The value of reputation on eBay: A controlled experiment
Open accessAbstract
We conducted the first randomized controlled field experiment of an Internet reputation mechanism. A high-reputation, established eBay dealer sold matched pairs of lots— batches of vintage postcards—under his regular identity and under new seller identities (also operated by him). As predicted, the established identity fared better. The difference in buyers’ willingness-to-pay was 8.1% of the selling price. A subsidiary experiment followed the same format, but compared sales by relatively new sellers with and without negative feedback. Surprisingly, one or two negative feedbacks for our new sellers did not affect buyers’ willingness-to-pay.
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New complementors find it difficult to collect good ratings and often compete with more established complementors who have already built a track record.
“Further, prior research suggests that it is difficult for new complementors who have just joined a new platform to collect good ratings. These new complementors often find themselves competing with more established complementors who have already built a track record (Gutt and Herrmann 2015; Resnick et al. 2006).”
From In Stars We Trust – A Note on Reputation Portability Between Digital Platforms (2022) · cites this paper as Resnick et al. 2006
The Abstract and Discussion compare newcomer eBay seller IDs with an established ID and report that the established ID earned higher prices. But the paper does not establish that newcomers have difficulty collecting good ratings: the Procedures section says the new IDs accumulated positive feedback during the experiment. It studies eBay sellers, not complementors on new platforms generally. (LLM, conf=0.86)
Experimental — accuracy not yet measuredResnick et al. (2006) estimate an 8% price premium to having 2,000 positive and 1 negative feedback over a reputation of 10 positive and no negative feedbacks.
“They estimate an 8% price premium to having 2,000 positive and 1 negative feedback over a reputation of 10 positive and no negative feedbacks.”
From Reputation and Feedback Systems in Online Platform Markets (2016) · cites this paper as Resnick et al. (2006)
The Discussion reports a 7.6% price difference between an established seller with more than 2,000 positive comments and one negative comment and new seller IDs. But the Procedures say the new IDs began with zero feedback and accumulated positives during the experiment; they did not all have a fixed reputation of 10 positives. The roughly 8% premium is supported, but the stated comparator is too specific. (LLM, conf=0.88)
Experimental — accuracy not yet measuredEconomists are puzzled that evaluative infrastructures sustain markets despite factual inaccuracies, misleading claims, and unrepresentative assessments.
“This is highlighted by the puzzlement of economists that find evaluative infrastructures to be capable of sustaining markets despite being plagued by factual inaccuracies, misleading claims, and unrepresentative assessments (Tadelis, 2016;Resnick, et al., 2006).”
From Evaluative infrastructures: Accounting for platform organization (2017) · cites this paper as Resnick, et al., 2006
The Conclusion (page unavailable) calls eBay feedback a system that works despite apparent weaknesses: only half of buyers leave feedback, raising concern about selection bias, yet large numbers of items sell. This supports the puzzlement about markets functioning with potentially unrepresentative assessments. The paper does not establish that the feedback system is plagued by factual inaccuracies or misleading claims; its Additional information section instead suggests that serious seller misrepresentation is uncommon. (LLM, conf=0.87)
Experimental — accuracy not yet measured
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Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810 · see citing works
The Market for "Lemons": Quality Uncertainty and the Market Mechanism
Akerlof, G. A. (1970) · The Quarterly Journal of Economics · doi:10.2307/1879431 · Cited by 23,016 · see citing works
Premiums for High Quality Products as Returns to Reputations
Shapiro, C. (1983) · The Quarterly Journal of Economics · doi:10.2307/1881782 · Cited by 2,327 · see citing works
Harrison, G. W., & List, J. A. (2004) · Journal of Economic Literature · doi:10.1257/0022051043004577 · Cited by 2,282 · see citing works
Ba, S., & Pavlou, P. A. (2002) · Cited by 2,256 · see citing works
Trust among strangers in internet transactions: Empirical analysis of eBay' s reputation system
Resnick, P., & Zeckhauser, R. (2004) · Advances in applied microeconomics · doi:10.1016/s0278-0984(02)11030-3 · Cited by 1,809 · see citing works
Self-citationReputation Acquisition in Debt Markets
Diamond, D. W. (1989) · Journal of Political Economy · doi:10.1086/261630 · Cited by 1,627 · see citing works
The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions
Bajari, P., Hortaçsu, A., & Hortacsu, A. (2003) · The RAND Journal of Economics · doi:10.2307/1593721 · Cited by 1,041 · see citing works
Reputation in Auctions: Theory, and Evidence from e Bay
Houser, D. E., & Wooders, J. (2006) · Journal of Economics & Management Strategy · doi:10.1111/j.1530-9134.2006.00103.x · Cited by 698 · see citing works
How Effective Are Electronic Reputation Mechanisms? An Experimental Investigation
Bolton, G. E., Katok, E., & Ockenfels, A. (2004) · Management Science · doi:10.1287/mnsc.1030.0199 · Cited by 667 · see citing works
List, J. A., & Lucking‐Reiley, D. (2002) · Journal of Political Economy · doi:10.1086/324392 · Cited by 560 · see citing works
PENNIES FROM EBAY: THE DETERMINANTS OF PRICE IN ONLINE AUCTIONS*
Lucking‐Reiley, D., Bryan, D., Prasad, N., & Reeves, D. M. (2007) · Journal of Industrial Economics · doi:10.1111/j.1467-6451.2007.00309.x · Cited by 550 · see citing works
Does a Seller's eCommerce Reputation Matter? Evidence from eBay Auctions
Alm, J. R., & Melnik, M. I. (2002) · Issue Lab (Candid) · Cited by 544 · see citing works
The Social Cost of Cheap Pseudonyms
Friedman, E. J., & Resnick, P. (2001) · Journal of Economics & Management Strategy · doi:10.1111/j.1430-9134.2001.00173.x · Cited by 538 · see citing works
Self-citationLearning in High Stakes Ultimatum Games: An Experiment in the Slovak Republic
Slonim, R., & Roth, A. E. (1998) · Econometrica · doi:10.2307/2998575 · Cited by 512 · see citing works
Eliciting Informative Feedback: The Peer-Prediction Method
Miller, N., Resnick, P., & Zeckhauser, R. (2005) · Management Science · doi:10.1287/mnsc.1050.0379 · Cited by 500 · see citing works
Self-citationEconomic Insights from Internet Auctions
Bajari, P., & Hortaçsu, A. (2004) · Journal of Economic Literature · doi:10.1257/0022051041409075 · Cited by 483 · see citing works
Using Field Experiments to Test Equivalence Between Auction Formats: Magic on the Internet
Lucking-Reiley, D. (1999) · American Economic Review · doi:10.1257/aer.89.5.1063 · Cited by 446 · see citing works
...Plus Shipping and Handling: Revenue (Non) Equivalence in Field Experiments on eBay
Hossain, T., & Morgan, J. S. (2006) · The B E Journal of Economic Analysis & Policy · doi:10.2202/1538-0637.1429 · Cited by 397 · see citing works
Winner's Curse, Reserve Prices and Endogenous Entry: Empirical Insights from Ebay AuctionsPreprint
Bajari, P., & Hortaçsu, A. (2000) · SSRN Electronic Journal · doi:10.2139/ssrn.224950 · Cited by 388 · see citing works
The Social Cost of Cheap Pseudonyms
Friedman, E. J., & Resnick, P. (2001) · Journal of Economics & Management Strategy · doi:10.1162/105864001300122476 · Cited by 387 · see citing works
Self-citationBa, S., & Pavlou, P. A. (2002) · MIS Quarterly · doi:10.2307/4132332 · Cited by 312 · see citing works
REPUTATION IN AN INTERNET AUCTION MARKET
McDonald, C. G., & Slawson, V. C. (2002) · Economic Inquiry · doi:10.1093/ei/40.4.633 · Cited by 277 · see citing works
Avery, C. N., Resnick, P., & Zeckhauser, R. (1999) · American Economic Review · doi:10.1257/aer.89.3.564 · Cited by 268 · see citing works
Self-citationADVERSE SELECTION IN ELECTRONIC MARKETS: EVIDENCE FROM ONLINE STAMP AUCTIONS
Dewan, S., & Hsu, V. N. (2004) · Journal of Industrial Economics · doi:10.1111/j.0022-1821.2004.00237.x · Cited by 234 · see citing works
Cooperation, Reciprocity and Punishment in Fifteen Small-scale SocietiesPreprint
Henrich, J., Boyd, R. T., Bowles, S., Camerer, C. F., Fehr, E., Gintis, H. M., & McElreath, R. L. (2001) · RePEc: Research Papers in Economics · Cited by 183 · see citing works
Dewally, M., & Ederington, L. H. (2006) · The Journal of Business · doi:10.1086/499169 · Cited by 183 · see citing works
Demand Reduction in Multiunit Auctions: Evidence from a Sportscard Field Experiment
List, J. A., & Lucking-Reiley, D. (2000) · American Economic Review · doi:10.1257/aer.90.4.961 · Cited by 171 · see citing works
The Dynamics of Seller Reputation: Theory and Evidence from eBay
Cabral, L., & Hortacsu, A. (2004) · doi:10.3386/w10363 · Cited by 149 · see citing works
Can Asset Markets Be Manipulated? A Field Experiment With Racetrack Betting
Camerer, C. F. (1998) · Journal of Political Economy · doi:10.1086/250018 · Cited by 141 · see citing works
Experimental games for the design of reputation management systems
Keser, C. (2003) · IBM Systems Journal · doi:10.1147/sj.423.0498 · Cited by 135 · see citing works
Does a Seller’s eCommerce Reputation Matter? Evidence from eBay Auctions
Melnik, M. I., & Alm, J. R. (2002) · Journal of Industrial Economics · doi:10.1111/1467-6451.00180 · Cited by 129 · see citing works
Field experiments on the effects of reserve prices in auctions: more Magic on the Internet
Reiley, D. (2006) · The RAND Journal of Economics · doi:10.1111/j.1756-2171.2006.tb00012.x · Cited by 97 · see citing works
Public versus Secret Reserve Prices in eBay Auctions: Results from a Pokémon Field Experiment
Katkar, R., & Reiley, D. (2007) · The B E Journal of Economic Analysis & Policy · doi:10.2202/1538-0637.1442 · Cited by 96 · see citing works
The effect of negative buyer feedback on prices in Internet auction markets
Lee, Z., Im, I., & Lee, S. J. (2000) · Journal of the Association for Information Systems · doi:10.5555/359640.359753 · Cited by 59 · see citing works
Bayes Factors with an Application to Experimental Economics
Bolton, G. E., Mosquin, P. L., & Fong, D. Κ. H. (2003) · Experimental Economics · doi:10.1023/a:1026281504189 · Cited by 10 · see citing works
Reputation, Information Signals, and Willingness to Pay for Heterogeneous Goods in Online AuctionsPreprint
Melnik, M. I., & Alm, J. R. (2003) · SSRN Electronic Journal · doi:10.2139/ssrn.452820 · Cited by 10 · see citing works
Reputation in an Internet Auction Market
McDonald, C. G., & Slawson, J. V. C. (2000) · doi:10.2139/ssrn.207448
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Pang, B., & Lee, L. (2008) · now publishers, Inc. eBooks · doi:10.1561/9781601981516 · Cited by 6,957 · see citing works
The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms
Dellarocas, C. N. (2003) · Management Science · doi:10.1287/mnsc.49.10.1407.17308 · Cited by 3,437 · see citing works
A survey of trust and reputation systems for online service provision
Jøsang, A., Ismail, R., & Boyd, C. (2007) · Decision Support Systems · doi:10.1016/j.dss.2005.05.019 · Cited by 3,330 · see citing works
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Zeckhauser, R. J. (2016) · Cited by 1,454 · see citing works
Self-citationLin, M., Prabhala, N. R., & Viswanathan, S. (2012) · Management Science · doi:10.1287/mnsc.1120.1560 · Cited by 1,272 · see citing works
Rand, D. G., & Nowak, M. A. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.06.003 · Cited by 1,308 · see citing works
The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions
Bajari, P., Hortaçsu, A., & Hortacsu, A. (2003) · The RAND Journal of Economics · doi:10.2307/1593721 · Cited by 1,041 · see citing works
Pavlou, P. A., & Dimoka, A. (2006) · Information Systems Research · doi:10.1287/isre.1060.0106 · Cited by 930 · see citing works
Park, D.-H., & Kim, S. (2008) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2007.12.001 · Cited by 848 · see citing works
Promotional Reviews: An Empirical Investigation of Online Review Manipulation
Mayzlin, D., Dover, Y., & Chevalier, J. (2014) · American Economic Review · doi:10.1257/aer.104.8.2421 · Cited by 937 · see citing works
A survey of attack and defense techniques for reputation systems
Hoffman, K. J., Zage, D., & Nita-Rotaru, C. (2009) · ACM Computing Surveys · doi:10.1145/1592451.1592452 · Cited by 774 · see citing works
How Effective Are Electronic Reputation Mechanisms? An Experimental Investigation
Bolton, G. E., Katok, E., & Ockenfels, A. (2004) · Management Science · doi:10.1287/mnsc.1030.0199 · Cited by 667 · see citing works
Reputation and Feedback Systems in Online Platform Markets
Tadelis, S. (2016) · Annual Review of Economics · doi:10.1146/annurev-economics-080315-015325 · Cited by 524 · see citing works
THE DYNAMICS OF SELLER REPUTATION: EVIDENCE FROM EBAY<sup>*</sup>
CABRAL, L., & HORTAÇSU, A. (2010) · The Journal of Industrial Economics · doi:10.1111/j.1467-6451.2010.00405.x · Cited by 505 · see citing works
Amblee, N. C., & Bui, T. (2011) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415160205 · Cited by 495 · see citing works
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Walther, J. B., Heide, B. L. V. D., Hamel, L. M., & Shulman, H. C. (2009) · Communication Research · doi:10.1177/0093650208330251 · Cited by 465 · see citing works
Anderson, M., & Magruder, J. (2012) · The Economic Journal · doi:10.1111/j.1468-0297.2012.02512.x · Cited by 441 · see citing works
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Kornberger, M., Pflueger, D., & Mouritsen, J. (2017) · Accounting Organizations and Society · doi:10.1016/j.aos.2017.05.002 · Cited by 349 · see citing works
Xia, C., Wang, J., Perc, M., & Wang, Z. (2023) · Physics of Life Reviews · doi:10.1016/j.plrev.2023.05.002 · Cited by 344 · see citing works
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Ghose, A. (2009) · MIS Quarterly · doi:10.2307/20650292 · Cited by 210 · see citing works
Antheunis, M. L., Valkenburg, P. M., & Peter, J. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.07.005 · Cited by 250 · see citing works
Picazo-Vela, S., Chou, S. Y., Melcher, A. J., & Pearson, J. M. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.01.005 · Cited by 199 · see citing works
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Yan, S. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.10.013 · Cited by 171 · see citing works
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Ayres, I., Banaji, M. R., & Jolls, C. (2015) · The RAND Journal of Economics · doi:10.1111/1756-2171.12115 · Cited by 119 · see citing works
Encouraging user behaviour with achievements: An empirical study
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Using Internet Data for Economic Research
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Trust fraud: A crucial challenge for China’s e-commerce market
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CHEN, Y., Ho, T., & Kim, Y. (2010) · Journal of Public Economic Theory · doi:10.1111/j.1467-9779.2010.01468.x · Cited by 112 · see citing works
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Samek, A. S., & Sheremeta, R. M. (2014) · Experimental Economics · doi:10.1007/s10683-013-9389-1 · Cited by 111 · see citing works
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Fan, Y., Ju, J., & Xiao, M. (2016) · International Journal of Industrial Organization · doi:10.1016/j.ijindorg.2016.01.004 · Cited by 111 · see citing works
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Corten, R., Belk, R., Eckhardt, G., Bardhi, F., Buskens, L., & Social Networks, S. A. I. (2019) · Edward Elgar Publishing eBooks · doi:10.4337/9781788110549 · Cited by 111 · see citing works
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Zhang, J. (2006) · Decision Support Systems · doi:10.1016/j.dss.2006.03.008 · Cited by 110 · see citing works
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Baye, M. R., Morgan, J. W., & Scholten, P. A. (2003) · Journal of Public Policy & Marketing · doi:10.1509/jppm.22.1.17.17625 · Cited by 107 · see citing works
Lin, M., Liu, Y., & Viswanathan, S. (2016) · Management Science · doi:10.1287/mnsc.2016.2594 · Cited by 106 · see citing works
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Melnik, M. I., & Alm, J. R. (2005) · Southern Economic Journal · doi:10.1002/j.2325-8012.2005.tb00704.x · Cited by 105 · see citing works
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Rao, S., Lee, K. B., Connelly, B. L., & Iyengar, D. (2017) · Decision Sciences · doi:10.1111/deci.12275 · Cited by 104 · see citing works
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Hergueux, J., & Jacquemet, N. (2012) · Experimental Economics · doi:10.1007/s10683-014-9400-5 · Cited by 103 · see citing works
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Noorian, Z., & Ulieru, M. (2010) · Journal of theoretical and applied electronic commerce research · doi:10.4067/s0718-18762010000200007 · Cited by 102 · see citing works
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Hong, S., & Park, H. S. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.12.011 · Cited by 102 · see citing works
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Klein, T. J., Lambertz, C., & Stahl, K. (2016) · Journal of Political Economy · doi:10.1086/688875 · Cited by 101 · see citing works
Clemons, E. K., & Gao, G. G. (2007) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2007.10.001 · Cited by 97 · see citing works
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Rice, S. C. (2011) · Information Systems Research · doi:10.1287/isre.1110.0362 · Cited by 96 · see citing works
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Sun, H., Fan, M., & Tan, Y. (2016) · Information Systems Research · doi:10.1287/isre.2019.0874 · Cited by 93 · see citing works
Animesh, A., Ramachandran, V., & Viswanathan, S. (2009) · Information Systems Research · doi:10.1287/isre.1080.0222 · Cited by 92 · see citing works
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Askalidis, G., Kim, S. J., & Malthouse, E. C. (2017) · Decision Support Systems · doi:10.1016/j.dss.2017.03.002 · Cited by 91 · see citing works
Walsh, G., Bartikowski, B., & Beatty, S. E. (2012) · British Journal of Management · doi:10.1111/j.1467-8551.2012.00845.x · Cited by 90 · see citing works
Willingness to Pay and Competition in Online Auctions
Chan, T. Y., Kadiyali, V., & Park, Y.-H. (2007) · Journal of Marketing Research · doi:10.1509/jmkr.44.2.324 · Cited by 87 · see citing works
- Authors
- Resnick, P., Zeckhauser, R., Swanson, J., & Lockwood, K.
- Affiliations
- University of Michigan (US)
- Harvard University (US)
- Northwestern University (US)
- Venue
- Experimental Economics
- Publisher
- Cambridge University Press (CUP)
- Published
- 2006-06
- Volume
- 9
- Issue
- 2
- Pages
- 79-101
- ISSN
- 1386-4157 (ISSN-L)
- 1573-6938
- OpenAlex
- W3121755630
- Cited by
- 1,118
- References
- 36
- Citations by year
- 2026: 25 · 2025: 17 · 2024: 21 · 2023: 23 · 2022: 30 · 2021: 38 · 2020: 40 · 2019: 66 · 2018: 41 · 2017: 55 · 2016: 44 · 2015: 60 · 2014: 62 · 2013: 60 · 2012: 91
- FWCI
- 109.70
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Experimental Economics (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Science Foundation
- Carnegie Mellon University
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Auction Theory and Applications
- Social Sciences › Safety Research › Experimental Behavioral Economics Studies
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Keywords
- online reputation, eBay, online auctions, willingness to pay, negative feedback, buyer behavior, online marketplaces
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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