Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/23692.html
   My bibliography  Save this paper

Prospect Theory and Energy Efficiency

Author

Listed:
  • Garth Heutel
Abstract
Investments in energy efficiency entail uncertainty, and when faced with uncertainty consumers have been shown to behave according to prospect theory: preferences are reference-dependent and exhibit loss aversion, and probabilities are subjectively weighted. Using data from a choice experiment eliciting prospect theory parameters, I provide evidence that loss-averse people are less likely to invest in energy efficiency. Then, I consider policy design under prospect theory when there are also externalities from energy use. A higher degree of loss aversion implies a higher subsidy to energy efficiency. Numerical simulations suggest that the impact of prospect theory on policy may be substantial.

Suggested Citation

  • Garth Heutel, 2017. "Prospect Theory and Energy Efficiency," NBER Working Papers 23692, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:23692
    Note: EEE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w23692.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kenneth Gillingham & Karen Palmer, 2014. "Bridging the Energy Efficiency Gap: Policy Insights from Economic Theory and Empirical Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 8(1), pages 18-38, January.
    2. Nair, Gireesh & Gustavsson, Leif & Mahapatra, Krushna, 2010. "Factors influencing energy efficiency investments in existing Swedish residential buildings," Energy Policy, Elsevier, vol. 38(6), pages 2956-2963, June.
    3. Ravi Kanbur & Jukka Pirttilä & Matti Tuomala, 2006. "Non‐Welfarist Optimal Taxation And Behavioural Public Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 20(5), pages 849-868, December.
    4. W. Botzen & Jeroen Bergh, 2014. "Specifications of Social Welfare in Economic Studies of Climate Policy: Overview of Criteria and Related Policy Insights," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 1-33, May.
    5. Brent, Daniel A. & Ward, Michael B., 2018. "Energy efficiency and financial literacy," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 181-216.
    6. Thomas Aronsson & Olof Johansson-Stenman, 2018. "Paternalism against Veblen: Optimal Taxation and Non-respected Preferences for Social Comparisons," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 39-76, February.
    7. Richard H. Thaler & Amos Tversky & Daniel Kahneman & Alan Schwartz, 1997. "The Effect of Myopia and Loss Aversion on Risk Taking: An Experimental Test," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 647-661.
    8. Ivan Moscati, 2016. "Retrospectives: How Economists Came to Accept Expected Utility Theory: The Case of Samuelson and Savage," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 219-236, Spring.
    9. Caroline J. Charpentier & Jan-Emmanuel De Neve & Jonathan P. Roiser & Tali Sharot, 2016. "Models of affective decision-making: how do feelings predict choice?," CEP Discussion Papers dp1408, Centre for Economic Performance, LSE.
    10. Ian Ayres & Sophie Raseman & Alice Shih, 2013. "Evidence from Two Large Field Experiments that Peer Comparison Feedback Can Reduce Residential Energy Usage," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 29(5), pages 992-1022, October.
    11. Richard G. Newell & Juha Siikamäki, 2015. "Individual Time Preferences and Energy Efficiency," American Economic Review, American Economic Association, vol. 105(5), pages 196-200, May.
    12. O'Donoghue, Ted & Rabin, Matthew, 2006. "Optimal sin taxes," Journal of Public Economics, Elsevier, vol. 90(10-11), pages 1825-1849, November.
    13. Mohammed Abdellaoui & Han Bleichrodt & Olivier L’Haridon, 2008. "A tractable method to measure utility and loss aversion under prospect theory," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 245-266, June.
    14. Roland Fryer & Steven Levitt & John List & Sally Sadoff, 2012. "Enhancing the Efficacy of Teacher Incentives through Loss Aversion: A Field Experiment," Framed Field Experiments 00591, The Field Experiments Website.
    15. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    16. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    17. Markus Jäntti & Ravi Kanbur & Milla Nyyssölä & Jukka Pirttilä, 2014. "Poverty and Welfare Measurement on the Basis of Prospect Theory," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(1), pages 182-205, March.
    18. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    19. Lucas W. Davis, 2011. "Evaluating the Slow Adoption of Energy Efficient Investments: Are Renters Less Likely to Have Energy Efficient Appliances?," NBER Chapters, in: The Design and Implementation of US Climate Policy, pages 301-316, National Bureau of Economic Research, Inc.
    20. Ulrich Schmidt, 2016. "Insurance Demand Under Prospect Theory: A Graphical Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(1), pages 77-89, January.
    21. Dora L. Costa & Matthew E. Kahn, 2013. "Energy Conservation “Nudges” And Environmentalist Ideology: Evidence From A Randomized Residential Electricity Field Experiment," Journal of the European Economic Association, European Economic Association, vol. 11(3), pages 680-702, June.
    22. Tonn, Bruce & Berry, Linda, 1986. "Determinants of participation in home energy audit/loan programs: Discrete choice model results," Energy, Elsevier, vol. 11(8), pages 785-795.
    23. Hunt Allcott & Michael Greenstone, 2012. "Is There an Energy Efficiency Gap?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 3-28, Winter.
    24. Jose Apesteguia & Miguel A. Ballester, 2015. "A Measure of Rationality and Welfare," Journal of Political Economy, University of Chicago Press, vol. 123(6), pages 1278-1310.
    25. Emmanuel Farhi & Xavier Gabaix, 2020. "Optimal Taxation with Behavioral Agents," American Economic Review, American Economic Association, vol. 110(1), pages 298-336, January.
    26. Stephan Meier & Charles Sprenger, 2010. "Present-Biased Preferences and Credit Card Borrowing," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 193-210, January.
    27. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, E. Elisabet, 2010. "Preference heterogeneity in experiments: Comparing the field and laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 73(2), pages 209-224, February.
    28. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    29. Brigitte C. Madrian, 2014. "Applying Insights from Behavioral Economics to Policy Design," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 663-688, August.
    30. Ravi Kanbur & Jukka Pirttilä & Matti Tuomala, 2008. "Moral Hazard, Income Taxation and Prospect Theory," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(2), pages 321-337, June.
    31. William Harbaugh & Kate Krause & Lise Vesterlund, 2002. "Risk Attitudes of Children and Adults: Choices Over Small and Large Probability Gains and Losses," Experimental Economics, Springer;Economic Science Association, vol. 5(1), pages 53-84, June.
    32. Mills, Evan & Kromer, Steve & Weiss, Gary & Mathew, Paul A., 2006. "From volatility to value: analysing and managing financial and performance risk in energy savings projects," Energy Policy, Elsevier, vol. 34(2), pages 188-199, January.
    33. Winter, Laraine & Parker, Barbara, 2007. "Current health and preferences for life-prolonging treatments: An application of prospect theory to end-of-life decision making," Social Science & Medicine, Elsevier, vol. 65(8), pages 1695-1707, October.
    34. Azevedo, Eduardo M. & Gottlieb, Daniel, 2012. "Risk-neutral firms can extract unbounded profits from consumers with prospect theory preferences," Journal of Economic Theory, Elsevier, vol. 147(3), pages 1291-1299.
    35. 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.
    36. Romano, Joseph P. & Shaikh, Azeem M. & Wolf, Michael, 2008. "Formalized Data Snooping Based On Generalized Error Rates," Econometric Theory, Cambridge University Press, vol. 24(2), pages 404-447, April.
    37. Charles Courtemanche & Garth Heutel & Patrick McAlvanah, 2015. "Impatience, Incentives and Obesity," Economic Journal, Royal Economic Society, vol. 125(582), pages 1-31, February.
    38. Hunt Allcott & Todd Rogers, 2012. "The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation," NBER Working Papers 18492, National Bureau of Economic Research, Inc.
    39. James Cox & Vjollca Sadiraj & Ulrich Schmidt, 2015. "Paradoxes and mechanisms for choice under risk," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 215-250, June.
    40. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    41. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    42. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    43. Allcott, Hunt & Mullainathan, Sendhil & Taubinsky, Dmitry, 2014. "Energy policy with externalities and internalities," Journal of Public Economics, Elsevier, vol. 112(C), pages 72-88.
    44. Gallagher, Kelly Sims & Muehlegger, Erich, 2011. "Giving green to get green? Incentives and consumer adoption of hybrid vehicle technology," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 1-15, January.
    45. Stefano DellaVigna & Attila Lindner & Balázs Reizer & Johannes F. Schmieder, 2017. "Reference-Dependent Job Search: Evidence from Hungary," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1969-2018.
    46. Rieger, Marc Oliver & Wang, Mei & Hens, Thorsten, 2011. "Prospect Theory around the World," Discussion Papers 2011/19, Norwegian School of Economics, Department of Business and Management Science.
    47. Jackson, Jerry, 2010. "Promoting energy efficiency investments with risk management decision tools," Energy Policy, Elsevier, vol. 38(8), pages 3865-3873, August.
    48. Esther Duflo & Michael Kremer & Jonathan Robinson, 2011. "Nudging Farmers to Use Fertilizer: Theory and Experimental Evidence from Kenya," American Economic Review, American Economic Association, vol. 101(6), pages 2350-2390, October.
    49. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    50. Cubitt, Robin P. & Sugden, Robert, 2001. "On Money Pumps," Games and Economic Behavior, Elsevier, vol. 37(1), pages 121-160, October.
    51. Guilhem Lecouteux, 2015. "PHD THESIS SUMMARY: Reconciling normative and behavioural economics," Post-Print halshs-01427084, HAL.
    52. Glenn Harrison & J. Swarthout, 2014. "Experimental payment protocols and the Bipolar Behaviorist," Theory and Decision, Springer, vol. 77(3), pages 423-438, October.
    53. John A. List, 2004. "Neoclassical Theory Versus Prospect Theory: Evidence from the Marketplace," Econometrica, Econometric Society, vol. 72(2), pages 615-625, March.
    54. Tsvetanov, Tsvetan & Segerson, Kathleen, 2013. "Re-evaluating the role of energy efficiency standards: A behavioral economics approach," Journal of Environmental Economics and Management, Elsevier, vol. 66(2), pages 347-363.
    55. B. Douglas Bernheim, 2009. "Behavioral Welfare Economics," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 267-319, 04-05.
    56. Darby, Sarah, 2006. "Social learning and public policy: Lessons from an energy-conscious village," Energy Policy, Elsevier, vol. 34(17), pages 2929-2940, November.
    57. David Bradford & Charles Courtemanche & Garth Heutel & Patrick McAlvanah & Christopher Ruhm, 2017. "Time preferences and consumer behavior," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 119-145, December.
    58. Kenneth Gillingham & Richard G. Newell & Karen Palmer, 2009. "Energy Efficiency Economics and Policy," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 597-620, September.
    59. Knetsch, Jack L., 1990. "Environmental policy implications of disparities between willingness to pay and compensation demanded measures of values," Journal of Environmental Economics and Management, Elsevier, vol. 18(3), pages 227-237, May.
    60. Callen, Mike & Isaqzadeh, Mohammad & Long, James D. & Sprenger, Charles, 2014. "Violence and risk preference: experimental evidence from Afghanistan," LSE Research Online Documents on Economics 102932, London School of Economics and Political Science, LSE Library.
    61. Starmer, Chris & Sugden, Robert, 1991. "Does the Random-Lottery Incentive System Elicit True Preferences? An Experimental Investigation," American Economic Review, American Economic Association, vol. 81(4), pages 971-978, September.
    62. B. Douglas Bernheim & Antonio Rangel, 2009. "Beyond Revealed Preference: Choice-Theoretic Foundations for Behavioral Welfare Economics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 51-104.
    63. Matthew Rabin & Richard H. Thaler, 2013. "Anomalies: Risk aversion," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 27, pages 467-480, World Scientific Publishing Co. Pte. Ltd..
    64. Ben McQuillin & Robert Sugden, 2012. "Reconciling normative and behavioural economics: the problems to be solved," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 38(4), pages 553-567, April.
    65. VINAYAK Bhattacharjee & CHARLES J. Cicchetti & WILLIAM F. Rankin, 1993. "Energy Utilities, Conservation, And Economic Efficiency," Contemporary Economic Policy, Western Economic Association International, vol. 11(1), pages 69-75, January.
    66. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    67. Michael Callen & Mohammad Isaqzadeh & James D. Long & Charles Sprenger, 2014. "Violence and Risk Preference: Experimental Evidence from Afghanistan," American Economic Review, American Economic Association, vol. 104(1), pages 123-148, January.
    68. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    69. Charpentier, Caroline J. & Neve, Jan-Emmanuel De & Roiser, Jonathan P. & Sharot, Tali, 2016. "Models of affective decision-making: how do feelings predict choice?," LSE Research Online Documents on Economics 66420, London School of Economics and Political Science, LSE Library.
    70. John A. List, 2003. "Does Market Experience Eliminate Market Anomalies?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 41-71.
    71. Greene, David L., 2011. "Uncertainty, loss aversion, and markets for energy efficiency," Energy Economics, Elsevier, vol. 33(4), pages 608-616, July.
    72. Noah J. Goldstein & Robert B. Cialdini & Vladas Griskevicius, 2008. "A Room with a Viewpoint: Using Social Norms to Motivate Environmental Conservation in Hotels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(3), pages 472-482, March.
    73. 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.
    74. Heutel, Garth, 2015. "Optimal policy instruments for externality-producing durable goods under present bias," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 54-70.
    75. Laquatra, Joseph & Chi, Peter S.K., 1989. "Determinants of homeowner's response to energy conservation in non-metropolitan areas," Energy, Elsevier, vol. 14(7), pages 397-408.
    76. Arik Levinson, 2016. "How Much Energy Do Building Energy Codes Save? Evidence from California Houses," American Economic Review, American Economic Association, vol. 106(10), pages 2867-2894, October.
    77. Peter C. Mayer, 1995. "Electricity Conservation: Consumer Rationality Versus Prospect Theory," Contemporary Economic Policy, Western Economic Association International, vol. 13(2), pages 109-118, April.
    78. Robin Cubitt & Chris Starmer & Robert Sugden, 1998. "On the Validity of the Random Lottery Incentive System," Experimental Economics, Springer;Economic Science Association, vol. 1(2), pages 115-131, September.
    79. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    80. Diamond, David, 2009. "The impact of government incentives for hybrid-electric vehicles: Evidence from US states," Energy Policy, Elsevier, vol. 37(3), pages 972-983, March.
    81. Kenneth Gillingham, Matthew Harding, and David Rapson, 2012. "Split Incentives in Residential Energy Consumption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    82. Justin Sydnor, 2010. "(Over)insuring Modest Risks," American Economic Journal: Applied Economics, American Economic Association, vol. 2(4), pages 177-199, October.
    83. Dhami, Sanjit & Al-Nowaihi, Ali, 2010. "Optimal taxation in the presence of tax evasion: Expected utility versus prospect theory," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 313-337, August.
    84. Holt, Charles A, 1986. "Preference Reversals and the Independence Axiom," American Economic Review, American Economic Association, vol. 76(3), pages 508-515, June.
    85. Richard H. Thaler, 2016. "Behavioral Economics: Past, Present, and Future," American Economic Review, American Economic Association, vol. 106(7), pages 1577-1600, July.
    86. Bernheim, B. Douglas, 2016. "The Good, the Bad, and the Ugly: A Unified Approach to Behavioral Welfare Economics1," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 7(1), pages 12-68, April.
    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. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    2. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    3. Aurélien Baillon & Han Bleichrodt & Vitalie Spinu, 2020. "Searching for the Reference Point," Management Science, INFORMS, vol. 66(1), pages 93-112, January.
    4. Häckel, Björn & Pfosser, Stefan & Tränkler, Timm, 2017. "Explaining the energy efficiency gap - Expected Utility Theory versus Cumulative Prospect Theory," Energy Policy, Elsevier, vol. 111(C), pages 414-426.
    5. Raj Chetty, 2015. "Behavioral Economics and Public Policy: A Pragmatic Perspective," American Economic Review, American Economic Association, vol. 105(5), pages 1-33, May.
    6. Maren Baars & Michael Goedde‐Menke, 2022. "Ignorance illusion in decisions under risk: The impact of perceived expertise on probability weighting," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(1), pages 35-62, March.
    7. B. Douglas Bernheim & Charles Sprenger, 2020. "On the Empirical Validity of Cumulative Prospect Theory: Experimental Evidence of Rank‐Independent Probability Weighting," Econometrica, Econometric Society, vol. 88(4), pages 1363-1409, July.
    8. Ramos, A. & Gago, A. & Labandeira, X. & Linares, P., 2015. "The role of information for energy efficiency in the residential sector," Energy Economics, Elsevier, vol. 52(S1), pages 17-29.
    9. David Bradford & Charles Courtemanche & Garth Heutel & Patrick McAlvanah & Christopher Ruhm, 2017. "Time preferences and consumer behavior," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 119-145, December.
    10. Committee, Nobel Prize, 2017. "Richard H. Thaler: Integrating Economics with Psychology," Nobel Prize in Economics documents 2017-1, Nobel Prize Committee.
    11. Glenn W. Harrison & J. Todd Swarthout, 2016. "Cumulative Prospect Theory in the Laboratory: A Reconsideration," Experimental Economics Center Working Paper Series 2016-04, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    12. Thomas Sproul & Clayton P. Michaud, 2017. "Heterogeneity in loss aversion: evidence from field elicitations," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 77(1), pages 196-216, May.
    13. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Consumer Choice," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 803-843.
    14. Simon Gächter & Eric J. Johnson & Andreas Herrmann, 2022. "Individual-level loss aversion in riskless and risky choices," Theory and Decision, Springer, vol. 92(3), pages 599-624, April.
    15. Belianin, A., 2017. "Face to Face to Human Being: Achievements and Challenges of Behavioral Economics," Journal of the New Economic Association, New Economic Association, vol. 34(2), pages 166-175.
    16. Doidge, Mary & Feng, Hongli & Hennessy, David A., 2018. "Farmers’ valuation of changes to crop insurance coverage level – a test of third generation prospect theory," 2018 Annual Meeting, August 5-7, Washington, D.C. 274478, Agricultural and Applied Economics Association.
    17. Lampe, Immanuel & Würtenberger, Daniel, 2020. "Loss aversion and the demand for index insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 678-693.
    18. Fischbacher, Urs & Schudy, Simeon & Teyssier, Sabrina, 2021. "Heterogeneous preferences and investments in energy saving measures," Resource and Energy Economics, Elsevier, vol. 63(C).
    19. Schleich, Joachim & Gassmann, Xavier & Meissner, Thomas & Faure, Corinne, 2019. "A large-scale test of the effects of time discounting, risk aversion, loss aversion, and present bias on household adoption of energy-efficient technologies," Energy Economics, Elsevier, vol. 80(C), pages 377-393.
    20. Immanuel Lampe & Daniel Würtenberger, 2019. "Loss Aversion And The Demand For Index Insurance," Working Papers on Finance 1907, University of St. Gallen, School of Finance.

    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:23692. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.