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Estimating discount factors for public and private goods and testing competing discounting hypotheses

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  • Andrew Meyer

Abstract

The observation of declining discount rates in experimental settings has led many to promote hyperbolic discounting over standard exponential discounting as the preferred descriptive model of intertemporal choice. I develop a new framework, consistent with the random utility model, which directly models the intertemporal utility function and produces explicit maximum likelihood estimates of discounting parameters. I apply this estimation method to a stated-preference survey of river basin cleanup options and revealed-preference lottery payment choices. Formal statistical tests fail to find evidence in support of hyperbolic or quasi-hyperbolic discounting. Annual discount rates range from ten to fourteen percent across the data sets and empirical specifications. Copyright Springer Science+Business Media New York 2013

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  • Andrew Meyer, 2013. "Estimating discount factors for public and private goods and testing competing discounting hypotheses," Journal of Risk and Uncertainty, Springer, vol. 46(2), pages 133-173, April.
  • Handle: RePEc:kap:jrisku:v:46:y:2013:i:2:p:133-173
    DOI: 10.1007/s11166-013-9163-y
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    Cited by:

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    2. West, Grant H. & Snell, Heather & Kovacs, Kent & Nayga, Rodolfo M., 2020. "Estimation of the preferences for the intertemporal services from groundwater," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304220, Agricultural and Applied Economics Association.
    3. Lew, Daniel K., 2018. "Discounting future payments in stated preference choice experiments," Resource and Energy Economics, Elsevier, vol. 54(C), pages 150-164.
    4. Green, Gareth P. & Richards, Timothy J., 2018. "Discounting Environmental Goods," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(2), May.
    5. Howard, Gregory & Whitehead, John C. & Hochard, Jacob, 2021. "Estimating discount rates using referendum-style choice experiments: An analysis of multiple methodologies," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    6. Meyer, Andrew G., 2015. "The impacts of elicitation mechanism and reward size on estimated rates of time preference," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 58(C), pages 132-148.
    7. Michela Faccioli & Nick Hanley & Catalina M. Torres Figuerola & Antoni Riera Font, 2015. "Do we care about sustainability? An analysis of time sensitivity of social preferences under environmental time-persistent effects," Discussion Papers in Environment and Development Economics 2015-17, University of St. Andrews, School of Geography and Sustainable Development.
    8. Alina Ferecatu & Ayse Önçüler, 2016. "Heterogeneous risk and time preferences," Journal of Risk and Uncertainty, Springer, vol. 53(1), pages 1-28, August.
    9. McDonald, R.L. & Chilton, S.M. & Jones-Lee, M.W. & Metcalf, H.R.T., 2017. "Evidence of variable discount rates and non-standard discounting in mortality risk valuation," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 152-167.
    10. Fullard, Joshua, 2021. "Relative wages and pupil performance, evidence from TIMSS," ISER Working Paper Series 2021-07, Institute for Social and Economic Research.
    11. Lucy F. Ackert & Richard Deaves & Jennifer Miele & Quang Nguyen, 2020. "Are Time Preference and Risk Preference Associated with Cognitive Intelligence and Emotional Intelligence?," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(2), pages 136-156, April.
    12. David Scrogin, 2023. "Estimating risk and time preferences over public lotteries: Findings from the field and stream," Journal of Risk and Uncertainty, Springer, vol. 67(1), pages 73-106, August.
    13. Vásquez-Lavín, Felipe & Carrasco, Moisés & Barrientos, Manuel & Gelcich, Stefan & Ponce Oliva, Roberto D., 2021. "Estimating discount rates for environmental goods: Are People’s responses inadequate to frequency of payments?," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    14. Emmanouil Mentzakis & Jana Sadeh, 2021. "Experimental evidence on the effect of incentives and domain in risk aversion and discounting tasks," Journal of Risk and Uncertainty, Springer, vol. 62(3), pages 203-224, June.
    15. James P. Cover & Boyi Zhuang, 2021. "Life with habit and expectation: A new explanation of equity premium puzzle," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 50(1), February.
    16. Gregory Howard & John C. Whitehead & Jacob Hochard, 2020. "Estimating Discount Rates Using Referendum-style Choice Experiments: An Analysis of Multiple Methods," Working Papers 20-01, Department of Economics, Appalachian State University.

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    More about this item

    Keywords

    Discounting; Hyperbolic; Random utility; Intertemporal choice; D90; Q25; Q53; H43;
    All these keywords.

    JEL classification:

    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate

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