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Valuation in the Lab

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  • Jason Shogren

Abstract

Experimental methods have proven useful to explore the power and limits to nonmarket valuation through stated preference methods. We now understand better how people learn about and react to the incentives, institutions, and information created by surveys. This paper briefly reviews topics in experimental valuation, including ex ante bias corrections, ex post bias calibration, and examining the circumstances that strengthen or weaken the economist’s presumption of rational valuation. Copyright Springer 2006

Suggested Citation

  • Jason Shogren, 2006. "Valuation in the Lab," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 163-172, May.
  • Handle: RePEc:kap:enreec:v:34:y:2006:i:1:p:163-172
    DOI: 10.1007/s10640-005-3785-8
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    Cited by:

    1. Jay R. Corrigan & Andreas C. Drichoutis & Jayson L. Lusk & Rodolfo M. Nayga & Matthew C. Rousu, 2012. "Repeated Rounds with Price Feedback in Experimental Auction Valuation: An Adversarial Collaboration," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 97-115.
    2. Andreas Drichoutis & Rodolfo Nayga & Panagiotis Lazaridis & Beom Park, 2011. "A Consistent Econometric Test for Bid Interdependence in Repeated Second-Price Auctions with Posted Prices," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 39(4), pages 329-341, December.
    3. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    4. Frank van Tongeren & John Beghin & Stéphane Marette, 2009. "A Cost-Benefit Framework for the Assessment of Non-Tariff Measures in Agro-Food Trade," OECD Food, Agriculture and Fisheries Papers 21, OECD Publishing.
    5. Marette, Stéphan & Roosen, Jutta & Blanchemanche, Sandrine, 2008. "Health information and substitution between fish: Lessons from laboratory and field experiments," Food Policy, Elsevier, vol. 33(3), pages 197-208, June.
    6. Maurizio Canavari & Andreas C. Drichoutis & Jayson L. Lusk & Rodolfo M. Nayga, Jr., 2018. "How to run an experimental auction: A review of recent advances," Working Papers 2018-5, Agricultural University of Athens, Department Of Agricultural Economics.
    7. Hoyos Ramos, David, 2010. "Using discrete choice experiments for environmental valuation," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    8. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    9. Lawless, Lydia J.R. & Drichoutis, Andreas & Nayga, Rodolfo & Threlfall, Renee T. & Meullenet, Jean-François, 2012. "Identifying product attributes and consumer attitudes that impact willingness-to-pay for a nutraceutical-rich juice product," MPRA Paper 53023, University Library of Munich, Germany, revised 18 Jan 2014.
    10. B. Douglas Bernheim & Daniel Bjorkegren & Jeffrey Naecker & Antonio Rangel, 2013. "Non-Choice Evaluations Predict Behavioral Responses to Changes in Economic Conditions," NBER Working Papers 19269, National Bureau of Economic Research, Inc.
    11. Alec Smith & B. Douglas Bernheim & Colin F. Camerer & Antonio Rangel, 2014. "Neural Activity Reveals Preferences without Choices," American Economic Journal: Microeconomics, American Economic Association, vol. 6(2), pages 1-36, May.
    12. Tran Tuan & Stale Navrud, 2007. "Valuing cultural heritage in developing countries: comparing and pooling contingent valuation and choice modelling estimates," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(1), pages 51-69, September.
    13. Tiziana de-Magistris & Azucena Gracia, 2016. "Assessing Projection Bias in Consumers’ Food Preferences," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-11, February.
    14. Loureiro, Maria L. & Gracia, Azucena & Nayga, Rodolfo M., 2013. "Do experimental auction estimates pass the scope test?," Journal of Economic Psychology, Elsevier, vol. 37(C), pages 7-17.
    15. Jeffrey Naecker, 2015. "The Lives of Others: Predicting Donations with Non-Choice Responses," Discussion Papers 15-021, Stanford Institute for Economic Policy Research.
    16. Gulati, Kajal & Ward, Patrick & Lybbert, Travis & Spielman, David, 2016. "Intrahousehold valuation, preference heterogeneity, and demand of an agricultural technology in Bihar, India," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236280, Agricultural and Applied Economics Association.
    17. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    18. Fabio Tufano, 2010. "Are ‘true’ preferences revealed in repeated markets? An experimental demonstration of context-dependent valuations," Experimental Economics, Springer;Economic Science Association, vol. 13(1), pages 1-13, March.

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