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Lingfang Ivy Li

Personal Details

First Name:Lingfang
Middle Name:Ivy
Last Name:Li
Suffix:
RePEc Short-ID:pli1490
[This author has chosen not to make the email address public]

Affiliation

School of Management
Fudan University

Shanghai, China
http://www.fdms.fudan.edu.cn/
RePEc:edi:msfudcn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2016. "Buying Reputation as a Signal of Quality: Evidence from an Online Marketplace," NBER Working Papers 22584, National Bureau of Economic Research, Inc.
  2. Luis Cabral & Lingfang (Ivy) Li, 2012. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Working Papers 12-13, New York University, Leonard N. Stern School of Business, Department of Economics.
  3. Li, Lingfang (Ivy) & Xiao, Erte, 2010. "Money Talks? An Experimental Study of Rebate in Reputation System Design," MPRA Paper 22401, University Library of Munich, Germany.
  4. Bargagliotti, Anna E. & Li, Lingfang (Ivy), 2009. "Decision Making Using Rating Systems: When Scale Meets Binary," MPRA Paper 16947, University Library of Munich, Germany.
  5. Li, Lingfang (Ivy), 2008. "What is the Cost of Venting? Evidence from eBay," MPRA Paper 16949, University Library of Munich, Germany.

Articles

  1. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2020. "Buying reputation as a signal of quality: Evidence from an online marketplace," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 965-988, December.
  2. Luís Cabral & Lingfang (Ivy) Li, 2015. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Management Science, INFORMS, vol. 61(9), pages 2052-2063, September.
  3. Lingfang (Ivy) Li & Erte Xiao, 2014. "Money Talks: Rebate Mechanisms in Reputation System Design," Management Science, INFORMS, vol. 60(8), pages 2054-2072, August.
  4. Li, Lingfang (Ivy), 2010. "What is the cost of venting? Evidence from eBay," Economics Letters, Elsevier, vol. 108(2), pages 215-218, August.
  5. Lingfang (Ivy) Li, 2010. "Reputation, Trust, and Rebates: How Online Auction Markets Can Improve Their Feedback Mechanisms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(2), pages 303-331, June.
  6. Lingfang (Ivy) Li & Donald Saari, 2008. "Sen’s theorem: geometric proof, new interpretations," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 31(3), pages 393-413, October.
    RePEc:inm:ormnsc:v:66:y:2020:i:1:p:315-333 is not listed on IDEAS

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2016. "Buying Reputation as a Signal of Quality: Evidence from an Online Marketplace," NBER Working Papers 22584, National Bureau of Economic Research, Inc.

    Cited by:

    1. Ruediger Bachmann & Gabriel Ehrlich & Ying Fan & Dimitrije Ruzic, 2017. "Firms and Collective Reputation: A Study of the Volkswagen Emissions Scandal," CESifo Working Paper Series 6805, CESifo.
    2. Maggie X. Chen & Min Wu, 2016. "The Value of Reputation in Trade: Evidence from Alibaba," Working Papers 2016-20, The George Washington University, Institute for International Economic Policy.
    3. Braesemann, Fabian & Stephany, Fabian & Teutloff, Ole & Kässi, Otto & Graham, Mark & Lehdonvirta, Vili, 2021. "The polarisation of remote work," EconStor Preprints 238189, ZBW - Leibniz Information Centre for Economics.
    4. Mingwen Yang & Zhiqiang (Eric) Zheng & Vijay Mookerjee, 2019. "Prescribing Response Strategies to Manage Customer Opinions: A Stochastic Differential Equation Approach," Information Systems Research, INFORMS, vol. 30(2), pages 351-374, June.
    5. Zibo Liu & Zhijie Lin & Ying Zhang & Yong Tan, 2022. "The Signaling Effect of Sampling Size in Physical Goods Sampling Via Online Channels," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 529-546, February.
    6. Mayank Aggarwal & Anindya Chakrabarti & Chirantan Chatterjee & Matthew J. Higgins, 2021. "Research and Market Structure: Evidence from an Antibiotic-Resistant Pathogenic Outbreak," NBER Working Papers 28840, National Bureau of Economic Research, Inc.
    7. Claudia Keser & Maximilian Späth, 2020. "The Value of Bad Ratings: An Experiment on the Impact of Distortions in Reputation Systems," CIRANO Working Papers 2020s-22, CIRANO.
    8. Michael Luca & Oren Reshef, 2020. "The Effect of Price on Firm Reputation," NBER Working Papers 27405, National Bureau of Economic Research, Inc.
    9. Zehao Chen & Yanchen Zhu & Tianyang Shen & Yufan Ye, 2022. "RETRACTED ARTICLE: The optimal pricing strategy to evaluate the reputations of sellers in online platforms using the game theory model," Operations Management Research, Springer, vol. 15(3), pages 953-964, December.
    10. Kaiwei Zhang & Xi Weng & Xienan Cheng, 2022. "Optimal Pricing Schemes in the Presence of Social Learning and Costly Reporting," Papers 2211.07362, arXiv.org, revised Dec 2023.
    11. Vijay Kamble & Nihar Shah & David Marn & Abhay Parekh & Kannan Ramchandran, 2023. "The Square Root Agreement Rule for Incentivizing Truthful Feedback on Online Platforms," Management Science, INFORMS, vol. 69(1), pages 377-403, January.
    12. Yan Chen & Peter Cramton & John A. List & Axel Ockenfels, 2021. "Market Design, Human Behavior, and Management," Management Science, INFORMS, vol. 67(9), pages 5317-5348, September.
    13. Fabian Braesemann & Fabian Stephany & Ole Teutloff & Otto Kassi & Mark Graham & Vili Lehdonvirta, 2021. "The global polarisation of remote work," Papers 2108.13356, arXiv.org, revised Nov 2022.
    14. Quignon, Aurelien, 2023. "Crowd-based feedback and early-stage entrepreneurial performance: Evidence from a digital platform," Research Policy, Elsevier, vol. 52(7).
    15. Paul Belleflamme & Martin Peitz, 2018. "Inside the Engine Room of Digital Platforms: Reviews, Ratings, and Recommendations," AMSE Working Papers 1806, Aix-Marseille School of Economics, France.
    16. Paul R. Milgrom & Steven Tadelis, 2018. "How Artificial Intelligence and Machine Learning Can Impact Market Design," NBER Working Papers 24282, National Bureau of Economic Research, Inc.
    17. Joonhyuk Yang & Navdeep S. Sahni & Harikesh S. Nair & Xi Xiong, 2024. "Advertising as Information for Ranking E-Commerce Search Listings," Marketing Science, INFORMS, vol. 43(2), pages 360-377, March.
    18. Engelmann, Dirk & Frank, Jeff & Koch, Alexander K. & Valente, Marieta, 2020. "Second-Chance Offers and Buyer Reputation: Theory and Evidence on Auctions with Default," Rationality and Competition Discussion Paper Series 237, CRC TRR 190 Rationality and Competition.
    19. Keser, Claudia & Späth, Maximilian, 2020. "The value of bad ratings: An experiment on the impact of distortions in reputation systems," University of Göttingen Working Papers in Economics 389, University of Goettingen, Department of Economics.
    20. Andrey Fradkin & David Holtz, 2023. "Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb," Marketing Science, INFORMS, vol. 42(5), pages 853-865, September.
    21. Michael Luca & Oren Reshef, 2021. "The Effect of Price on Firm Reputation," Management Science, INFORMS, vol. 67(7), pages 4408-4419, July.
    22. Nicolas Eschenbaum & Helge Liebert, 2021. "Dealing with Uncertainty: The Value of Reputation in the Absence of Legal Institutions," Papers 2107.11314, arXiv.org.
    23. Jonathan Lafky & Robin Ng, 2024. "Ratings with Heterogeneous Preferences," CRC TR 224 Discussion Paper Series crctr224_2024_594, University of Bonn and University of Mannheim, Germany.
    24. Xu, Man & Tang, Wansheng & Zhao, Ruiqing, 2023. "Should reputable e-retailers undertake service activities along with sales?," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    25. Nikhil Vellodi, 2018. "Ratings Design and Barriers to Entry," Working Papers 18-13, NET Institute.
    26. Ke & Ma & Sophie Yanying Sheng & Haitian Xie, 2023. "Employer Reputation and the Labor Market: Evidence from Glassdoor.com and Dice.com," Papers 2305.02587, arXiv.org, revised Sep 2023.
    27. Hoyer, B. & van Straaten, D., 2022. "Anonymity and self-expression in online rating systems—An experimental analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    28. Aleksei Smirnov & Egor Starkov, 2022. "Bad News Turned Good: Reversal under Censorship," American Economic Journal: Microeconomics, American Economic Association, vol. 14(2), pages 506-560, May.
    29. Jules Depersin & B'ereng`ere Patault, 2023. "Revisiting the effect of search frictions on market concentration," Papers 2303.01824, arXiv.org.
    30. Jie Bai & Ludovica Gazze & Yukun Wang, 2019. "Collective Reputation in Trade: Evidence from the Chinese Dairy Industry," CID Working Papers 366, Center for International Development at Harvard University.
    31. Jie Bai & Ludovica Gazze & Yukun Wang, 2019. "Collective Reputation in Trade: Evidence from the Chinese Dairy Industry," NBER Working Papers 26283, National Bureau of Economic Research, Inc.

  2. Luis Cabral & Lingfang (Ivy) Li, 2012. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Working Papers 12-13, New York University, Leonard N. Stern School of Business, Department of Economics.

    Cited by:

    1. Guo, Qiaozhen & Chen, Ying-Ju & Huang, Wei, 2022. "Dynamic pricing of new experience products with dual-channel social learning and online review manipulations," Omega, Elsevier, vol. 109(C).
    2. Yipu Deng & Jinyang Zheng & Warut Khern-am-nuai & Karthik Kannan, 2022. "More than the Quantity: The Value of Editorial Reviews for a User-Generated Content Platform," Management Science, INFORMS, vol. 68(9), pages 6865-6888, September.
    3. Johnen, Johannes & Ng, Robin, 2023. "Harvesting Ratings," CEPR Discussion Papers 18021, C.E.P.R. Discussion Papers.
    4. Tobias Gesche, 2022. "Reference‐price shifts and customer antagonism: Evidence from reviews for online auctions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 558-578, August.
    5. Bolton, Gary & Breuer, Kevin & Greiner, Ben & Ockenfels, Axel, 2020. "Fixing feedback revision rules in online markets," Department for Strategy and Innovation Working Paper Series 01/2020, WU Vienna University of Economics and Business.
    6. Kim, Jong Min & Lee, Eunkyung & Mariani, Marcello M., 2021. "The influence of launching mobile channels on online customer reviews," Journal of Business Research, Elsevier, vol. 137(C), pages 366-378.
    7. von Essen, Emma & Karlsson, Jonas Karlsson, 2013. "A matter of transient anonymity: Discrimination by gender and foreignness in online auctions," Research Papers in Economics 2013:6, Stockholm University, Department of Economics.
    8. Gordon Burtch & Yili Hong & Ravi Bapna & Vladas Griskevicius, 2018. "Stimulating Online Reviews by Combining Financial Incentives and Social Norms," Management Science, INFORMS, vol. 64(5), pages 2065-2082, May.
    9. Christoph Carnehl & Maximilian Schaefer & André Stenzel & Kevin Ducbao Tran, 2022. "Value for Money and Selection: How Pricing Affects Airbnb Ratings," Working Papers 684, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    10. Dandan Qiao & Huaxia Rui, 2023. "Text Performance on the Vine Stage? The Effect of Incentive on Product Review Text Quality," Information Systems Research, INFORMS, vol. 34(2), pages 676-697, June.
    11. Jannett Highfill & Kevin M. O’Brien, 2018. "eBay Memorabilia Auctions vis-à -vis Predictions for the 2016 U.S. Presidential Election," The American Economist, Sage Publications, vol. 63(1), pages 71-78, March.
    12. Kaiwei Zhang & Xi Weng & Xienan Cheng, 2022. "Optimal Pricing Schemes in the Presence of Social Learning and Costly Reporting," Papers 2211.07362, arXiv.org, revised Dec 2023.
    13. Jianqing Chen & Zhiling Guo & Jian Huang, 2022. "An Economic Analysis of Rebates Conditional on Positive Reviews," Information Systems Research, INFORMS, vol. 33(1), pages 224-243, March.
    14. Dandan Qiao & Shun-Yang Lee & Andrew B. Whinston & Qiang Wei, 2020. "Financial Incentives Dampen Altruism in Online Prosocial Contributions: A Study of Online Reviews," Information Systems Research, INFORMS, vol. 31(4), pages 1361-1375, December.
    15. Bozana Zekan & Ulrich Gunter, 2022. "Zooming into Airbnb listings of European cities: Further investigation of the sector’s competitiveness," Tourism Economics, , vol. 28(3), pages 772-794, May.
    16. Xiang Hui & Meng Liu & Tat Chan, 2023. "Targeted incentives, broad impacts: Evidence from an E-commerce platform," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 493-517, December.
    17. Yan Chen & Peter Cramton & John A. List & Axel Ockenfels, 2021. "Market Design, Human Behavior, and Management," Management Science, INFORMS, vol. 67(9), pages 5317-5348, September.
    18. Qili Wang & Liangfei Qiu & Wei Xu, 2024. "Informal Payments and Doctor Engagement in an Online Health Community: An Empirical Investigation Using Generalized Synthetic Control," Information Systems Research, INFORMS, vol. 35(2), pages 706-726, June.
    19. Cui, Geng & Chung, Yuho & Peng, Ling & Zheng, Wanyi, 2022. "The importance of being earnest: Mandatory vs. voluntary disclosure of incentives for online product reviews," Journal of Business Research, Elsevier, vol. 141(C), pages 633-645.
    20. Emma von Essen & Jonas Karlsson, 2019. "The effect of competition on discrimination in online markets—Anonymity and selection," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-18, August.
    21. Marchenko, Maria & Sonnabend, Hendrik, 2022. "The Never Ending Book: The role of external stimuli and peer feedback in user-generated content production," Department of Economics Working Paper Series 320, WU Vienna University of Economics and Business.
    22. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2016. "Buying Reputation as a Signal of Quality: Evidence from an Online Marketplace," NBER Working Papers 22584, National Bureau of Economic Research, Inc.
    23. Jürgen Neumann & Dominik Gutt & Dennis Kundisch, 2018. "The Traveling Reviewer Problem – Exploring the Relationship between Offline Locations and Online Rating Behavior," Working Papers Dissertations 44, Paderborn University, Faculty of Business Administration and Economics.
    24. Chen, Ruolan & Yuan, Ruizhi & Huang, Bo & Liu, Martin J., 2023. "Feeling warm or skeptical? An investigation into the effects of incentivized eWOM programs on customers’ eWOM sharing intentions," Journal of Business Research, Elsevier, vol. 167(C).
    25. Zegners, Dainis, 2017. "Building an Online Reputation with Free Content: Evidence from the E-book Market," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168293, Verein für Socialpolitik / German Economic Association.
    26. Dirk van Straaten, 2021. "Incentive Schemes in Customer Rating Systems - Comparing the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation," Working Papers Dissertations 71, Paderborn University, Faculty of Business Administration and Economics.
    27. Jürgen Neumann, 2021. "When Biased Ratings Benefit the Consumer - An Economic Analysis of Online Ratings in Markets with Variety-Seeking Consumers," Working Papers Dissertations 77, Paderborn University, Faculty of Business Administration and Economics.
    28. Andrey Fradkin & David Holtz, 2023. "Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb," Marketing Science, INFORMS, vol. 42(5), pages 853-865, September.
    29. Anna Ressi, 2020. "Discussion of “The Market for Reviews: Strategic Behavior of Online Product Reviewers with Monetary Incentives”," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(3), pages 437-445, July.
    30. Johnen, Johannes & Ng, Robin, 2023. "Ratings and Reciprocity," LIDAM Discussion Papers CORE 2023006, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    31. Gesche, Tobias, 2018. "Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181650, Verein für Socialpolitik / German Economic Association.
    32. Ni Huang & Gordon Burtch & Bin Gu & Yili Hong & Chen Liang & Kanliang Wang & Dongpu Fu & Bo Yang, 2019. "Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments," Management Science, INFORMS, vol. 65(1), pages 327-345, January.
    33. Xiang Hui & Meng Liu & Tat Chan, 2022. "Targeted Incentives, Broad Impacts: Evidence from an E-commerce Platform," CESifo Working Paper Series 9894, CESifo.
    34. Andrey Fradkin & Elena Grewal & David Holtz, 2021. "Reciprocity and Unveiling in Two-Sided Reputation Systems: Evidence from an Experiment on Airbnb," Marketing Science, INFORMS, vol. 40(6), pages 1013-1029, November.
    35. Nikhil Garg & Ramesh Johari, 2021. "Designing Informative Rating Systems: Evidence from an Online Labor Market," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 589-605, May.
    36. Xinyao Kong & Anita Rao, 2021. "Do “Made in USA” Claims Matter?," Marketing Science, INFORMS, vol. 40(4), pages 731-764, July.
    37. Dongwook Shin & Stefano Vaccari & Assaf Zeevi, 2023. "Dynamic Pricing with Online Reviews," Management Science, INFORMS, vol. 69(2), pages 824-845, February.
    38. Xiaoyu Yu & Yajie Li & Daniel Q. Chen & Xiaotong Meng & Xiangming Tao, 2019. "Entrepreneurial bricolage and online store performance in emerging economies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(2), pages 167-185, June.
    39. Lena Abou El-Komboz & Anna Kerkhof & Johannes Loh, 2023. "Platform Partnership Programs and Content Supply: Evidence from the YouTube “Adpocalypse”," CESifo Working Paper Series 10363, CESifo.
    40. Janina Seutter, 2024. "The origination of online reviews in B2B markets: A qualitative study of the underlying motives of review writers," Working Papers Dissertations 118, Paderborn University, Faculty of Business Administration and Economics.
    41. Xueyu Liu & Shue Mei & Weijun Zhong, 2023. "Video‐sharing platform's optimal monetary incentive decisions considering motivation crowding‐out effect," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 371-387, January.
    42. Foster, Joshua, 2022. "How rating mechanisms shape user search, quality inference and engagement in online platforms: Experimental evidence," Journal of Business Research, Elsevier, vol. 142(C), pages 791-807.
    43. Gordon Burtch & Qinglai He & Yili Hong & Dokyun Lee, 2022. "How Do Peer Awards Motivate Creative Content? Experimental Evidence from Reddit," Management Science, INFORMS, vol. 68(5), pages 3488-3506, May.
    44. Yang, Liu & Dong, Shaozeng, 2018. "Rebate strategy to stimulate online customer reviews," International Journal of Production Economics, Elsevier, vol. 204(C), pages 99-107.

  3. Li, Lingfang (Ivy) & Xiao, Erte, 2010. "Money Talks? An Experimental Study of Rebate in Reputation System Design," MPRA Paper 22401, University Library of Munich, Germany.

    Cited by:

    1. Xiaofei Pan & Daniel Houser, 2017. "Social approval, competition and cooperation," Experimental Economics, Springer;Economic Science Association, vol. 20(2), pages 309-332, June.
    2. Robert S. Gazzale & Tapan Khopkar, 2008. "Remain Silent and Ye Shall Suffer: Seller Exploitation of Reticent Buyers in an Experimental Reputation System," Department of Economics Working Papers 2008-22, Department of Economics, Williams College.
    3. Luis Cabral & Lingfang (Ivy) Li, 2012. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Working Papers 12-13, New York University, Leonard N. Stern School of Business, Department of Economics.
    4. Marianne Lumeau & David Masclet & Thierry Pénard, 2015. "Reputation and social (dis)approval in feedback mechanisms: An experimental study," Post-Print halshs-01116889, HAL.
    5. Li, Lingfang (Ivy), 2008. "What is the Cost of Venting? Evidence from eBay," MPRA Paper 16949, University Library of Munich, Germany.
    6. David Masclet & Thierry P鮡rd, 2012. "Do reputation feedback systems really improve trust among anonymous traders? An experimental study," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4553-4573, December.
    7. Lafky, Jonathan, 2014. "Why do people rate? Theory and evidence on online ratings," Games and Economic Behavior, Elsevier, vol. 87(C), pages 554-570.
    8. José Canals-Cerdá, 2012. "The value of a good reputation online: an application to art auctions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(1), pages 67-85, February.

  4. Bargagliotti, Anna E. & Li, Lingfang (Ivy), 2009. "Decision Making Using Rating Systems: When Scale Meets Binary," MPRA Paper 16947, University Library of Munich, Germany.

    Cited by:

    1. R. Shiller I. & Р. Шиллер Дж., 2018. "Нарративная Экономика И Нейроэкономика // Narrative Economics And Neuroeconomics," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 22(1), pages 64-91.

  5. Li, Lingfang (Ivy), 2008. "What is the Cost of Venting? Evidence from eBay," MPRA Paper 16949, University Library of Munich, Germany.

    Cited by:

    1. Luis Cabral & Lingfang (Ivy) Li, 2012. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Working Papers 12-13, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. Judy E. Scott & Dawn G. Gregg & Jae Hoon Choi, 2015. "Lemon complaints: When online auctions go sour," Information Systems Frontiers, Springer, vol. 17(1), pages 177-191, February.
    3. Lingfang (Ivy) Li, 2010. "Reputation, Trust, and Rebates: How Online Auction Markets Can Improve Their Feedback Mechanisms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(2), pages 303-331, June.
    4. Lingfang (Ivy) Li & Erte Xiao, 2014. "Money Talks: Rebate Mechanisms in Reputation System Design," Management Science, INFORMS, vol. 60(8), pages 2054-2072, August.
    5. Ian Ayres & Mahzarin Banaji & Christine Jolls, 2015. "Race effects on eBay," RAND Journal of Economics, RAND Corporation, vol. 46(4), pages 891-917, October.

Articles

  1. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2020. "Buying reputation as a signal of quality: Evidence from an online marketplace," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 965-988, December.
    See citations under working paper version above.
  2. Luís Cabral & Lingfang (Ivy) Li, 2015. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Management Science, INFORMS, vol. 61(9), pages 2052-2063, September.
    See citations under working paper version above.
  3. Lingfang (Ivy) Li & Erte Xiao, 2014. "Money Talks: Rebate Mechanisms in Reputation System Design," Management Science, INFORMS, vol. 60(8), pages 2054-2072, August.

    Cited by:

    1. Annika Veh & Markus Göbel & Rick Vogel, 2019. "Corporate reputation in management research: a review of the literature and assessment of the concept," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 315-353, December.
    2. Prüfer, J.O., 2014. "Trusting Privacy in the Cloud," Other publications TiSEM a9a71c30-19c3-466a-9d22-1, Tilburg University, School of Economics and Management.
    3. Grodeck, Ben & Tausch, Franziska & Wang, Chengsi & Xiao, Erte, 2023. "To insure or not to insure? Promoting trust and cooperation with insurance advice in markets," European Economic Review, Elsevier, vol. 160(C).
    4. Bolton, Gary & Breuer, Kevin & Greiner, Ben & Ockenfels, Axel, 2020. "Fixing feedback revision rules in online markets," Department for Strategy and Innovation Working Paper Series 01/2020, WU Vienna University of Economics and Business.
    5. Lafky, Jonathan & Wilson, Alistair J., 2020. "Experimenting with incentives for information transmission: Quantity versus quality," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 314-331.
    6. Che, X. & Katayama, H. & Lee, P., 2020. "Willingness to Pay for Brand Reputation: Lessons from the Volkswagen Diesel Emissions Scandal," Working Papers 20/02, Department of Economics, City University London.
    7. Michael Luca & Oren Reshef, 2020. "The Effect of Price on Firm Reputation," NBER Working Papers 27405, National Bureau of Economic Research, Inc.
    8. Luis Cabral & Lingfang (Ivy) Li, 2012. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Working Papers 12-13, New York University, Leonard N. Stern School of Business, Department of Economics.
    9. Xiao, Lu & Wang, Xian-Jia & Chin, Kwai-Sang, 2020. "Trade-in strategies in retail channel and dual-channel closed-loop supply chain with remanufacturing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    10. Jianqing Chen & Zhiling Guo & Jian Huang, 2022. "An Economic Analysis of Rebates Conditional on Positive Reviews," Information Systems Research, INFORMS, vol. 33(1), pages 224-243, March.
    11. Yan Chen & Peter Cramton & John A. List & Axel Ockenfels, 2021. "Market Design, Human Behavior, and Management," Management Science, INFORMS, vol. 67(9), pages 5317-5348, September.
    12. Cui, Geng & Chung, Yuho & Peng, Ling & Zheng, Wanyi, 2022. "The importance of being earnest: Mandatory vs. voluntary disclosure of incentives for online product reviews," Journal of Business Research, Elsevier, vol. 141(C), pages 633-645.
    13. Prüfer, J.O., 2014. "Trusting Privacy in the Cloud," Discussion Paper 2014-047, Tilburg University, Tilburg Law and Economic Center.
    14. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2016. "Buying Reputation as a Signal of Quality: Evidence from an Online Marketplace," NBER Working Papers 22584, National Bureau of Economic Research, Inc.
    15. Zegners, Dainis, 2017. "Building an Online Reputation with Free Content: Evidence from the E-book Market," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168293, Verein für Socialpolitik / German Economic Association.
    16. Dirk van Straaten, 2021. "Incentive Schemes in Customer Rating Systems - Comparing the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation," Working Papers Dissertations 71, Paderborn University, Faculty of Business Administration and Economics.
    17. Halliday, Simon D. & Lafky, Jonathan, 2019. "Reciprocity through ratings: An experimental study of bias in evaluations," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 83(C).
    18. Andrey Fradkin & David Holtz, 2023. "Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb," Marketing Science, INFORMS, vol. 42(5), pages 853-865, September.
    19. Michael Luca & Oren Reshef, 2021. "The Effect of Price on Firm Reputation," Management Science, INFORMS, vol. 67(7), pages 4408-4419, July.
    20. Anna Ressi, 2020. "Discussion of “The Market for Reviews: Strategic Behavior of Online Product Reviewers with Monetary Incentives”," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(3), pages 437-445, July.
    21. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    22. Zou, Wenbo & Wang, Jinjie & Yan, Jubo, 2022. "Online markets and trust," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 395-412.
    23. Prüfer, J.O., 2014. "Trusting Privacy in the Cloud," Other publications TiSEM 556bdb81-1b26-4692-877c-1, Tilburg University, School of Economics and Management.
    24. Gary Bolton & Ben Greiner & Axel Ockenfels, 2018. "Dispute Resolution or Escalation? The Strategic Gaming of Feedback Withdrawal Options in Online Markets," Management Science, INFORMS, vol. 64(9), pages 4009-4031, September.
    25. Nikhil Garg & Ramesh Johari, 2021. "Designing Informative Rating Systems: Evidence from an Online Labor Market," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 589-605, May.
    26. Foster, Joshua, 2022. "How rating mechanisms shape user search, quality inference and engagement in online platforms: Experimental evidence," Journal of Business Research, Elsevier, vol. 142(C), pages 791-807.
    27. Jonathan Lafky & Alistair Wilson, 2018. "Quantity Versus Quality: Experimenting with the Margins for Social Information," Working Papers 2018-02, Carleton College, Department of Economics.
    28. Yang, Liu & Dong, Shaozeng, 2018. "Rebate strategy to stimulate online customer reviews," International Journal of Production Economics, Elsevier, vol. 204(C), pages 99-107.

  4. Li, Lingfang (Ivy), 2010. "What is the cost of venting? Evidence from eBay," Economics Letters, Elsevier, vol. 108(2), pages 215-218, August.
    See citations under working paper version above.
  5. Lingfang (Ivy) Li, 2010. "Reputation, Trust, and Rebates: How Online Auction Markets Can Improve Their Feedback Mechanisms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(2), pages 303-331, June.

    Cited by:

    1. Annika Veh & Markus Göbel & Rick Vogel, 2019. "Corporate reputation in management research: a review of the literature and assessment of the concept," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 315-353, December.
    2. Robert S. Gazzale & Tapan Khopkar, 2008. "Remain Silent and Ye Shall Suffer: Seller Exploitation of Reticent Buyers in an Experimental Reputation System," Department of Economics Working Papers 2008-22, Department of Economics, Williams College.
    3. Luis Cabral & Lingfang (Ivy) Li, 2012. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Working Papers 12-13, New York University, Leonard N. Stern School of Business, Department of Economics.
    4. Li, Lingfang (Ivy), 2008. "What is the Cost of Venting? Evidence from eBay," MPRA Paper 16949, University Library of Munich, Germany.
    5. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    6. Kaiwei Zhang & Xi Weng & Xienan Cheng, 2022. "Optimal Pricing Schemes in the Presence of Social Learning and Costly Reporting," Papers 2211.07362, arXiv.org, revised Dec 2023.
    7. Yan Chen & Peter Cramton & John A. List & Axel Ockenfels, 2021. "Market Design, Human Behavior, and Management," Management Science, INFORMS, vol. 67(9), pages 5317-5348, September.
    8. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2016. "Buying Reputation as a Signal of Quality: Evidence from an Online Marketplace," NBER Working Papers 22584, National Bureau of Economic Research, Inc.
    9. Christina Aperjis & Ramesh Johari, 2010. "Optimal Windows for Aggregating Ratings in Electronic Marketplaces," Management Science, INFORMS, vol. 56(5), pages 864-880, May.
    10. McCannon, Bryan C. & Minuci, Eduardo, 2020. "Shill bidding and trust," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    11. Andrey Fradkin & David Holtz, 2023. "Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb," Marketing Science, INFORMS, vol. 42(5), pages 853-865, September.

  6. Lingfang (Ivy) Li & Donald Saari, 2008. "Sen’s theorem: geometric proof, new interpretations," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 31(3), pages 393-413, October.

    Cited by:

    1. Piggins, Ashley & Salerno, Gillian, 2016. "Sen cycles and externalities," Economics Letters, Elsevier, vol. 149(C), pages 25-27.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EXP: Experimental Economics (2) 2010-05-08 2016-11-20
  2. NEP-MKT: Marketing (2) 2012-09-03 2016-09-18
  3. NEP-CBE: Cognitive and Behavioural Economics (1) 2009-08-30
  4. NEP-CDM: Collective Decision-Making (1) 2009-08-30
  5. NEP-COM: Industrial Competition (1) 2016-09-18
  6. NEP-CTA: Contract Theory and Applications (1) 2010-05-08
  7. NEP-ICT: Information and Communication Technologies (1) 2016-09-18
  8. NEP-IND: Industrial Organization (1) 2016-09-18
  9. NEP-SOC: Social Norms and Social Capital (1) 2010-05-08
  10. NEP-SOG: Sociology of Economics (1) 2016-09-18
  11. NEP-UPT: Utility Models and Prospect Theory (1) 2009-08-30

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