT. Computer, 44, 97–99.

16. Keeney, R. L. (1992). Value-focused thinking: A path to creative decision making. Cambridge, MA: Harvard University Press.

17. Ungemach, C., Camilleri, A. R., Johnson, E. J., Larrick, R. P., & Weber, E. U. (2014). Translated attributes as a choice architecture tool. Durham, NC: Duke University.

18. Weber, M., Eisenführ, F., & Von Winterfeldt, D. (1988). The effects of splitting attributes on weights in multiattribute utility measurement. Management Science, 34, 431–445.

19. Costa, D. L., & Kahn, M. E. (2013). Energy conservation “nudges” and environmentalist ideology: Evidence from a randomized residential electricity field experiment. Journal of the European Economic Association, 11, 680–702.

20. Gromet, D. M., Kunreuther, H., & Larrick, R. P. (2013). Political identity affects energy efficiency attitudes and choices. PNAS: Proceedings of the National Academy of Sciences, USA, 110, 9314–9319.

21. Schultz, P. W., Nolan, J., Cialdini, R., Goldstein, N., & Griskevicius, V. (2007). The constructive, destructive, and reconstructive power of social norms. Psychological Science, 18, 429–434.

22. Allcott, H. (2011). Social norms and energy conservation. Journal of Public Economics, 95, 1082–1095.

23. Ayres, I., Raseman, S., & Shih, A. (2013). Evidence from two large field experiments that peer comparison feedback can reduce residential energy usage. Journal of Law, Economics, and Organization, 29, 992–1022.

24. Ferraro, P. J., & Miranda, J. J. (2013). Heterogeneous treatment effects and mechanisms in information-based environmental policies: Evidence from a large-scale field experiment. Resource and Energy Economics, 35, 356–379.

25. Ferraro, P. J., Miranda, J. J., & Price, M. K. (2011). The persistence of treatment effects with norm-based policy instruments: Evidence from a randomized environmental policy experiment. American Economic Review, 101, 318–322.

26. Allcott, H., & Rogers, T. (in press). The short-run and long-run effects of behavioral interventions: Experimental evidence from energy conservation. American Economic Review.

27. Dolan, P., & Metcalfe, R. (2013). Neighbors, knowledge, and nuggets: Two natural field experiments on the role of incentives on energy conservation (CEP Discussion Paper CEPDP1222). London, United Kingdom: London School of Economics and Political Science, Centre for Economic Performance.

28. Hsee, C. K., Loewenstein, G. F., Blount, S., & Bazerman, M. H. (1999). Preference reversals between joint and separate evaluations of options: A review and theoretical analysis. Psychological Bulletin, 125, 576–590.

29. Newell, R. G., & Siikamaki, J. (2014). Nudging energy efficiency behavior: The role of information labels. Journal of the Association of Environmental and Resource Economists, 1, 555–598.

30. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263–292.

31. Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. Quarterly Journal of Economics, 106, 1039–1061.

32. Heath, C., Larrick, R. P., & Wu, G. (1999). Goals as reference points. Cognitive Psychology, 38, 79–109.

33. Carrico, A. R., & Riemer, M. (2011). Motivating energy conservation in the workplace: An evaluation of the use of group-level feedback and peer education. Journal of Environmental Psychology, 31, 1–13.

34. Harding, M., & Hsiaw, A. (2014). Goal setting and energy conservation. Journal of Economic Behavior and Organization, 107, 209–227.

35. Houde, S. (2014). How consumers respond to environmental certification and the value of energy information (NBER Working Paper w20019). Cambridge, MA: National Bureau of Economic Research.

36. Burson, K. A., Larrick, R. P., & Lynch, J. G., Jr. (2009). Six of one, half dozen of the other: Expanding and contracting numerical dimensions produces preference reversals. Psychological Science, 20, 1074–1078.

37. Hardisty, D. J., Shim, Y., & Griffin, D. (2014). Encouraging energy efficiency: Product labels activate temporal tradeoffs. Vancouver, British Columbia, Canada: University of British Columbia Sauder School of Business. Contact David Hardisty.

38. Kaenzig, J., & Wüstenhagen, R. (2010). The effect of life cycle cost information on consumer investment decisions regarding eco-innovation. Journal of Industrial Ecology, 14, 121–136.

39. Pandelaere, M., Briers, B., & Lembregts, C. (2011). How to make a 29% increase look bigger: The unit effect in option comparisons. Journal of Consumer Research, 38, 308–322.

40. Camilleri, A. R., & Larrick, R. P. (2014). Metric and scale design as choice architecture tools. Journal of Public Policy and Marketing, 33, 108–125.

41. Sunstein, C. R. (2011). Empirically informed regulation. University of Chicago Law Review, 78, 1349–1429.

42. Hardisty, D. J., & Weber, E. U. (2009). Discounting future green: Money versus the environment. Journal of Experimental Psychology: General, 138, 329–340.

43. Weber, E. U., Johnson, E. J., Milch, K. F., Chang, H., Brodscholl, J. C., & Goldstein, D. G. (2007). Asymmetric discounting in intertemporal choice: A query-theory account. Psychological Science, 18, 516–523.

44. Bollinger, B., Leslie, P., & Sorenson, A. (2011). Calorie posting in chain restaurants. American Economic Journal: Economic Policy, 3, 91–128.

45. Kiszko, K. M., Martinez, O. D., Abrams, C., & Elbel, B. (2014). The influence of calorie labeling on food orders and consumption: A review of the literature. Journal of Community Health, 39, 1–22.

46. Sinclair, S. E., Cooper, M., & Mansfield, E. D. (2014). The influence of menu labeling on calories selected or consumed: A systematic review and meta-analysis. Journal of the Academy of Nutrition and Dietetics, 114, 1375–1388.

47. Liu, P. J., Roberto, C. A., Liu, L. J., & Brownell, K. D. (2012). A test of different menu labeling presentations. Appetite, 59, 770–777.

48. Roberto, C. A., Larsen, P. D., Agnew, H., Baik, J., & Brownell, K. D. (2010). Evaluating the impact of menu labeling on food choices and intake. American Journal of Public Health, 100, 312–318.

49. Thorndike, A. N., Sonnenberg, L., Riis, J., Barraclough, S., & Levy, D. E. (2012). A 2-phase labeling and choice architecture intervention to improve healthy food and beverage choices. American Journal of Public Health, 102, 527–533.

50. Bleich, S. N., Herring, B. J., Flagg, D. D., & Gary-Webb, T. L. (2012). Reduction in purchases of sugar-sweetened beverages among low-income Black adolescents after exposure to caloric information. American Journal of Public Health, 102, 329–335.

51. James, A., Adams-Huet, B., & Shah, M. (2014). Menu label displaying the kilocalorie content or the exercise equivalent: Effects on energy ordered and consumed in young adults. American Journal of Health Promotion, 29, 294–302.

52. McKenzie, C. R. M., & Liersch, M. J. (2011). Misunderstanding savings growth: Implications for retirement savings behavior. Journal of Marketing Research, 48(SPL), S1–S13.

53. Soll, J. B., Keeney, R. L., & Larrick, R. P. (2013). Consumer misunderstanding of credit card use, payments, and debt: Causes and solutions. Journal of Public Policy and Marketing, 32, 66–81.

54. Harris, G. (2011, June 14). F.D.A. unveils new rules about sunscreen claims. The New York Times. Retrieved from http://www.nytimes.com

55. EWG. (n.d.). What’s wrong with high SPF? Retrieved from http://www.ewg.org/2014sunscreen/whats-wrong-with-high-spf/

56. Thaler, R. H., & Benartzi, S. (2004). Save More Tomorrow™: Using behavioral economics to increase employee saving. Journal of Political Economy, 112, S164–S187.

57. Johnson, E. J., & Goldstein, D. (2003, November 21). Do defaults save lives? Science, 302, 1338–1339.

58. Smith, N. C., Goldstein, D. G., & Johnson, E. J. (2013). Choice without awareness: Ethical and policy implications of defaults. Journal of Public Policy and Marketing, 32, 159–172.

59. Allcott, H. (2013). The welfare effects of misperceived product costs: Data and calibrations from the automobile market. American Economic Journal: Economic Policy, 5, 30–66.

60. Truelove, H. B., Carrico, A. R., Weber, E. U., Raimi, K. T., & Vandenbergh, M. P. (2014). Positive and negative spillover of pro-environmental behavior: An integrative review and theoretical framework. Global Environmental Change, 29, 127–138.

61. Campbell, T., & Kay, A. C. (2014). Solution aversion: On the relation between ideology and motivated disbelief. Journal of Personality and Social Psychology, 107, 809–824.

62. Feinberg, M., & Willer, R. (2013). The moral roots of environmental attitudes. Psychological Science, 24, 56–62.

63. Pacala, S., & Socolow, R. (2004, August 13). Stabilization wedges: Solving the climate problem for the next 50 years with current technologies. Science, 305, 968–972.