Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/f/pli387.html
   My authors  Follow this author

Jeffrey A. Livingston

Personal Details

First Name:Jeffrey
Middle Name:A.
Last Name:Livingston
Suffix:
RePEc Short-ID:pli387
http://works.bepress.com/jeffrey_livingston/
Bentley University Department of Economics 175 Forest Street Waltham, MA 02452
(781) 891-2538

Affiliation

Department of Economics
Bentley University

Waltham, Massachusetts (United States)
http://www.bentley.edu/economics/
RePEc:edi:debenus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Uri Gneezy & John A. List & Jeffrey A. Livingston & Sally Sadoff & Xiangdong Qin & Yang Xu, 2017. "Measuring Success in Education: The Role of Effort on the Test Itself," NBER Working Papers 24004, National Bureau of Economic Research, Inc.
  2. Patrick A. Scholten & Jeffrey A. Livingston & David Ortmeyer & Wilson Wong, 2008. "Empirically Testing for Indirect Network Externalities in the LCD Television Market," Working Papers 08-40, NET Institute, revised Nov 2008.

Articles

  1. Jeffrey A. Livingston, 2010. "The Behavior Of Inexperienced Bidders In Internet Auctions," Economic Inquiry, Western Economic Association International, vol. 48(2), pages 237-253, April.
  2. Jeffrey A. Livingston, 2005. "How Valuable Is a Good Reputation? A Sample Selection Model of Internet Auctions," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 453-465, August.

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. Uri Gneezy & John A. List & Jeffrey A. Livingston & Sally Sadoff & Xiangdong Qin & Yang Xu, 2017. "Measuring Success in Education: The Role of Effort on the Test Itself," NBER Working Papers 24004, National Bureau of Economic Research, Inc.

    Cited by:

    1. Danila Medvedev & Diag Davenport & Thomas Talhelm & Yin Li, 2024. "The motivating effect of monetary over psychological incentives is stronger in WEIRD cultures," Nature Human Behaviour, Nature, vol. 8(3), pages 456-470, March.
    2. Sarkar, Dipanwita & Sarkar, Jayanta & Dulleck, Uwe, 2024. "The effects of private and social incentives on students’ test-taking effort," Economic Modelling, Elsevier, vol. 135(C).
    3. Laajaj, Rachid & Moya, Andrés & Sánchez, Fabio, 2022. "Equality of opportunity and human capital accumulation: Motivational effect of a nationwide scholarship in Colombia," Journal of Development Economics, Elsevier, vol. 154(C).
    4. Majed Dodin & Sebastian Findeisen & Lukas Henkel & Dominik Sachs & Paul Schüle, 2021. "Social Mobility in Germany," CESifo Working Paper Series 9200, CESifo.
    5. Christian Belzil & Julie Pernaudet & François Poinas, 2021. "Estimating Coherency between Survey Data and Incentivized Experimental Data," CIRANO Working Papers 2021s-30, CIRANO.
    6. Francesca Borgonovi & Alessandro Ferrara & Mario Piacentini, 2020. "From asking to observing. Behavioural measures of socio-emotional and motivational skills in large-scale assessments," DoQSS Working Papers 20-19, Quantitative Social Science - UCL Social Research Institute, University College London.
    7. John List & Anya Samek & Dana Suskind, 2017. "Combining Behavioral Economics and Field Experiments to Reimagine Early Childhood Education," Artefactual Field Experiments 00595, The Field Experiments Website.
    8. Burgess, Simon & Metcalfe, Robert & Sadoff, Sally, 2021. "Understanding the response to financial and non-financial incentives in education: Field experimental evidence using high-stakes assessments," Economics of Education Review, Elsevier, vol. 85(C).
    9. Palacios-Abad, Alberto, 2021. "Strive to Succeed? The Role of Persistence in the Process of Educational Attainment," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 65(11), pages 1555-1576.
    10. Stefan, Matthias & Huber, Jürgen & Kirchler, Michael & Sutter, Matthias & Walzl, Markus, 2023. "Monetary and social incentives in multi-tasking: The ranking substitution effect," European Economic Review, Elsevier, vol. 156(C).
    11. Stefan, Matthias & Huber, Jürgen & Kirchler, Michael & Sutter, Matthias & Walzl, Markus, 2020. "Monetary and Social Incentives in Multi-Tasking: The Ranking Substitution Effect," IZA Discussion Papers 13345, Institute of Labor Economics (IZA).
    12. Noam Angrist & Peter Bergman & Moitshepi Matsheng, 2022. "Experimental evidence on learning using low-tech when school is out," Nature Human Behaviour, Nature, vol. 6(7), pages 941-950, July.
    13. Ballis, Briana & Lusher, Lester & Martorell, Paco, 2022. "The effects of exam frames on student effort and performance," Economics of Education Review, Elsevier, vol. 90(C).
    14. Lucas Gortazar, 2019. "¿Favorece el sistema educativo español la igualdad de oportunidades?," Studies on the Spanish Economy eee2019-17, FEDEA.
    15. Warabud Suppalarkbunlue & Sartja Duangchaiyoosook & Varunee Khruapradit & Weerachart Kilenthong, 2022. "Material Incentive Motivation and Working Memory Performance of Kindergartners: A Large-Scale Randomized Controlled Trial," PIER Discussion Papers 187, Puey Ungphakorn Institute for Economic Research.
    16. Makoto Shimoji, 2023. "Setting an exam as an information design problem," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(3), pages 559-579, September.
    17. Isaac Mbiti & Karthik Muralidharan & Mauricio Romero & Youdi Schipper & Constantine Manda & Rakesh Rajani, 2018. "Inputs, Incentives, and Complementarities in Education: Experimental Evidence from Tanzania," NBER Working Papers 24876, National Bureau of Economic Research, Inc.
    18. Pelin Akyol, 2021. "Comparison of Computer-based and Paper-based Exams: Evidence from PISA," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 35(2), pages 137-150.
    19. Germán Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," CRC TR 224 Discussion Paper Series crctr224_2023_490, University of Bonn and University of Mannheim, Germany.
    20. Yong Cai, 2021. "A Modified Randomization Test for the Level of Clustering," Papers 2105.01008, arXiv.org, revised Jan 2022.
    21. Sarah Gust & Eric A. Hanushek & Ludger Woessmann, 2023. "Global Universal Basic Skills: Current Deficits and Implications for World Development," Rationality and Competition Discussion Paper Series 373, CRC TRR 190 Rationality and Competition.
    22. de Hoyos, Rafael & Estrada, Ricardo & Vargas, María José, 2021. "What do test scores really capture? Evidence from a large-scale student assessment in Mexico," World Development, Elsevier, vol. 146(C).
    23. Hervé, Justine & Mani, Subha & Behrman, Jere R. & Laxminarayan, Ramanan & Nandi, Arindam, 2024. "Food Coma Is Real: The Effect of Digestive Fatigue on Adolescents' Cognitive Performance," IZA Discussion Papers 16909, Institute of Labor Economics (IZA).
    24. Iriberri, Nagore & Rey Biel, Pedro, 2019. "Brave Boys and Play-it-Safe Girls: Gender Differences in Willingness to Guess in a Large Scale Natural Field Experiment," CEPR Discussion Papers 13541, C.E.P.R. Discussion Papers.
    25. Englmaier, Florian & Grimm, Stefan & Grothe, Dominik & Schindler, David & Schudy, Simeon, 2024. "The effect of incentives in non-routine analytical team tasks," Other publications TiSEM 59dcd2ae-f55c-4f75-a225-f, Tilburg University, School of Economics and Management.
    26. List, John A. & Shah, Rohen, 2022. "The impact of team incentives on performance in graduate school: Evidence from two pilot RCTs," Economics Letters, Elsevier, vol. 221(C).
    27. Dorner, Zack & Lancsar, Emily, 2023. "Don’t pay the highly motivated too much," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    28. Hai-Anh Dang & Paul Glewwe & Khoa Vu & Jongwook Lee, 2021. "What Explains Vietnam’s Exceptional Performance in Education Relative to Other Countries? Analysis of the 2012 and 2015 PISA Data," Working Papers 580, ECINEQ, Society for the Study of Economic Inequality.
    29. Joshua J. Lewer & Colin Corbett & Tanya M. Marcum & Jannett Highfill, 2021. "Modeling Student Effort: Flat Tires and Dead Batteries," The American Economist, Sage Publications, vol. 66(2), pages 301-314, October.
    30. Ofek-Shanny, Yuval, 2024. "Measurements of performance gaps are sensitive to the level of test stakes: Evidence from PISA and a Field Experiment," Economics of Education Review, Elsevier, vol. 98(C).
    31. Yong Cai, 2021. "Some Finite Sample Properties of the Sign Test," Papers 2103.01412, arXiv.org, revised Feb 2024.
    32. Germ'an Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," Papers 2301.02575, arXiv.org.
    33. Filmer, Deon & Rogers, Halsey & Angrist, Noam & Sabarwal, Shwetlena, 2020. "Learning-adjusted years of schooling (LAYS): Defining a new macro measure of education," Economics of Education Review, Elsevier, vol. 77(C).
    34. Dang, Hai-Anh & Glewwe, Paul & Vu, Khoa & Lee, Jongwook, 2021. "What Explains Vietnam's Exceptional Performance in Education Relative to Other Countries? Analysis of the 2012 and 2015 PISA Data," GLO Discussion Paper Series 826, Global Labor Organization (GLO).
    35. Ş. Pelin Akyol & Kala Krishna & Jinwen Wang, 2018. "Taking PISA Seriously: How Accurate are Low Stakes Exams?," NBER Working Papers 24930, National Bureau of Economic Research, Inc.
    36. Wagner, Valentin, 2022. "Heterogeneous effects of grade framing," Labour Economics, Elsevier, vol. 74(C).
    37. Angrist, Noam & Bergman, Peter & Matsheng, Moitshepi, 2020. "School's Out: Experimental Evidence on Limiting Learning Loss Using "Low-Tech" in a Pandemic," IZA Discussion Papers 14009, Institute of Labor Economics (IZA).
    38. Bernal, Gloria L. & Penney, Jeffrey, 2019. "Scholarships and student effort: Evidence from Colombia’s Ser Pilo Paga program," Economics of Education Review, Elsevier, vol. 72(C), pages 121-130.
    39. Christian Posso & Estefanía Saravia & Pablo Uribe, 2023. "Acing the Test: Educational Effects of the SaberEs Test Preparation Program in Colombia," Borradores de Economia 1237, Banco de la Republica de Colombia.
    40. Gary Charness & John List & Aldo Rustichini & Anya Samek & Jeroen van de Ven, 2020. "Theory of Mind among Disadvantaged Children: Evidence from a Field Experiment," Framed Field Experiments 00686, The Field Experiments Website.
    41. Brunello, Giorgio & Kiss, David, 2022. "Math scores in high stakes grades," Economics of Education Review, Elsevier, vol. 87(C).
    42. Griselda, Silvia, 2024. "Gender gap in standardized tests: What are we measuring?," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 191-229.
    43. Brunello, Giorgio & Crema, Angela & Rocco, Lorenzo, 2018. "Some unpleasant consequences of testing at length," GLO Discussion Paper Series 286, Global Labor Organization (GLO).
    44. Sharafi, Zahra, 2023. "Poverty and perseverance: The detrimental effect of poverty on effort provision," Journal of Development Economics, Elsevier, vol. 162(C).
    45. Sirui Li & Philip Verwimp, 2024. "Standardized Testing for College Entrance: Evidence from a Major Examination Reform in China," Working Papers ECARES 2024-17, ULB -- Universite Libre de Bruxelles.
    46. John List & Jeffrey Livingston & Susanne Neckermann, 2018. "Do Financial Incentives Crowd Out Intrinsic Motivation to Perform on Standardized Tests?," Framed Field Experiments 00643, The Field Experiments Website.
    47. Brunello, Giorgio & Crema, Angela & Rocco, Lorenzo, 2018. "Testing at Length If It Is Cognitive or Non-Cognitive," IZA Discussion Papers 11603, Institute of Labor Economics (IZA).

Articles

  1. Jeffrey A. Livingston, 2010. "The Behavior Of Inexperienced Bidders In Internet Auctions," Economic Inquiry, Western Economic Association International, vol. 48(2), pages 237-253, April.

    Cited by:

    1. Liu, Kang Ernest & Shiu, Ji-Liang & Sun, Chia-Hung, 2013. "How different are consumers in Internet auction markets? Evidence from Japan and Taiwan," Japan and the World Economy, Elsevier, vol. 28(C), pages 1-12.
    2. Fabrizio Casalin & Enzo Dia, 2019. "Information and reputation mechanisms in auctions of remanufactured goods," Post-Print hal-02108121, HAL.
    3. Genti Kostandini & Elton Mykerezi & Eftila Tanellari & Nour Dib, 2011. "Does Buyer Experience Pay Off? Evidence from eBay," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 39(3), pages 253-265, November.
    4. Jeffrey A. Livingston & Patrick A. Scholten, 2019. "The Effect of ID Verification in Online Markets: Evidence from a Field Experiment," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(3), pages 595-615, May.
    5. Shiu, Ji-Liang & Sun, Chia-Hung D., 2014. "Modeling and estimating returns to seller reputation with unobserved heterogeneity in online auctions," Economic Modelling, Elsevier, vol. 40(C), pages 59-67.
    6. Bramsen, Jens-Martin, 2008. "Learning to bid, but not to quit – Experience and Internet auctions," MPRA Paper 14815, University Library of Munich, Germany.
    7. Wen Cao & Qinyang Sha & Zhiyong Yao & Dingwei Gu & Xiang Shao, 2019. "Sniping in soft-close online auctions: empirical evidence from overstock," Marketing Letters, Springer, vol. 30(2), pages 179-191, June.
    8. Chia-Hung D. Sun & Yi-Bin Chiu & Ming-Fei Hsu, 2016. "The Determinants Of Price In Online Auctions: More Evidence From Quantile Regression," Bulletin of Economic Research, Wiley Blackwell, vol. 68(3), pages 268-286, April.
    9. Cong Feng & Scott Fay & K. Sivakumar, 2016. "Overbidding in electronic auctions: factors influencing the propensity to overbid and the magnitude of overbidding," Journal of the Academy of Marketing Science, Springer, vol. 44(2), pages 241-260, March.

  2. Jeffrey A. Livingston, 2005. "How Valuable Is a Good Reputation? A Sample Selection Model of Internet Auctions," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 453-465, August.

    Cited by:

    1. Axel Ockenfels, 2008. "Marktdesign und Experimentelle Wirtschaftsforschung," Working Paper Series in Economics 41, University of Cologne, Department of Economics.
    2. Kusterer, David & Bolton, Gary & Mans, Johannes, 2016. "Inflated Reputations Uncertainty, Leniency & Moral Wiggle Room in Trader Feedback Systems," VfS Annual Conference 2016 (Augsburg): Demographic Change 145794, Verein für Socialpolitik / German Economic Association.
    3. Jianfu Shen & Frederik Pretorius & Xin Li, 2019. "Does Joint Bidding Reduce Competition? Evidence from Hong Kong Land Auctions," The Journal of Real Estate Finance and Economics, Springer, vol. 58(1), pages 111-132, January.
    4. Liu, Kang Ernest & Shiu, Ji-Liang & Sun, Chia-Hung, 2013. "How different are consumers in Internet auction markets? Evidence from Japan and Taiwan," Japan and the World Economy, Elsevier, vol. 28(C), pages 1-12.
    5. Weijia You & Hui Shu & Suyuan Luo, 2018. "Competition, cooperation, and performance: an empirical investigation of Chinese online sellers," Information Systems and e-Business Management, Springer, vol. 16(4), pages 743-760, November.
    6. Gürtler, Oliver & Grund, Christian, 2006. "The Effect of Reputation on Selling Prices in Auctions," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 114, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    7. 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.
    8. Grégory Jolivet & Bruno Jullien & Fabien Postel-Vinay, 2014. "Reputation and Pricing on the e-Market: Evidence from a Major French Platform," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03460312, HAL.
    9. Jason Aimone & Daniel Houser, 2008. "What You Don't Know Won't Hurt You: A Laboratory Analysis of Betrayal Aversion," Working Papers 1008, George Mason University, Interdisciplinary Center for Economic Science, revised Sep 2008.
    10. Luís Cabral & Ali Hortacsu, 2004. "The Dynamics of Seller Reputation: Theory and Evidence from eBay," Working Papers 04-05, New York University, Leonard N. Stern School of Business, Department of Economics.
    11. Fabrizio Casalin & Enzo Dia, 2019. "Information and reputation mechanisms in auctions of remanufactured goods," Post-Print hal-02108121, HAL.
    12. Genti Kostandini & Elton Mykerezi & Eftila Tanellari & Nour Dib, 2011. "Does Buyer Experience Pay Off? Evidence from eBay," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 39(3), pages 253-265, November.
    13. Patrick Bajari & Ali Hortaçsu, 2004. "Economic Insights from Internet Auctions," Journal of Economic Literature, American Economic Association, vol. 42(2), pages 457-486, June.
    14. Gary Bolton & Ben Greiner & Axel Ockenfels, 2013. "Engineering Trust: Reciprocity in the Production of Reputation Information," Management Science, INFORMS, vol. 59(2), pages 265-285, January.
    15. 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.
    16. Ji-Liang Shiu & Chia-Hung D. Sun, 2014. "The determinants of price in online auctions: more evidence from unbalanced panel data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(2), pages 382-392, February.
    17. Chen, Jong-Rong & Chen, Kong-Pin & Chou, Chien-Fu & Huang, Ching-I, 2006. "A dynamic model of auctions with buy-it-now: theory and evidence," MPRA Paper 38371, University Library of Munich, Germany, revised 24 Nov 2011.
    18. Chen, Kong-Pin & Liu, Yu-Sheng & Yu, Ya-Ting, 2012. "The Seller's listing strategy in online auctions: evidence from eBay," MPRA Paper 38369, University Library of Munich, Germany.
    19. Jolivet, Grégory & Jullien, Bruno & Postel-Vinay, Fabien, 2016. "Reputation and prices on the e-market: Evidence from a major French platform," International Journal of Industrial Organization, Elsevier, vol. 45(C), pages 59-75.
    20. Jeffrey A. Livingston & Patrick A. Scholten, 2019. "The Effect of ID Verification in Online Markets: Evidence from a Field Experiment," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(3), pages 595-615, May.
    21. Luís Cabral & Ali Hortaçsu, 2010. "The Dynamics Of Seller Reputation: Evidence From Ebay," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.
    22. 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.
    23. McCluskey, Jill J. & Winfree, Jason A., 2017. "Collective Reputation in Online Platforms and Private Quality Standards," 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania 266302, Agricultural and Applied Economics Association.
    24. Michael Luca & Oren Reshef, 2020. "The Effect of Price on Firm Reputation," NBER Working Papers 27405, National Bureau of Economic Research, Inc.
    25. Marianne Lumeau & David Masclet & Thierry Pénard, 2015. "Reputation and social (dis)approval in feedback mechanisms: An experimental study," Post-Print halshs-01116889, HAL.
    26. 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.
    27. Shiu, Ji-Liang & Sun, Chia-Hung D., 2014. "Modeling and estimating returns to seller reputation with unobserved heterogeneity in online auctions," Economic Modelling, Elsevier, vol. 40(C), pages 59-67.
    28. Jeffrey A. Livingston, 2010. "The Behavior Of Inexperienced Bidders In Internet Auctions," Economic Inquiry, Western Economic Association International, vol. 48(2), pages 237-253, April.
    29. Anindya Ghose, 2005. "Used Good Trade Patterns: A Cross-Country Comparison of Electronic Secondary Markets," Working Papers 05-19, NET Institute, revised Oct 2005.
    30. Abraham, Martin & Grimm, Veronika & Neeß, Christina & Seebauer, Michael, 2016. "Reputation formation in economic transactions," Journal of Economic Behavior & Organization, Elsevier, vol. 121(C), pages 1-14.
    31. Pownall, Rachel A.J. & Wolk, Leonard, 2013. "Bidding behavior and experience in internet auctions," European Economic Review, Elsevier, vol. 61(C), pages 14-27.
    32. Hortacsu, Ali, 2005. "Trust and Reputation on eBay: Micro and Macro Perspectives," Department of Economics, Working Paper Series qt8vj7d50q, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    33. Gary Bolton & Ben Greiner & Axel ockenfels, 2015. "Conflict resolution vs. conflict escalation in online markets," Discussion Papers 2015-19, School of Economics, The University of New South Wales.
    34. Hammond, Robert G., 2010. "Comparing revenue from auctions and posted prices," International Journal of Industrial Organization, Elsevier, vol. 28(1), pages 1-9, January.
    35. Bruno Jullien & In-Uck Park, 2009. "Seller Reputation and Trust in Pre-Trade Communication," Levine's Working Paper Archive 814577000000000330, David K. Levine.
    36. Anderson, Steven & Friedman, Daniel & Milam, Garrett & Singh, Nirvikar, 2007. "Seller strategies on eBay: Does size matter?," MPRA Paper 4324, University Library of Munich, Germany.
    37. Graevenitz, Georg von, 2007. "Which Reputations Does a Brand Owner Need? Evidence from Trade Mark Opposition," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 215, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    38. Ravi Subramanian & Ramanath Subramanyam, 2012. "Key Factors in the Market for Remanufactured Products," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 315-326, April.
    39. 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.
    40. Jason Kuruzovich & Hila Etzion, 2018. "Online Auctions and Multichannel Retailing," Management Science, INFORMS, vol. 64(6), pages 2734-2753, June.
    41. Sun, Chia-Hung & Hsu, Ming-Fei, 2007. "The Determinants of Price in Online Auctions: More Evidence from Quantile Regression," Economics Working Papers wp07-18, School of Economics, University of Wollongong, NSW, Australia.
    42. 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.
    43. Kevin Hasker & Robin Sickles, 2010. "eBay in the Economic Literature: Analysis of an Auction Marketplace," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 37(1), pages 3-42, August.
    44. Hammond, Robert G., 2013. "A structural model of competing sellers: Auctions and posted prices," European Economic Review, Elsevier, vol. 60(C), pages 52-68.
    45. Matthew R. Backus & Joseph Uri Podwol & Henry S. Schneider, 2013. "Search Costs and Equilibrium Price Dispersion in Auction Markets," EAG Discussions Papers 201302, Department of Justice, Antitrust Division.
    46. Klein, T.J. & Lambertz, C. & Stahl, K., 2013. "Adverse Selection and Moral Hazard in Anonymous Markets," Discussion Paper 2013-032, Tilburg University, Center for Economic Research.
    47. Greiff, Matthias & Paetzel, Fabian, 2020. "Information about average evaluations spurs cooperation: An experiment on noisy reputation systems," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 334-356.
    48. Resnick, Paul & Zeckhauser, Richard & Swanson, John & Lockwood, Kate, 2003. "The Value of Reputation on eBay: A Controlled Experiment," Working Paper Series rwp03-007, Harvard University, John F. Kennedy School of Government.
    49. Michael Luca & Oren Reshef, 2021. "The Effect of Price on Firm Reputation," Management Science, INFORMS, vol. 67(7), pages 4408-4419, July.
    50. Kong-Pin Chen & Hung-pin Lai & Ya-Ting Yu, 2014. "Do consumers discount parallel imports?," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 21(1), pages 58-77, March.
    51. Onur, Ilke & Velamuri, Malathi, 2014. "Competition, endogeneity and the winning bid: An empirical analysis of eBay auctions," Information Economics and Policy, Elsevier, vol. 26(C), pages 68-74.
    52. Chia-Hung D. Sun & Yi-Bin Chiu & Ming-Fei Hsu, 2016. "The Determinants Of Price In Online Auctions: More Evidence From Quantile Regression," Bulletin of Economic Research, Wiley Blackwell, vol. 68(3), pages 268-286, April.
    53. 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.
    54. Huang, Ching-I & Chen, Jong-Rong & Lee, Chiu-Yu, 2013. "Buyer behavior under the Best Offer mechanism: A theoretical model and empirical evidence from eBay Motors," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 11-33.
    55. Paul A. Pavlou & Angelika Dimoka, 2006. "The Nature and Role of Feedback Text Comments in Online Marketplaces: Implications for Trust Building, Price Premiums, and Seller Differentiation," Information Systems Research, INFORMS, vol. 17(4), pages 392-414, December.
    56. Mariusz Górajski & Dominika Machowska, 2019. "How do loyalty programs affect goodwill? An optimal control approach," 4OR, Springer, vol. 17(3), pages 297-316, September.
    57. Thomas J. Miles, 2015. "Do Attorney Surveys Measure Judicial Performance or Respondent Ideology? Evidence from Online Evaluations," The Journal of Legal Studies, University of Chicago Press, vol. 44(S1), pages 231-267.
    58. Zhong, Jiatong, 2022. "Reputation of Quality in International Trade: Evidence from Consumer Product Recalls," Working Papers 2022-8, University of Alberta, Department of Economics.
    59. Chia-Hung Sun & Kang Liu, 2010. "Information asymmetry and small business in online auction market," Small Business Economics, Springer, vol. 34(4), pages 433-444, May.
    60. 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.
    61. Philipp Maier, 2010. "An Analysis Of International Price Differentials On Ebay," Contemporary Economic Policy, Western Economic Association International, vol. 28(3), pages 307-321, July.
    62. Podwol, Joseph Uri & Schneider, Henry S., 2016. "Nonstandard bidder behavior in real-world auctions," European Economic Review, Elsevier, vol. 83(C), pages 198-212.
    63. Zemin (Zachary) Zhong, 2022. "Chasing Diamonds and Crowns: Consumer Limited Attention and Seller Response," Management Science, INFORMS, vol. 68(6), pages 4380-4397, June.
    64. Fernando, Chitru S. & Gatchev, Vladimir A. & May, Anthony D. & Megginson, William L., 2015. "Prestige without purpose? Reputation, differentiation, and pricing in U.S. equity underwriting," Journal of Corporate Finance, Elsevier, vol. 32(C), pages 41-63.
    65. Chen, Liyun, 2009. "What do we pay for asymmetric information? The evolution of mechanisms in online markets," MPRA Paper 22506, University Library of Munich, Germany.
    66. Patrick Bajari & Ali Hortacsu, 2003. "Economic Insights from Internet Auctions: A Survey," NBER Working Papers 10076, National Bureau of Economic Research, Inc.
    67. 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.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 2 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-CUL: Cultural Economics (1) 2008-11-11
  2. NEP-EDU: Education (1) 2017-11-26
  3. NEP-EXP: Experimental Economics (1) 2017-11-26
  4. NEP-HRM: Human Capital and Human Resource Management (1) 2017-11-26
  5. NEP-IND: Industrial Organization (1) 2008-11-11
  6. NEP-NET: Network Economics (1) 2008-11-11
  7. NEP-URE: Urban and Real Estate Economics (1) 2017-11-26

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Jeffrey A. Livingston should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.