The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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)
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
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
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
Harrison, G. W., & List, J. A. (2004) · Journal of Economic Literature · doi:10.1257/0022051043004577 · Cited by 2,282
Ba, S., & Pavlou, P. A. (2002) · Cited by 2,256
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 1,831
Self-citationReputation Acquisition in Debt Markets
Diamond, D. W. (1989) · Journal of Political Economy · doi:10.1086/261630 · Cited by 1,627
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
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
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
Flagged first, then by citations
Cited by
Sorted by citations
Items 301–400 of 1,000
Are the most popular users always trustworthy? The case of Yelp
Pranata, I., & Susilo, W. (2016) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2016.09.005 · Cited by 26
Estimating demand from eBay prices
Adams, C. (2007) · International Journal of Industrial Organization · doi:10.1016/j.ijindorg.2007.04.008 · Cited by 26
Simulation Experiments on (the Absence of) Ratings Bias in Reputation Systems
Thebault-Spieker, J., Kluver, D., Klein, M. A., Halfaker, A., Hecht, B., Terveen, L., & Konstan, J. A. (2017) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3134736 · Cited by 26
E-auction web assessment model in China
Lu, J., Wang, L.-Z., Yu, C., & Wu, J. (2009) · Electronic Commerce Research · doi:10.1007/s10660-009-9033-5 · Cited by 25
Kraut, R. E., Burke, M., Riedl, J., & Kraut, I. (2010) · Cited by 25
Properties of feedback mechanisms on digital platforms: an exploratory study
Steur, A., & Seiter, M. (2020) · Journal of Business Economics · doi:10.1007/s11573-020-01009-6 · Cited by 25
User-Centered Design of Online Learning Communities
Lambropoulos, N. (2011) · IGI Global eBooks · doi:10.4018/9781599043586.ch001 · Cited by 25
Individual and Collective Reputation: Lessons from the Wine MarketPreprint
Castriota, S., & Delmastro, M. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1349992 · Cited by 26
The Sound of Silence: Mining Implicit Feedbacks to Compute Reputation
Morzy, M., & Wierzbicki, A. (2006) · Lecture notes in computer science · doi:10.1007/11944874_33 · Cited by 24
Macartney, H. (2019) · doi:10.1093/oso/9780198843764.001.0001 · Cited by 24
La reputación online y su impacto en la política de precios de los hoteles
Jens, P. D., & Ruibal, A. R. (2015) · Cuadernos de Turismo · doi:10.6018/turismo.36.230911 · Cited by 24
Modeling trust and reputation systems in hostile environments
Ghasempouri, S. A., & Ladani, B. T. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.05.017 · Cited by 24
Tang, Q., & Whinston, A. B. (2019) · Production and Operations Management · doi:10.1111/poms.13119 · Cited by 23
The Value of a Good Reputation Online: An Application to Art Auctions
Canals-Cerdá, J. J. (2008) · Journal of Cultural Economics · doi:10.1007/s10824-011-9156-0 · Cited by 23
Goldstein, A., & Eaton, C. (2021) · American Sociological Review · doi:10.1177/00031224211043223 · Cited by 23
Reserve prices as reference points – Evidence from auctions for football players at Hattrick.org
Trautmann, S. T., & Traxler, C. (2009) · Journal of Economic Psychology · doi:10.1016/j.joep.2009.08.004 · Cited by 23
Transient nature of cooperation by pay-it-forward reciprocity
Horita, Y., Takezawa, M., Kinjo, T., Nakawake, Y., & Masuda, N. (2016) · Scientific Reports · doi:10.1038/srep19471 · Cited by 27
Mitigating Overexposure in Viral Marketing
Abebe, R., Adamic, L. A., & Kleinberg, J. M. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11282 · Cited by 23
Luo, L., Ma, X., & Wang, Z. (2020) · Asia Pacific Journal of Management · doi:10.1007/s10490-020-09730-0 · Cited by 23
What Influences the Market Outcome of Online P2P Lending Marketplace?
Xu, Y., Luo, C., Chen, D., & Zheng, H. (2015) · Journal of Global Information Management · doi:10.4018/jgim.2015070102 · Cited by 23
Common threshold in quantile regressions with an application to pricing for reputation
Su, L., & Xu, P. (2017) · Econometric Reviews · doi:10.1080/07474938.2017.1318469 · Cited by 23
Why We Can’t Be Bothered to Read Privacy Policies
Vila, T., Greenstadt, R., & Molnár, D. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/1-4020-8090-5_11 · Cited by 23
Zhang, J., Prater, E. L., & Lipkin, I. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.12.025 · Cited by 23
The Formation of Physician Impressions in Online Communities
D’Angelo, J. D., & Heide, B. L. V. D. (2013) · Communication Research · doi:10.1177/0093650213491112 · Cited by 23
Reputation-based Wi-Fi deployment
Salem, N. B., Hubaux, J., & Jakobsson, M. (2005) · ACM SIGMOBILE Mobile Computing and Communications Review · doi:10.1145/1094549.1094559 · Cited by 23
Seller Strategies on EbayPreprint
Anderson, S. T., Friedman, D., Milam, G. H., & Singh, N. (2004) · SSRN Electronic Journal · doi:10.2139/ssrn.531702 · Cited by 23
Seller heterogeneity in electronic marketplaces: A study of new and experienced sellers in eBay
Goes, P. B., Tu, Y., & Tung, Y. A. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.06.007 · Cited by 22
Sen, A., Grad, T., Ferreira, P., & Claussen, J. (2023) · Management Science · doi:10.1287/mnsc.2023.4962 · Cited by 22
The Devil You (Don't) Know: Interpersonal Ambiguity and Inference Making in Competitive Contexts
Norton, D. A., Lamberton, C. P., & Reczek, R. W. (2013) · Journal of Consumer Research · doi:10.1086/669562 · Cited by 22
A Distributed Coalition Game Approach to Femto-Cloud Formation
Tanzil, S. M. S., Gharehshiran, O. N., & Krishnamurthy, V. (2016) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2016.2594175 · Cited by 22
Information Selection in the Blogosphere: The Effect of Expertise, Community Rating, and Age
Winter, S., Krämer, N. C., Appel, J., & Schielke, K. (2010) · eScholarship (California Digital Library) · Cited by 22
Modeling Reputation as a Time‐Series: Evaluating the Risk of Purchase Decisions on eBay*
Hayne, S. C., Wang, H., & Wang, L. (2015) · Decision Sciences · doi:10.1111/deci.12156 · Cited by 22
Trust and Reputation in Internet Auctions
Diekmann, A., Jann, B., & Wyder, D. (2009) · BORIS (University Library Bern) · doi:10.7892/boris.67686 · Cited by 22
Online Pricing and the Euro Changeover: Cross-Country ComparisonsPreprint
Baye, M. R., Morgan, J. M., Gatti, J. R. J., & Kattuman, P. A. (2002) · SSRN Electronic Journal · doi:10.2139/ssrn.336044 · Cited by 22
Pavlou, P. A., & Dimoka, A. (2005) · SSRN Electronic Journal · Cited by 22
Steur, A., Fritzsche, F., & Seiter, M. (2022) · Electronic Markets · doi:10.1007/s12525-022-00525-3 · Cited by 21
A human behaviour model and its implications in the transport context
Najmi, A., Waller, S. T., Memarpour, M., Nair, D. J., & Rashidi, T. H. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100800 · Cited by 23
A Framework for Building Reputation Systems
Windley, P. J., Tew, K., & Daley, D. (2007) · Cited by 21
Reputation and User Requirement Based Price Modeling for Dynamic Spectrum Access
Hassan, M. R., Karmakar, G., & Kamruzzaman, J. (2013) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2013.78 · Cited by 21
The role of contracts and trust in R&D alliances in the Dutch biotech sector
Aalbers, R. (2010) · Innovation · doi:10.5172/impp.12.3.311 · Cited by 21
USER-GENERATED CONTENT AS WORD-OF-MOUTH
Ramirez, E., Gau, R., Hadjimarcou, J. S., & Xu, Z. “. (2018) · The Journal of Marketing Theory and Practice · doi:10.1080/10696679.2017.1389239 · Cited by 21
Seller Reputation: Individual, Collective, and Institutional Factors
Castriota, S., & Delmastro, M. (2012) · Journal of Wine Economics · doi:10.1017/jwe.2012.4 · Cited by 21
Heyman, J. E., & Mellers, B. A. (2015) · Routledge eBooks · doi:10.4324/9780203809570.ch27 · Cited by 21
Excess reciprocity distorts reputation in online social networks
Livan, G., Caccioli, F., & Aste, T. (2017) · Scientific Reports · doi:10.1038/s41598-017-03481-7 · Cited by 20
Reputation‐based Web service orchestration in cloud computing: A survey
Mármol, F. G., & Kuhnen, M. Q. (2013) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.3177 · Cited by 20
Chou, S. Y. (2012) · Cited by 20
The Influence of Trust Score on Cooperative Behavior
Ignat, C., Dang, Q.-V., & Shalin, V. L. (2019) · ACM Transactions on Internet Technology · doi:10.1145/3329250 · Cited by 20
Consumer Learning Embedded in Electronic Word of Mouth
Lu, X., Li, Y., Zhang, Z., & Rai, B. (2014) · Journal of electronic commerce research · Cited by 20
Simpson, T. W. (2010) · Ethics and Information Technology · doi:10.1007/s10676-010-9259-x · Cited by 19
Shrouded Prices and Firm Reputation: Evidence from the U.S. Hotel Industry
Chiles, B. S. (2017) · Management Science · doi:10.1287/mnsc.2019.3566 · Cited by 19
Harburg, E., Lewis, D. R., Easterday, M. W., & Gerber, E. M. (2018) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3241043 · Cited by 22
Effects of being watched on self-referential processing, self-awareness and prosocial behaviour
Cañigueral, R., & Hamilton, A. F. D. C. (2019) · Consciousness and Cognition · doi:10.1016/j.concog.2019.102830 · Cited by 19
Reputation and Pricing Dynamics in Online Markets
Ma, Q., Huang, J., Başar, T., Liu, J., & Chen, X. (2021) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2021.3071506 · Cited by 19
The market as a process for the discovery of whom not to trust
Choi, G. S., & Storr, V. H. (2021) · Journal of Institutional Economics · doi:10.1017/s1744137421000370 · Cited by 19
Identity changes and the efficiency of reputation systems
Wibral, M. (2014) · Experimental Economics · doi:10.1007/s10683-014-9410-3 · Cited by 19
La gratuité à la croisée des nouveaux modèles d'affaires sur l'Internet
Nguyen, G. D., & Pénard, T. (2004) · Réseaux · doi:10.3917/res.124.0081 · Cited by 19
The agistment market in the northern Australian rangelands: failings and opportunities
Reeson, A. F., McAllister, R. R. J., Whitten, S. M., Gordon, I. J., Nicholas, M., & McDouall, S. S. (2008) · The Rangeland Journal · doi:10.1071/rj06042 · Cited by 19
An analysis of privacy signals on the World Wide Web: Past, present and future
Reay, I., Dick, S., & Miller, J. (2008) · Information Sciences · doi:10.1016/j.ins.2008.12.012 · Cited by 19
Consumer Demand for Fair Labor Standards: Evidence from a Field Experiment on eBayPreprint
Hiscox, M., Broukhim, M., Litwin, C., & Woloski, A. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1811788 · Cited by 19
Reputation Dynamics in a Market for Illicit DrugsPreprint
Janetos, N., & Tilly, J. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1703.01937 · Cited by 19
Trust and reputation in the peer-to-peer platform economy
Kas, J. (2020) · Utrecht University Repository (Utrecht University) · doi:10.33540/373 · Cited by 19
Cooperation with Strangers: Spillover of Community Norms
Molina, M. D., Nee, V. G., & Holm, H. J. (2022) · Organization Science · doi:10.1287/orsc.2021.1521 · Cited by 19
Open Source Political Community Development: A Five-Stage Adoption Process
Karpf, D. (2011) · Journal of Information Technology & Politics · doi:10.1080/19331681.2011.575020 · Cited by 18
Achieving Honest Ratings with Reputation-Based Fines in Electronic Markets
Papaioannou, T. G., & Stamoulis, G. D. (2008) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2007.158 · Cited by 18
Determining credibility from social network structure
Briscoe, E., Appling, D. S., Mappus, R. L., & Hayes, H. (2013) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/2492517.2492574 · Cited by 20
Successful Online Socialization: Lessons from the Wikipedia Education Program
Li, A., Yao, Z. Q., Yang, D., Kulkarni, C. E., Farzan, R., & Kraut, R. E. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3392857 · Cited by 18
Geography as branding: Descriptive evidence from Taobao
Chintagunta, P. K., & Chu, J. (2021) · Quantitative Marketing and Economics · doi:10.1007/s11129-020-09232-9 · Cited by 18
Reputation and social (dis)approval in feedback mechanisms: An experimental study
Lumeau, M., David Masclet, B., & Pénard, T. (2015) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2015.02.002 · Cited by 18
Does players’ identification affect trust and reciprocity in the lab?
Dubois, D., Willinger, M., & Blayac, T. (2011) · Journal of Economic Psychology · doi:10.1016/j.joep.2011.09.012 · Cited by 18
FINANCIAL VALUE OF REPUTATION: EVIDENCE FROM THE eBAY AUCTIONS OF GMAIL INVITATIONS*
Lei, Q. (2011) · Journal of Industrial Economics · doi:10.1111/j.1467-6451.2011.00457.x · Cited by 18
Gazzale, R. S., & Khopkar, T. (2011) · Experimental Economics · doi:10.1007/s10683-010-9267-z · Cited by 18
A framework for virtual community business success: the case of the Internet Chess Club
Ginsburg, M., & Weisband, S. P. (2004) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2004.1265466 · Cited by 18
Users’ processing of online marketplace listings for high and low involvement goods
Gorton, M., Marek, E., Pang, G., Andrzejewski, W., & Lin, Y. (2024) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2024.101382 · Cited by 17
Do “Made in USA” Claims Matter?
Kong, X., & Rao, A. (2021) · Marketing Science · doi:10.1287/mksc.2020.1274 · Cited by 17
Incentive-Based Robust Reputation Mechanism for P2P Services
Anceaume, E., & Ravoaja, A. (2006) · Lecture notes in computer science · doi:10.1007/11945529_22 · Cited by 17
Parents, spouses, and children of hospitalized patients: evaluation of nursing care
Yagil, D., Luria, G., Admi, H., Eilon, Y., & Linn, S. (2010) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2010.05315.x · Cited by 17
Bay, D. D., & Nikitkov, A. N. (2011) · Business Ethics A European Review · doi:10.1111/j.1467-8608.2010.01608.x · Cited by 17
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising
Guo, L., Jin, J., Zhang, H., Zheng, Z., Yang, Z., Xing, Z., Pan, F., Niu, L., Wu, F., Xu, H., et al. (2021) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3447548.3467175 · Cited by 17
Online Reputation Systems in Web 2.0 Era
Zheng, W., & Jin, L. (2009) · Lecture notes in business information processing · doi:10.1007/978-3-642-03132-8_24 · Cited by 17
Coordinating User and Device Behavior in Wireless Grids
McKnight, L. W., Lehr, W. H., & Howison, J. (2007) · Springer eBooks · doi:10.1007/978-1-4020-5979-7_35 · Cited by 17
Returns on reputation in retail e-commerce
Saastamoinen, J. (2009) · UEF eRepo (University of Eastern Finland) · Cited by 17
The Playfulness of eBay and the Implications for Business as a Game-Maker
Molesworth, M., & Denegri‐Knott, J. (2008) · Journal of Macromarketing · doi:10.1177/0276146708325384 · Cited by 17
Dynamic Self-management of Autonomic Systems: The Reputation, Quality and Credibility (RQC) Scheme
Garg, A., Battiti, R., & Costanzi, G. (2005) · Lecture notes in computer science · doi:10.1007/11520184_13 · Cited by 17
An Economic Analysis of Online Product Reviews and RatingsPreprint
Jiang, B., & Chen, P.-Y. (2007) · SSRN Electronic Journal · doi:10.2139/ssrn.1023302 · Cited by 17
Losing to Win: Reputation Management of Online SellersPreprint
Xiao, M., Ju, J., & Fan, Y. (2013) · RePEc: Research Papers in Economics · Cited by 17
In Stars We Trust – A Note on Reputation Portability Between Digital Platforms
Hesse, M., Teubner, T., & Adam, M. T. P. (2022) · Business & Information Systems Engineering · doi:10.1007/s12599-021-00717-9 · Cited by 16
Web Aesthetics: How Does it Influence the Sales Performance in Online Marketplaces
Lu, Y. L., Tan, B. C. Y., & Wang, Y. (2013) · International Conference on Information Systems · Cited by 16
Can Online Trading Survive Bad Mouthing? An Experimental Investigation
Du, N., Huang, H., & Li, L. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.10.054 · Cited by 17
Analyzing the Impact of Public Buyer–Seller Engagement During Online Auctions
Tripathi, A., Lee, Y. J., & Basu, A. (2022) · Information Systems Research · doi:10.1287/isre.2022.1114 · Cited by 17
Designing Quality Certificates: Insights from eBay
Hui, X., Jin, G. Z., & Liu, M. (2024) · Journal of Marketing Research · doi:10.1177/00222437241270222 · Cited by 16
An Architecture for Trust-Adaptive Agents
Klejnowski, L., Bernard, Y., Hähner, J., & Müller-Schloer, C. (2010) · IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW) · doi:10.1109/sasow.2010.37 · Cited by 16
Consumer Decision Making in the Information Age
Houdek, P., Koblovský, P., Šťastný, D., & Vranka, M. A. (2018) · Society · doi:10.1007/s12115-018-0283-5 · Cited by 20
Reputation based approach for improved fairness and robustness in P2P protocols
Nwebonyi, F. N., Martins, R., & Correia, M. E. (2018) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-018-0701-x · Cited by 16
Depken, C. A., & Gregorius, B. (2008) · International Journal of Electronic Business · doi:10.1504/ijeb.2010.032094 · Cited by 16
Lock‐In Effects in Online Labor Markets
Ciotti, F., Hornuf, L., & Stenzhorn, E. (2024) · Journal of Economics & Management Strategy · doi:10.1111/jems.12612 · Cited by 23
Shen, Z., & Sundaresan, N. (2011) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1935826.1935916 · Cited by 16
The evolution of judgement bias in indirect reciprocity
Rankin, D. J., & Eggimann, F. (2009) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2008.1715 · Cited by 18
Seller strategies on eBay: Does size matter?
Anderson, S. T., Friedman, D., Milam, G. H., & Singh, N. (2007) · International Journal of Electronic Business · doi:10.1504/ijeb.2007.016476 · Cited by 16
Adverse Selection and Moral Hazard in Anonymous MarketsPreprint
Klein, T. J., Lambertz, C., & Stahl, K. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2310558 · Cited by 16
Key Drivers in the Market for Remanufactured Products: Empirical Evidence from eBayPreprint
Subramanian, R., & Subramanyam, R. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1320719 · Cited by 16
Metadata
- 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 › Economics, Econometrics and Finance › Economics and Econometrics › 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 ›
Are you an author, or do you see a problem with this page? Request a review
