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Jason Shachat

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Youting Guo & Jason Shachat & Matthew J. Walker & Lijia Wei, 2020. "Viral Social Media Videos Can Raise Pro-Social Behaviours When an Epidemic Arises," Working Papers 20-15, Chapman University, Economic Science Institute.

    Mentioned in:

    1. 42. Selected Data of Coronavirus in Spain, United States, Europe, America and other areas, year 2020: Statistics of Cases and Hospital beds
      by MCG Blogs de Economía in Euro-American Association: World Development on 2020-05-12 09:25:00

Working papers

  1. Yan Peng & Jason Shachat & Lijia Wei & S. Sarah Zhang, 2020. "Speed Traps: Algorithmic Trader Performance Under Alternative Market Structures," Working Papers 20-39, Chapman University, Economic Science Institute.

    Cited by:

    1. Corgnet, Brice & DeSantis, Mark & Siemroth, Christoph, 2023. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," Economics Discussion Papers 36273, University of Essex, Department of Economics.
    2. Bao, Te, 2022. "Comments on “the role of information in a continuous double auction: An experiment and learning model” by Mikhail Anufriev, Jasmina Arifovic, John Ledyard and Valentyn Panchenko," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    3. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2023. "Arbitrage bots in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 262-278.

  2. Youting Guo & Jason Shachat & Matthew J. Walker & Lijia Wei, 2020. "Viral Social Media Videos Can Raise Pro-Social Behaviours When an Epidemic Arises," Working Papers 20-15, Chapman University, Economic Science Institute.

    Cited by:

    1. Hamza Umer, 2024. "Covid-19 and altruism: a meta-analysis of dictator games," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(1), pages 35-60, February.

  3. Jason Shachat & Matthew J. Walker & Lijia Wei, 2020. "The Impact of the Covid-19 Pandemic on Economic Behaviours and Preferences: Experimental Evidence from Wuhan," Working Papers 20-33, Chapman University, Economic Science Institute.

    Cited by:

    1. Andreas C. Drichoutis & Rodolfo M. Nayga, 2022. "On the stability of risk and time preferences amid the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 759-794, June.
    2. Abed Rabbani & Wookjae Heo & John E. Grable, 2021. "The role of financial literacy in describing the use of professional financial advisors before and during the COVID-19 pandemic," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(4), pages 226-236, December.
    3. Huber, Christoph & Huber, Juergen & Kirchler, Michael, 2020. "Market shocks and professionals' investment behavior – Evidence from the COVID-19 crash," OSF Preprints fgxpb, Center for Open Science.
    4. Castillo, Jose Gabriel & Hernandez, Manuel A., 2023. "The unintended consequences of confinement: Evidence from the rural area in Guatemala," Journal of Economic Psychology, Elsevier, vol. 95(C).
    5. Blanco, Esther & Baier, Alexandra & Holzmeister, Felix & Jaber-Lopez, Tarek & Struwe, Natalie, 2022. "Substitution of social sustainability concerns under the Covid-19 pandemic," Ecological Economics, Elsevier, vol. 192(C).
    6. Irene Mussio & Maximiliano Sosa Andrés & Abdul H Kidwai, 2023. "Higher order risk attitudes in the time of COVID-19: an experimental study," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 163-182.
    7. Jeworrek, Sabrina & Waibel, Joschka, 2021. "Alone at home: The impact of social distancing on norm-consistent behavior," IWH Discussion Papers 8/2021, Halle Institute for Economic Research (IWH).
    8. Bu, Di & Hanspal, Tobin & Liao, Yin & Liu, Yong, 2021. "Risk taking, preferences, and beliefs: Evidence from Wuhan," SAFE Working Paper Series 301, Leibniz Institute for Financial Research SAFE.
    9. Schunk, Daniel & Wagner, Valentin, 2021. "What determines the willingness to sanction violations of newly introduced social norms: Personality traits or economic preferences? evidence from the COVID-19 crisis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    10. Petersen, Luba & Rholes, Ryan, 2022. "Macroeconomic expectations, central bank communication, and background uncertainty: A COVID-19 laboratory experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    11. Daniel Schunk & Valentin Wagner, 2020. "What Determines the Enforcement of Newly Introduced Social Norms: Personality Traits or Economic Preferences? Evidence from the COVID-19 Crisis," Working Papers 2024, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    12. Zexuan Wang & Ismaël Rafaï & Marc Willinger, 2023. "Does age affect the relation between risk and time preferences? Evidence from a representative sample," Post-Print hal-04217414, HAL.
    13. Li, Jingping & Zheng, Jin Di, 2023. "Pro-social preferences and risk aversion with different payment methods: Evidence from the laboratory," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 324-337.
    14. Lin Li, 2023. "Investigating risk assessment in post-pandemic household cryptocurrency investments: an explainable machine learning approach," Journal of Asset Management, Palgrave Macmillan, vol. 24(4), pages 255-267, July.

  4. Tibor Neugebauer & Jason Shachat & Wiebke Szymczak, 2020. "A test of the Modigliani-Miller theorem, dividend policy and algorithmic arbitrage in experimental asset markets," Working Papers 20-14, Chapman University, Economic Science Institute.

    Cited by:

    1. Corgnet, Brice & DeSantis, Mark & Siemroth, Christoph, 2023. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," Economics Discussion Papers 36273, University of Essex, Department of Economics.

  5. Shachat, Jason & Pan, Jinrui & Wei, Sijia, 2019. "Cognitive reflection and economic order quantity inventory management: An experimental investigation," MPRA Paper 92554, University Library of Munich, Germany.

    Cited by:

    1. Jinrui Pan & Jason Shachat & Sijia Wei, 2022. "Cognitive Stress and Learning Economic Order Quantity Inventory Management: An Experimental Investigation," Decision Analysis, INFORMS, vol. 19(3), pages 229-254, September.
    2. Pan, Jinrui & Shachat, Jason & Wei, Sijia, 2018. "Cognitive stress and learning Economic Order Quantity (EOQ) inventory management: An experimental investigation," MPRA Paper 93214, University Library of Munich, Germany.
    3. Yuan Jiang & Xu Guan & Yao Tang & Simiao Chen, 2022. "Strategic stocking for new products to signal quality information," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 65-83, January.

  6. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2019. "Arbitrage bots in experimental asset markets," MPRA Paper 96224, University Library of Munich, Germany.

    Cited by:

    1. Corgnet, Brice & DeSantis, Mark & Siemroth, Christoph, 2023. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," Economics Discussion Papers 36273, University of Essex, Department of Economics.
    2. Tibor Neugebauer & Jason Shachat & Wiebke Szymczak, 2020. "A test of the Modigliani-Miller theorem, dividend policy and algorithmic arbitrage in experimental asset markets," Working Papers 20-14, Chapman University, Economic Science Institute.
    3. Lambrecht, Marco & Sofianos, Andis & Xu, Yilong, 2021. "Does mining fuel bubbles? An experimental study on cryptocurrency markets," Working Papers 0703, University of Heidelberg, Department of Economics.
    4. Arturo Macias, 2022. "Capital structure irrelevance in the laboratory: an experiment with complete and asymmetric information," Experimental Economics, Springer;Economic Science Association, vol. 25(5), pages 1418-1440, November.

  7. Peter, Bossaerts & Jason, Shachat & Kuangli, Xie, 2018. "Arbitrage Opportunities: Anatomy and Remediation," MPRA Paper 87273, University Library of Munich, Germany.

    Cited by:

    1. Tibor Neugebauer & Jason Shachat & Wiebke Szymczak, 2020. "A test of the Modigliani-Miller theorem, dividend policy and algorithmic arbitrage in experimental asset markets," Working Papers 20-14, Chapman University, Economic Science Institute.
    2. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2023. "Arbitrage bots in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 262-278.

  8. Heinrich, Timo & Shachat, Jason, 2018. "The development of risk aversion and prudence in Chinese children and adolescents," MPRA Paper 86456, University Library of Munich, Germany.

    Cited by:

    1. Douadia Bougherara & Lana Friesen & Céline Nauges, 2021. "Risk Taking and Skewness Seeking Behavior in a Demographically Diverse Population," Discussion Papers Series 650, School of Economics, University of Queensland, Australia.
    2. Mayrhofer, Thomas & Schmitz, Hendrik, 2020. "Prudence and prevention: Empirical evidence," Ruhr Economic Papers 863, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Kettlewell, Nathan & Tymula, Agnieszka & Yoo, Hong Il, 2023. "The Heritability of Economic Preferences," IZA Discussion Papers 16633, Institute of Labor Economics (IZA).
    4. Cui, Xuegang & Feltovich, Nick & Zhang, Kun, 2022. "Incentive schemes, framing, and market behaviour: Evidence from an asset-market experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 301-324.
    5. Etienne Dagorn & David Masclet & Thierry Penard, 2019. "Les expériences sur les préférences individuelles et sociales des enfants et des adolescents : une revue de la litterature," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 2019-11, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    6. Saeid Homayoun & Vahid Molla Imeny & Mahdi Salehi & Mahdi Moradi & Simon Norton, 2022. "Which Is More Concerning for Accounting Professionals-Personal Risk or Professional Risk?," Sustainability, MDPI, vol. 14(22), pages 1-13, November.
    7. Zexuan Wang & Ismaël Rafaï & Marc Willinger, 2023. "Does age affect the relation between risk and time preferences? Evidence from a representative sample," Post-Print hal-04217414, HAL.
    8. Schneider, Sebastian O. & Sutter, Matthias, 2020. "Higher Order Risk Preferences: Experimental Measures, Determinants and Related Field Behavior," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224643, Verein für Socialpolitik / German Economic Association.
    9. Fairley, Kim & Sanfey, Alan G., 2020. "The role of demographics on adolescents’ preferences for risk, ambiguity, and prudence," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 784-796.
    10. Matteo Benuzzi & Matteo Ploner, 2023. "Skewness-seeking behavior and financial investments," CEEL Working Papers 2301, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    11. Trautmann, Stefan T. & Kuilen, Gijs van de, 2018. "Higher order risk attitudes: A review of experimental evidence," European Economic Review, Elsevier, vol. 103(C), pages 108-124.

  9. Pan, Jinrui & Shachat, Jason & Wei, Sijia, 2018. "Cognitive stress and learning Economic Order Quantity (EOQ) inventory management: An experimental investigation," MPRA Paper 86221, University Library of Munich, Germany.

    Cited by:

    1. Timo Heinrich, 2019. "Discussion of “Consequences of Unfair Job Promotions in Organizations”," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(1), pages 27-33, February.
    2. Jinrui Pan & Jason Shachat & Sijia Wei, 2020. "Cognitive reflection and economic order quantity inventory management: An experimental investigation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 998-1009, September.

  10. Shachat, Jason & Geng, Sen & Peng, Yujia & Zhong, Huizhen, 2014. "Adolescents, Cognitive Ability, and Minimax Play," MPRA Paper 57710, University Library of Munich, Germany.

    Cited by:

    1. Kenta Tanaka & Keisaku Higashida & Arvin Vista & Anton Setyo Nugroho & Budi Muhamad Ruslan, 2016. "Do resource depletion experiences affect social cooperative preferences? Analysis using field experimental data on fishers in the Philippines and Indonesia," Discussion Paper Series 143, School of Economics, Kwansei Gakuin University, revised Jun 2016.
    2. Duffy, Sean & Naddeo, JJ & Owens, David & Smith, John, 2016. "Cognitive load and mixed strategies: On brains and minimax," MPRA Paper 71878, University Library of Munich, Germany.
    3. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2014. "Serial correlation in National Football League play calling and its effects on outcomes," MPRA Paper 67862, University Library of Munich, Germany.
    4. Heifetz, Aviad & Heller, Ruth & Ostreiher, Roni, 2021. "Do Arabian babblers play mixed strategies in a “volunteer’s dilemma”?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 91(C).
    5. Heinrich, Timo & Shachat, Jason, 2018. "The development of risk aversion and prudence in Chinese children and adolescents," MPRA Paper 86456, University Library of Munich, Germany.
    6. Brañas-Garza, Pablo & Smith, John, 2016. "Cognitive abilities and economic behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 1-4.

  11. Shachat, Jason & Wang, Hang, 2014. "Are You Experienced?," MPRA Paper 57672, University Library of Munich, Germany.

    Cited by:

    1. Palan, Stefan & Stöckl, Thomas, 2017. "When chasing the offender hurts the victim: The case of insider legislation," Journal of Financial Markets, Elsevier, vol. 35(C), pages 104-129.
    2. Kleinlercher, Daniel & Stöckl, Thomas, 2021. "Thou shalt not trade—An analysis of the violations of no-trade predictions in experimental asset markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).

  12. Jun Gu & Ingrid Nielsen & Jason Shachat & Russell Smyth & Yujia Peng, 2014. "An experimental study of the effects of intergroup contact on attitudes in urban China," Monash Economics Working Papers 28-14, Monash University, Department of Economics.

    Cited by:

    1. An Huang & Paulo Santos & Russell Smyth, 2023. "Paddy and Prejudice: Evidence on the Agricultural Origins of Prejudice from China and 12 other Asian Societies," Monash Economics Working Papers 2023-02, Monash University, Department of Economics.
    2. Zhilin Liu & Yiming Tan & Yanwei Chai, 2020. "Neighbourhood-scale public spaces, inter-group attitudes and migrant integration in Beijing, China," Urban Studies, Urban Studies Journal Limited, vol. 57(12), pages 2491-2509, September.
    3. Heinrich, Timo & Shachat, Jason, 2018. "The development of risk aversion and prudence in Chinese children and adolescents," MPRA Paper 86456, University Library of Munich, Germany.
    4. Maiti, Surya Nath & Pakrashi, Debayan & Saha, Sarani & Smyth, Russell, 2020. "Don’t judge a book by its cover: The role of intergroup contact in reducing prejudice in conflict settings," GLO Discussion Paper Series 549, Global Labor Organization (GLO).
    5. Sen Xue, 2018. "Does contact improve attitudes towards migrants in China? : Evidence from urban residents," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 149-200, April.
    6. Cheng, Zhiming & Smyth, Russell, 2021. "Education and migrant entrepreneurship in urban China," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 506-529.
    7. Jun Gu & Annika Mueller & Ingrid Nielsen & Jason Shachat & Russell Smyth, 2015. "An experimental study of contact effects and their persistence on Malawian shopkeepers’ willingness to spend future time with their Chinese counterparts," Monash Economics Working Papers 04-15, Monash University, Department of Economics.

  13. Jason Shachat & J. Todd Swarthout, 2013. "Auctioning the right to play ultimatum games and the impact on equilibrium selection," Experimental Economics Center Working Paper Series 2013-01, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.

    Cited by:

    1. Drouvelis, Michalis & Sonnemans, Joep, 2017. "The endowment effect in games," European Economic Review, Elsevier, vol. 94(C), pages 240-262.
    2. Duk Gyoo Kim & Sang‐Hyun Kim, 2022. "Multilateral bargaining with proposer selection contest," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(1), pages 38-73, February.
    3. Choo, Lawrence & Zhou, Xiaoyu, 2019. "Can market competition reduce anomalous behaviours," FAU Discussion Papers in Economics 08/2019, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    4. Ambec, Stefan & Garapin, Alexis & Muller, Laurent & Rahali, Bilel, 2019. "How institutions shape individual motives for efficiency and equity: Evidence from distribution experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 81(C), pages 128-138.
    5. Choo, Lawrence & Kaplan, Todd R. & Zhou, Xiaoyu, 2019. "Can auctions select people by their level-k types?," MPRA Paper 95987, University Library of Munich, Germany.
    6. Choo, Lawrence, 2016. "Market competition for decision rights: An experiment based on the “Hat Puzzle Problem”," MPRA Paper 73408, University Library of Munich, Germany.
    7. Fischer, Christian & Normann, Hans-Theo, 2018. "Collusion and bargaining in asymmetric Cournot duopoly: An experiment," DICE Discussion Papers 283, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE), revised 2018.
    8. Choo, Lawrence & Zhou, Xiaoyu, 2022. "Can market selection reduce anomalous behaviour in games?," European Economic Review, Elsevier, vol. 141(C).
    9. Merkel, Anna & Vanberg, Christoph, 2023. "Multilateral bargaining with subjective claims under majority vs. unanimity rule: An experiment," Journal of Economic Psychology, Elsevier, vol. 95(C).

  14. Jason Shachat & Lijia Tan, 2012. "An experimental investigation of auctions and bargaining in procurement," Working Papers 1203, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 17 Oct 2012.

    Cited by:

    1. Shachat, Jason & Tan, Lijia, 2023. "How auctioneers set reserve prices in procurement auctions," European Journal of Operational Research, Elsevier, vol. 304(2), pages 709-728.
    2. Fabian Herweg & Marco A. Schwarz, 2016. "Optimal Cost Overruns: Procurement Auctions and Renegotiation," CESifo Working Paper Series 5838, CESifo.
    3. Vitali Gretschko & Martin Pollrich, 2022. "Incomplete Contracts in Multi-period Procurement," Management Science, INFORMS, vol. 68(7), pages 5146-5161, July.
    4. Herweg, Fabian & Schwarz, Marco A., 2017. "Optimal Cost Overruns: Procurement Auctions with Renegotiation," Rationality and Competition Discussion Paper Series 56, CRC TRR 190 Rationality and Competition.
    5. Matthew J. Walker & Elena Katok & Jason Shachat, 2020. "Trust and Trustworthiness in Procurement Contracts with Retainage," Working Papers 20-34, Chapman University, Economic Science Institute.
    6. Shachat, Jason & Tan, Lijia, 2019. "How Auctioneers Set Ex-Ante and Ex-Post Reserve Prices in English Auctions," MPRA Paper 96225, University Library of Munich, Germany.
    7. Kris De Jaegher & Michal Soltes & Vitezslav Titl, 2023. "Easing Renegotiation Rules in Public Procurement: Evidence from a Policy Reform," CERGE-EI Working Papers wp757, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

  15. Jason Shachat & J. Todd Swarthout & Lijia Wei, 2012. "A hidden Markov model for the detection of pure and mixed strategy play in games," Experimental Economics Center Working Paper Series 2012-11, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.

    Cited by:

    1. Duffy, Sean & Naddeo, JJ & Owens, David & Smith, John, 2016. "Cognitive load and mixed strategies: On brains and minimax," MPRA Paper 71878, University Library of Munich, Germany.
    2. Knut Lehre Seip & Øyvind Grøn, 2016. "Leading the Game, Losing the Competition: Identifying Leaders and Followers in a Repeated Game," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-16, March.

  16. Jason Shachat & Zhenxuan Zhang, 2012. "The Hayek hypothesis and long run competitive equilibrium: an experimental investigation," Working Papers 1201, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 29 Jun 2013.

    Cited by:

    1. Jinrui Pan & Jason Shachat & Sijia Wei, 2022. "Cognitive Stress and Learning Economic Order Quantity Inventory Management: An Experimental Investigation," Decision Analysis, INFORMS, vol. 19(3), pages 229-254, September.
    2. Jinrui Pan & Jason Shachat & Sijia Wei, 2020. "Cognitive reflection and economic order quantity inventory management: An experimental investigation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 998-1009, September.
    3. Pan, Jinrui & Shachat, Jason & Wei, Sijia, 2018. "Cognitive stress and learning Economic Order Quantity (EOQ) inventory management: An experimental investigation," MPRA Paper 93214, University Library of Munich, Germany.
    4. Konstantinos Georgalos & John Hey, 2020. "Testing for the emergence of spontaneous order," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 912-932, September.
    5. Manahov, Viktor & Hudson, Robert & Hoque, Hafiz, 2015. "Return predictability and the ‘wisdom of crowds’: Genetic Programming trading algorithms, the Marginal Trader Hypothesis and the Hayek Hypothesis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 85-98.
    6. Christian A. Conrad, 2022. "The Effects of Demand and Interest Rates on Investments, Evidence of Overinvestment from Two Behavioral Experiments," Applied Economics and Finance, Redfame publishing, vol. 9(1), pages 19-28, December.

  17. Jason Shachat & Anand Srinivasan, 2011. "Informational Price Cascades and Non-aggregation of Asymmetric Information in Experimental Asset Markets," Working Papers 1102, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 14 Apr 2011.

    Cited by:

    1. Park, Andreas & Sgroi, Daniel, 2016. "Herding and Contrarian Behavior in Financial Markets: An Experimental Analysis," Economic Research Papers 269716, University of Warwick - Department of Economics.
    2. Paul J. Healy & John Conlon & Yeochang Yoon, 2016. "Information Cascades with Informative Ratings: An Experimental Test," Working Papers 16-05, Ohio State University, Department of Economics.
    3. Yang, Xiaolan & Gao, Mei & Wu, Yun & Jin, Xuejun, 2018. "Performance evaluation and herd behavior in a laboratory financial market," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 45-54.

  18. Jason Shachat & J. Todd Swarthout & Lijia Wei, 2011. "Man versus Nash An experiment on the self-enforcing nature of mixed strategy equilibrium," Working Papers 1101, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 21 Feb 2011.

    Cited by:

    1. Jason Shachat & J. Todd Swarthout, 2002. "Learning about Learning in Games through Experimental Control of Strategic Interdependence," Experimental Economics Center Working Paper Series 2006-17, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Aug 2008.
    2. Michael William Gmeiner, 2019. "History-Dependent Mixed Strategies: Evidence From Major League Baseball," Journal of Sports Economics, , vol. 20(3), pages 371-398, April.

  19. Jason Shachat, 2009. "Procuring Commodities: First Price Sealed Bid or English Auction?," Working Papers 0901, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 26 Apr 2010.

    Cited by:

    1. Jason Shachat & Lijia Tan, 2012. "An experimental investigation of auctions and bargaining in procurement," Working Papers 1203, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 17 Oct 2012.
    2. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    3. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
    4. Julie Le Gallo & Karine Brisset & Francois Cochard, 2015. "Secret versus public reserve price in an “outcry” English procurement auction: Experimental results," Post-Print hal-03282276, HAL.
    5. Grundl, Serafin & Zhu, Yu, 2023. "Robust inference in first-price auctions: Overbidding as an identifying restriction," Journal of Econometrics, Elsevier, vol. 235(2), pages 484-506.
    6. He, Haoran & Chen, Yefeng & Last Name, First Name, 2014. "Auction Mechanisms for Allocating Subsidies for Carbon Emissions Reduction: An Experimental Investigation," RFF Working Paper Series dp-14-06-efd, Resources for the Future.
    7. Jan Niederreiter, 2023. "Broadening Economics in the Era of Artificial Intelligence and Experimental Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 265-294, March.
    8. Antonello Maruotti & Jan Bulla & Tanya Mark, 2019. "Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 19-42, April.
    9. Francesco Fallucchi & Andrea Mercatanti & Jan Niederreiter, 2021. "Identifying types in contest experiments," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(1), pages 39-61, March.
    10. Jason Shachat & Lijia Wei, 2013. "Discrete Rule Learning and the Bidding of the Sexes," Working Papers 1302, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 02 Jul 2013.
    11. Serafin J. Grundl & Yu Zhu, 2019. "Robust Inference in First-Price Auctions : Experimental Findings as Identifying Restrictions," Finance and Economics Discussion Series 2019-006, Board of Governors of the Federal Reserve System (U.S.).
    12. Philippe Gillen & Alexander Rasch & Achim Wambach & Peter Werner, 2016. "Bid pooling in reverse multi-unit Dutch auctions: an experimental investigation," Theory and Decision, Springer, vol. 81(4), pages 511-534, November.
    13. Yili Hong & Chong (Alex) Wang & Paul A. Pavlou, 2016. "Comparing Open and Sealed Bid Auctions: Evidence from Online Labor Markets," Information Systems Research, INFORMS, vol. 27(1), pages 49-69, March.
    14. Paulo Fagandini & Ingemar Dierickx, 2023. "Computing Profit-Maximizing Bid Shading Factors in First-Price Sealed-Bid Auctions," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1009-1035, March.

  20. Shachat, Jason, 2009. "Procuring Commodities: Request for Quote or Reverse Auctions?," MPRA Paper 13418, University Library of Munich, Germany.

    Cited by:

    1. Jason Shachat & Lijia Tan, 2012. "An experimental investigation of auctions and bargaining in procurement," Working Papers 1203, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 17 Oct 2012.
    2. Karine Brisset & François Cochard & François Maréchal, 2012. "The Value of a Right of First Refusal Clause in a Procurement First-Price Auction," Working Papers 2012-03, CRESE.

  21. Steven Gjerstad & Jason M. Shachat, 2007. "Individual Rationality and Market Efficiency," Purdue University Economics Working Papers 1204, Purdue University, Department of Economics.

    Cited by:

    1. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2011. "Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 5-28, Springer.
    2. Giuseppe Attanasi & Samuele Centorrino & Ivan Moscati, 2011. "Double Auction Equilibrium and Efficiency in a Classroom Experimental Search Market," LERNA Working Papers 11.03.337, LERNA, University of Toulouse.
    3. Junhuan Zhang & Peter McBurney & Katarzyna Musial, 2018. "Convergence of trading strategies in continuous double auction markets with boundedly-rational networked traders," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 301-352, January.
    4. Brewer, Paul & Ratan, Anmol, 2019. "Profitability, efficiency, and inequality in double auction markets with snipers," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 486-499.
    5. Ross M. Miller, 2012. "The Effect Of Boundary Conditions On Efficiency And Pricing In Double‐Auction Markets With Zero‐Intelligence Agents," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(3), pages 179-188, July.
    6. Daniel Snashall & Dave Cliff, 2019. "Adaptive-Aggressive Traders Don't Dominate," Papers 1910.09947, arXiv.org.
    7. Anufriev, M. & Arifovic, J. & Ledyard, D. & Panchenko, V., 2010. "Efficiency of Continuous Double Auctions under Individual Evolutionary Learning with Full or Limited Information," CeNDEF Working Papers 10-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    8. Jakob Grazzini, 2012. "Analysis of the Emergent Properties: Stationarity and Ergodicity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-7.
    9. Anufriev, Mikhail & Arifovic, Jasmina & Ledyard, John & Panchenko, Valentyn, 2022. "The role of information in a continuous double auction: An experiment and learning model," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    10. Steven Gjerstad, 2013. "Price dynamics in an exchange economy," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(2), pages 461-500, March.
    11. Marco LiCalzi & Paolo Pellizzari, 2008. "Zero-Intelligence Trading without Resampling," Working Papers 164, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    12. Grazzini, J., 2011. "Experimental Based, Agent Based Stock Market," CeNDEF Working Papers 11-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    13. Zhang, Junhuan, 2018. "Influence of individual rationality on continuous double auction markets with networked traders," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 353-392.
    14. Jakob Grazzini, 2013. "Information dissemination in an experimentally based agent-based stock market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 179-209, April.

  22. James T. Swarthout & Jason Shachat, 2004. "Procurement Auctions for Differentiated Goods," Econometric Society 2004 Far Eastern Meetings 629, Econometric Society.

    Cited by:

    1. Brosig, Jeannette & Heinrich, Timo, 2011. "Reputation and Mechanism Choice in Procurement Auctions – An Experiment," Ruhr Economic Papers 254, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Brosig-Koch, Jeannette & Heinrich, Timo & Sterner, Martin, 2023. "Bilateral communication in procurement auctions," MPRA Paper 117612, University Library of Munich, Germany.
    3. Nicola Doni, 2007. "A Comparison of Alternative Procedures for the Selection of the Private Partner in PPP Projects," Working Papers - Economics wp2007_10, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    4. He, Haoran & Chen, Yefeng & Last Name, First Name, 2014. "Auction Mechanisms for Allocating Subsidies for Carbon Emissions Reduction: An Experimental Investigation," RFF Working Paper Series dp-14-06-efd, Resources for the Future.
    5. Manas Ranjan Pani & Amit Agrahari & S. K. De & G. Sahoo, 2011. "Literature Review and Research Issues in e-Procurement," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 36(3), pages 225-246, August.
    6. L. Robin Keller, 2011. "From the Editor ---Multiattribute and Intertemporal Preferences, Probability, and Stochastic Processes: Models and Assessment," Decision Analysis, INFORMS, vol. 8(3), pages 165-169, September.
    7. Robert F. Bordley & Elena Katok & L. Robin Keller, 2010. "Honoring Michael H. Rothkopf's Legacy of Rigor and Relevance in Auction Theory: From the Editors," Decision Analysis, INFORMS, vol. 7(1), pages 1-4, March.
    8. R. Mark Isaac & Timothy C. Salmon & Arthur Zillante, 2004. "A Theory of Jump Bidding in Ascending Auctions," Game Theory and Information 0404002, University Library of Munich, Germany.
    9. Jason Shachat, 2013. "Procuring Commodities: First Price Sealed Bid or English Auction?," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    10. Shachat, Jason, 2009. "Procuring Commodities: Request for Quote or Reverse Auctions?," MPRA Paper 13418, University Library of Munich, Germany.
    11. Chen, Songlin & Tseng, Mitchell M., 2010. "A Negotiation-Credit-Auction mechanism for procuring customized products," International Journal of Production Economics, Elsevier, vol. 127(1), pages 203-210, September.
    12. Brosig-Koch, Jeannette & Heinrich, Timo, 2018. "The role of communication content and reputation in the choice of transaction partners," Games and Economic Behavior, Elsevier, vol. 112(C), pages 49-66.
    13. Charles J. Thomas, 2014. "How the Nature of Product Differentiation Affects Procurement Competition," Southern Economic Journal, John Wiley & Sons, vol. 81(2), pages 323-344, October.
    14. Vlad Mares & Jeroen Swinkels, 2014. "Comparing first and second price auctions with asymmetric bidders," International Journal of Game Theory, Springer;Game Theory Society, vol. 43(3), pages 487-514, August.
    15. Mark Isaac & Svetlana Pevnitskaya & Tim C. Salmon, 2008. "Individual Behavior In Auctions with Price Proportional Benefits," Working Papers wp2008_07_01, Department of Economics, Florida State University.
    16. Mares, Vlad & Swinkels, Jeroen M., 2014. "On the analysis of asymmetric first price auctions," Journal of Economic Theory, Elsevier, vol. 152(C), pages 1-40.
    17. Heinrich, Timo & Brosig-Koch, Jeannette, 2015. "Promises and Social Distance in Buyer-Determined Procurement Auctions," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112892, Verein für Socialpolitik / German Economic Association.
    18. Gediminas Adomavicius & Shawn P. Curley & Alok Gupta & Pallab Sanyal, 2020. "How Decision Complexity Affects Outcomes in Combinatorial Auctions," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2579-2600, November.
    19. Rakesh K. Sarin, 2013. "From the Editor —Optimal Betting, Reducing Unnecessary Mammography in Breast Cancer Diagnosis, Product Line Design, and Value of Information," Decision Analysis, INFORMS, vol. 10(3), pages 187-188, September.
    20. Charles J. Thomas, 2019. "A New Perspective on Entry in Horizontal Merger Analysis," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(3), pages 459-491, November.

  23. Robert W. Rosenthal & Jason Shachat & Mark Walker, 2003. "Hide and Seek in Arizona," Experimental 0312001, University Library of Munich, Germany.

    Cited by:

    1. Duffy, Sean & Naddeo, JJ & Owens, David & Smith, John, 2016. "Cognitive load and mixed strategies: On brains and minimax," MPRA Paper 71878, University Library of Munich, Germany.
    2. Crawford, Vincent P. & Iriberri, Nagore, 2005. "Fatal Attraction: Focality, Naivete and Sophistication in Experimental “Hide and Seek” Games," University of California at San Diego, Economics Working Paper Series qt96v0t3kq, Department of Economics, UC San Diego.
    3. Yoshitaka Okano, 2014. "Reexamination of teams play in mixed-strategy game experiment," Working Papers SDES-2014-12, Kochi University of Technology, School of Economics and Management, revised Oct 2014.
    4. Jason Shachat & J. Todd Swarthout, 2002. "Learning about Learning in Games through Experimental Control of Strategic Interdependence," Experimental Economics Center Working Paper Series 2006-17, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Aug 2008.
    5. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2014. "Serial correlation in National Football League play calling and its effects on outcomes," MPRA Paper 67862, University Library of Munich, Germany.
    6. Van Essen, Matt & Wooders, John, 2015. "Blind stealing: Experience and expertise in a mixed-strategy poker experiment," Games and Economic Behavior, Elsevier, vol. 91(C), pages 186-206.
    7. Sourav Bhattacharya, 2011. "Campaign Rhetoric and the Hide-&-Seek Game," Working Paper 457, Department of Economics, University of Pittsburgh, revised Nov 2012.
    8. Jason Shachat & J. Todd Swarthout & Lijia Wei, 2012. "A hidden Markov model for the detection of pure and mixed strategy play in games," Working Papers 1202, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 07 Jul 2012.
    9. Jason Shachat & J. Todd Swarthouty & Lijia Wei, 2013. "Man Versus Nash: An Experiment on the Self-enforcing Nature of Mixed Strategy Equilibrium," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    10. Okano, Yoshitaka, 2013. "Minimax play by teams," Games and Economic Behavior, Elsevier, vol. 77(1), pages 168-180.
    11. Steven D. Levitt & John A. List & David H. Reiley, Jr., 2009. "What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments," NBER Working Papers 15609, National Bureau of Economic Research, Inc.
    12. Shachat, Jason & Geng, Sen & Peng, Yujia & Zhong, Huizhen, 2014. "Adolescents, Cognitive Ability, and Minimax Play," MPRA Paper 57710, University Library of Munich, Germany.
    13. Sourav Bhattacharya, 2006. "Campaign Rhetoric and the Hide-and-Seek Game," Working Paper 326, Department of Economics, University of Pittsburgh, revised Jun 2007.
    14. Kenneth Kovash & Steven D. Levitt, 2009. "Professionals Do Not Play Minimax: Evidence from Major League Baseball and the National Football League," NBER Working Papers 15347, National Bureau of Economic Research, Inc.
    15. Steven Levitt & John List & David Reiley, 2010. "What happens in the field stays in the field: Professionals do not play minimax in laboratory experiments," Artefactual Field Experiments 00080, The Field Experiments Website.
    16. John Wooders, 2010. "Does Experience Teach? Professionals and Minimax Play in the Lab," Econometrica, Econometric Society, vol. 78(3), pages 1143-1154, May.
    17. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2014. "Minimax on the gridiron: Serial correlation and its effects on outcomes in the National Football League," MPRA Paper 58907, University Library of Munich, Germany.
    18. Ido Erev & Alvin E. Roth & Robert Slonim, 2016. "Minimax across a population of games," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 2(2), pages 144-156, November.

  24. Jason Shachat & J. Todd Swarthout, 2003. "Do We Detect and Exploit Mixed Strategy Play by Opponents?," Experimental 0310001, University Library of Munich, Germany.

    Cited by:

    1. Duffy, Sean & Naddeo, JJ & Owens, David & Smith, John, 2016. "Cognitive load and mixed strategies: On brains and minimax," MPRA Paper 71878, University Library of Munich, Germany.
    2. Jason Shachat & J. Todd Swarthout, 2002. "Learning about Learning in Games through Experimental Control of Strategic Interdependence," Experimental Economics Center Working Paper Series 2006-17, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Aug 2008.
    3. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2014. "Serial correlation in National Football League play calling and its effects on outcomes," MPRA Paper 67862, University Library of Munich, Germany.
    4. Alcocer, Christian Diego & Jeitschko, Thomas D. & Shupp, Robert, 2020. "Naive and sophisticated mixing: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 157-173.
    5. Aurora García-Gallego & Penelope Hernández-Rojas & Amalia Rodrigo-González, 2015. "An experimental online matching pennies game," Working Papers 2015/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Jason Shachat & J. Todd Swarthout & Lijia Wei, 2012. "A hidden Markov model for the detection of pure and mixed strategy play in games," Working Papers 1202, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 07 Jul 2012.
    7. Cardella, Eric, 2012. "Learning to make better strategic decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 382-392.
    8. Spiliopoulos, Leonidas, 2012. "Pattern recognition and subjective belief learning in a repeated constant-sum game," Games and Economic Behavior, Elsevier, vol. 75(2), pages 921-935.
    9. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    10. Jason Shachat & J. Todd Swarthouty & Lijia Wei, 2013. "Man Versus Nash: An Experiment on the Self-enforcing Nature of Mixed Strategy Equilibrium," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    11. Steven D. Levitt & John A. List & David H. Reiley, Jr., 2009. "What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments," NBER Working Papers 15609, National Bureau of Economic Research, Inc.
    12. Kenneth Kovash & Steven D. Levitt, 2009. "Professionals Do Not Play Minimax: Evidence from Major League Baseball and the National Football League," NBER Working Papers 15347, National Bureau of Economic Research, Inc.
    13. Spiliopoulos, Leonidas, 2008. "Humans versus computer algorithms in repeated mixed strategy games," MPRA Paper 6672, University Library of Munich, Germany.
    14. Spiliopoulos, Leonidas, 2008. "Do repeated game players detect patterns in opponents? Revisiting the Nyarko & Schotter belief elicitation experiment," MPRA Paper 6666, University Library of Munich, Germany.
    15. Steven Levitt & John List & David Reiley, 2010. "What happens in the field stays in the field: Professionals do not play minimax in laboratory experiments," Artefactual Field Experiments 00080, The Field Experiments Website.
    16. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2014. "Minimax on the gridiron: Serial correlation and its effects on outcomes in the National Football League," MPRA Paper 58907, University Library of Munich, Germany.
    17. Frederic Moisan & Cleotilde Gonzalez, 2017. "Security under Uncertainty : Adaptive Attackers Are More Challenging to Human Defenders than Random Attackers," Post-Print hal-03188217, HAL.
    18. Jan Libich & Dat Thanh Nguyen, 2022. "When a compromise gets compromised by another compromise," Australian Economic Papers, Wiley Blackwell, vol. 61(4), pages 678-716, December.
    19. Ido Erev & Alvin E. Roth & Robert Slonim, 2016. "Minimax across a population of games," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 2(2), pages 144-156, November.

  25. Steven Gjerstad & Jason Shachat, 2003. "The Edgeworth exchange formulation of bargaining models and market experiments," Microeconomics 0304004, University Library of Munich, Germany.

    Cited by:

    1. Ross M. Miller, 2003. "Don't Let Your Robots Grow Up To Be Traders: Artificial Intelligence, Human Intelligence, and Asset-Market Bubbles," Experimental 0306001, University Library of Munich, Germany.

  26. Jason Shachat & J. Todd Swarthout, 2002. "Learning about Learning in Games through Experimental Control of Strategic Interdependence," Experimental Economics Center Working Paper Series 2006-17, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Aug 2008.

    Cited by:

    1. Dürsch, Peter & Kolb, Albert & Oechssler, Jörg & Schipper, Burkhard C., 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 63, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    2. Duffy, Sean & Naddeo, JJ & Owens, David & Smith, John, 2016. "Cognitive load and mixed strategies: On brains and minimax," MPRA Paper 71878, University Library of Munich, Germany.
    3. Feng, Jun & Qin, Xiangdong & Wang, Xiaoyuan, 2021. "A Bayesian cognitive hierarchy model with fixed reasoning levels," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 704-723.
    4. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    5. Jason Shachat & J. Todd Swarthouty & Lijia Wei, 2013. "Man Versus Nash: An Experiment on the Self-enforcing Nature of Mixed Strategy Equilibrium," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    6. Spiliopoulos, Leonidas, 2008. "Humans versus computer algorithms in repeated mixed strategy games," MPRA Paper 6672, University Library of Munich, Germany.
    7. Frederic Moisan & Cleotilde Gonzalez, 2017. "Security under Uncertainty : Adaptive Attackers Are More Challenging to Human Defenders than Random Attackers," Post-Print hal-03188217, HAL.
    8. Peter Duersch & Albert Kolb & Jörg Oechssler & Burkhard Schipper, 2010. "Rage against the machines: how subjects play against learning algorithms," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 43(3), pages 407-430, June.

Articles

  1. Neugebauer, Tibor & Shachat, Jason & Szymczak, Wiebke, 2023. "A test of the Modigliani-Miller theorem, dividend policy and algorithmic arbitrage in experimental asset markets," Journal of Banking & Finance, Elsevier, vol. 154(C).
    See citations under working paper version above.
  2. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2023. "Arbitrage bots in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 262-278.
    See citations under working paper version above.
  3. Jason Shachat & Anand Srinivasan, 2022. "Informational Price Cascades and Non-Aggregation of Asymmetric Information in Experimental Asset Markets," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(4), pages 388-407, November.
    See citations under working paper version above.
  4. Shachat, Jason & Walker, Matthew J. & Wei, Lijia, 2021. "How the onset of the Covid-19 pandemic impacted pro-social behaviour and individual preferences: Experimental evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 480-494.

    Cited by:

    1. Adena, Maja & Harke, Julian, 2022. "COVID-19 and pro-sociality: How do donors respond to local pandemic severity, increased salience, and media coverage?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 25(3), pages 824-844.
    2. Martin Brun & Conchita D'Ambrosio & Ada Ferrer-i-Carbonell & Xavier Ramos, 2023. "After you. Cognition and health-distribution preferences," Working Papers 647, ECINEQ, Society for the Study of Economic Inequality.
    3. King King Li & Ying-Yi Hong & Bo Huang & Tony Tam, 2022. "Social preferences before and after the onset of the COVID-19 pandemic in China," Post-Print hal-03899653, HAL.
    4. Nina Stanescu & Adrian Dan & Tanase Tasente, 2023. "The situation of Ukrainean refugees as perceived by the teenagers from Dobrogea, in a post-pandemic context," Technium Social Sciences Journal, Technium Science, vol. 41(1), pages 327-343, March.
    5. Hamza Umer, 2023. "Stability of pro-sociality and trust amid the Covid-19: panel data from the Netherlands," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 255-287, February.
    6. Lohmann, Paul M. & Gsottbauer, Elisabeth & You, Jing & Kontoleon, Andreas, 2023. "Anti-social behaviour and economic decision-making: Panel experimental evidence in the wake of COVID-19," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 136-171.
    7. Hamza Umer, 2024. "Covid-19 and altruism: a meta-analysis of dictator games," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(1), pages 35-60, February.
    8. Hamza Umer, 2023. "A selected literature review of the effect of Covid-19 on preferences," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 9(1), pages 147-156, June.
    9. Fortuna Casoria & Fabio Galeotti & Marie Claire Villeval, 2023. "Trust and social preferences in times of acute health crisis ," Post-Print hal-03974756, HAL.
    10. Bokern, Paul & Linde, Jona & Riedl, Arno & Werner, Peter, 2023. "The robustness of preferences during a crisis: The case of COVID-19," Research Memorandum 012, Maastricht University, Graduate School of Business and Economics (GSBE).
    11. Umer, Hamza, 2022. "Does pro-sociality or trust better predict staying home behavior during the Covid-19?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    12. Siedler, Thomas & Anger, Silke & Christoph, Bernhard & Galkiewicz, Agata & Margaryan, Shushanik & Peter, Frauke & Sandner, Malte, 2024. "War, International Spillovers, and Adolescents: Evidence from Russia's Invasion of Ukraine in 2022," IZA Discussion Papers 16921, Institute of Labor Economics (IZA).
    13. Tomohide Mineyama & Kiichi Tokuoka, 2024. "Does the COVID-19 pandemic change individuals’ risk preference?," Journal of Risk and Uncertainty, Springer, vol. 68(2), pages 163-182, April.
    14. Glenn W. Harrison & Andre Hofmeyr & Harold Kincaid & Brian Monroe & Don Ross & Mark Schneider & J. Todd Swarthout, 2022. "Subjective beliefs and economic preferences during the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 795-823, June.
    15. Sugata Marjit & Gouranga Gopal Das, 2022. "Immunity-Driven Comparative Advantage and Its Palliative Effect on Social Health and Inequality - A Theoretical Perspective," CESifo Working Paper Series 9569, CESifo.
    16. Julien Bergeot & Florence Jusot, 2024. "Risk, time preferences, trustworthiness and COVID-19 preventive behavior: evidence from France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 91-101, February.
    17. Henrike Sternberg & Janina Isabel Steinert & Tim Büthe, 2023. "Compliance in the Public versus the Private Realm: Economic Preferences, Institutional Trust and COVID-19 Health Behaviors," Munich Papers in Political Economy 28, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    18. Fang, Ximeng & Freyer, Timo & Ho, Chui-Yee & Chen, Zihua & Goette, Lorenz, 2022. "Prosociality predicts individual behavior and collective outcomes in the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 308(C).
    19. Marjit, Sugata & Das, Gouranga G., 2023. "Immunity-driven Comparative Advantage and its Palliative Effect on Social Health and Inequality: A Theoretical Perspective," GLO Discussion Paper Series 1252, Global Labor Organization (GLO).
    20. Bird, Matthew D. & Arispe, Samuel & Muñoz, Paula & Freier, Luisa Feline, 2023. "Trust, social protection, and compliance: Moral hazard in Latin America during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 279-295.
    21. Henrike Sternberg & Janina Isabel Steinert & Tim Büthe, 2024. "Compliance in the public versus the private realm: Economic preferences, institutional trust and COVID‐19 health behaviors," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 1055-1119, May.
    22. Yau‐Huo (Jimmy) Shr & Feng‐An Yang, 2023. "Public health crisis and risky road behaviors," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1205-1219, June.
    23. Abdelaziz Alsharawy & Sheryl Ball & Alec Smith & Ross Spoon, 2021. "Fear of COVID-19 changes economic preferences: evidence from a repeated cross-sectional MTurk survey," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 103-119, December.
    24. Broihanne, Marie-Hélène & Orkut, Hava & Osei-Tutu, Francis, 2023. "Cold time, cool time? Weather-induced moods and financial risk tolerance: Evidence from a real-world banking context," Finance Research Letters, Elsevier, vol. 55(PB).
    25. Despina Saghin & Maria-Magdalena Lupchian & Daniel Lucheș, 2022. "Social Cohesion and Community Resilience during the COVID-19 Pandemic in Northern Romania," IJERPH, MDPI, vol. 19(8), pages 1-15, April.

  5. Jason Shachat & Matthew J. Walker & Lijia Wei, 2021. "The Impact of an Epidemic: Experimental Evidence on Preference Stability from Wuhan," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 302-306, May.

    Cited by:

    1. Andreas C. Drichoutis & Rodolfo M. Nayga, 2022. "On the stability of risk and time preferences amid the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 759-794, June.
    2. Yiting Guo & Jason Shachat & Matthew J. Walker & Lijia Wei, 2021. "Viral social media videos can raise pro-social behaviours when an epidemic arises," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 120-138, December.
    3. Diego Marino Fages & Matias Morales, 2022. "Migration and Social Preferences," Discussion Papers 2022-07, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    4. Delphine Boutin & Laurène Petifour & Haris Megzari, 2022. "Instability of preferences due to Covid-19 Crisis and emotions: a natural experiment from urban Burkina Faso," Working Papers hal-03623601, HAL.
    5. Adema, Joop & Nikolka, Till & Poutvaara, Panu & Sunde, Uwe, 2021. "On the Stability of Risk Preferences: Measurement Matters," IZA Discussion Papers 14755, Institute of Labor Economics (IZA).
    6. Pierre-Guillaume Méon & Robin Rampaer & David Raymaekers, 2021. "One-minute earthquake, years of patience: Evidence from Mexico on the effect of earthquake exposure on time preference," Working Papers CEB 21-015, ULB -- Universite Libre de Bruxelles.
    7. Tomohide Mineyama & Kiichi Tokuoka, 2024. "Does the COVID-19 pandemic change individuals’ risk preference?," Journal of Risk and Uncertainty, Springer, vol. 68(2), pages 163-182, April.
    8. Boutin, Delphine & Petifour, Laurene & Megzari, Haris, 2023. "Permanent Instability of Preferences after COVID-19 Crisis: A Natural Experiment from Urban Burkina Faso," IZA Discussion Papers 16075, Institute of Labor Economics (IZA).
    9. Nicholas Ingwersen & Elizabeth Frankenberg & Duncan Thomas, 2023. "Evolution of Risk Aversion over Five Years after a Major Natural Disaster," NBER Working Papers 31102, National Bureau of Economic Research, Inc.
    10. Thierry Blayac & Dimitri Dubois & Sébastien Duchêne & Phu Nguyen-Van & Bruno Ventelou & Marc Willinger, 2022. "What drives the acceptability of restrictive health policies: An experimental assessment of individual preferences for anti-COVID 19 strategies," Post-Print hal-03866196, HAL.
    11. Ingwersen, Nicholas & Frankenberg, Elizabeth & Thomas, Duncan, 2023. "Evolution of risk aversion over five years after a major natural disaster," Journal of Development Economics, Elsevier, vol. 163(C).
    12. Delphine BOUTIN & Laurène PETIFOUR & Haris MEGZARI, 2022. "Instability of preferences due to Covid-19 Crisis and emotions: a natural experiment from urban Burkina Faso," Bordeaux Economics Working Papers 2022-05, Bordeaux School of Economics (BSE).

  6. Yiting Guo & Jason Shachat & Matthew J. Walker & Lijia Wei, 2021. "Viral social media videos can raise pro-social behaviours when an epidemic arises," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 120-138, December.
    See citations under working paper version above.
  7. Timo Heinrich & Jason Shachat, 2020. "The development of risk aversion and prudence in Chinese children and adolescents," Journal of Risk and Uncertainty, Springer, vol. 61(3), pages 263-287, December.
    See citations under working paper version above.
  8. Jinrui Pan & Jason Shachat & Sijia Wei, 2020. "Cognitive reflection and economic order quantity inventory management: An experimental investigation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 998-1009, September.
    See citations under working paper version above.
  9. Jun Gu & Annika Mueller & Ingrid Nielsen & Jason Shachat & Russell Smyth, 2019. "Improving Intergroup Relations through Actual and Imagined Contact: Field Experiments with Malawian Shopkeepers and Chinese Migrants," Economic Development and Cultural Change, University of Chicago Press, vol. 68(1), pages 273-303.

    Cited by:

    1. Dong Wang & Alastair Iain Johnston & Baoyu Wang, 2021. "The Effect of Imagined Social Contact on Chinese Students’ Perceptions of Japanese People," Journal of Conflict Resolution, Peace Science Society (International), vol. 65(1), pages 223-251, January.
    2. Pushkar Maitra & Ananta Neelim, 2024. "Discrimination in Developing Countries," Monash Economics Working Papers 2024-03, Monash University, Department of Economics.
    3. Maiti, Surya Nath & Pakrashi, Debayan & Saha, Sarani & Smyth, Russell, 2020. "Don’t judge a book by its cover: The role of intergroup contact in reducing prejudice in conflict settings," GLO Discussion Paper Series 549, Global Labor Organization (GLO).
    4. Cheng, Zhiming & Smyth, Russell, 2021. "Education and migrant entrepreneurship in urban China," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 506-529.

  10. Jason Shachat & Zhenxuan Zhang, 2017. "The Hayek Hypothesis and Long‐run Competitive Equilibrium: An Experimental Investigation," Economic Journal, Royal Economic Society, vol. 127(599), pages 199-228, February.
    See citations under working paper version above.
  11. Jun Gu & Ingrid Nielsen & Jason Shachat & Russell Smyth & Yujia Peng, 2016. "An experimental study of the effect of intergroup contact on attitudes in urban China," Urban Studies, Urban Studies Journal Limited, vol. 53(14), pages 2991-3006, November.
    See citations under working paper version above.
  12. Jason Shachat & Lijia Tan, 2015. "An Experimental Investigation of Auctions and Bargaining in Procurement," Management Science, INFORMS, vol. 61(5), pages 1036-1051, May.
    See citations under working paper version above.
  13. Shachat, Jason & Swarthout, J. Todd & Wei, Lijia, 2015. "A Hidden Markov Model For The Detection Of Pure And Mixed Strategy Play In Games," Econometric Theory, Cambridge University Press, vol. 31(4), pages 729-752, August.
    See citations under working paper version above.
  14. Geng, Sen & Peng, Yujia & Shachat, Jason & Zhong, Huizhen, 2015. "Adolescents, cognitive ability, and minimax play," Economics Letters, Elsevier, vol. 128(C), pages 54-58.
    See citations under working paper version above.
  15. Jason Shachat & J. Todd Swarthout, 2013. "Auctioning the Right to Play Ultimatum Games and the Impact on Equilibrium Selection," Games, MDPI, vol. 4(4), pages 1-16, November.
    See citations under working paper version above.
  16. Shachat, Jason & Swarthout, J. Todd, 2012. "Learning about learning in games through experimental control of strategic interdependence," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 383-402.
    See citations under working paper version above.
  17. Jason Shachat & Lijia Wei, 2012. "Procuring Commodities: First-Price Sealed-Bid or English Auctions?," Marketing Science, INFORMS, vol. 31(2), pages 317-333, March.
    See citations under working paper version above.
  18. Jason Shachat & J. Todd Swarthout, 2010. "Procurement Auctions for Differentiated Goods," Decision Analysis, INFORMS, vol. 7(1), pages 6-22, March.
    See citations under working paper version above.
  19. Shachat, Jason & Walker, Mark, 2004. "Unobserved heterogeneity and equilibrium: an experimental study of Bayesian and adaptive learning in normal form games," Journal of Economic Theory, Elsevier, vol. 114(2), pages 280-309, February.

    Cited by:

    1. Costa-Gomes, Miguel & Crawford, Vincent P & Broseta, Bruno, 2001. "Cognition and Behavior in Normal-Form Games: An Experimental Study," Econometrica, Econometric Society, vol. 69(5), pages 1193-1235, September.
    2. Nick Feltovich & Sobei H. Oda, 2014. "Special Section: Experiments on Learning, Methods, and Voting," Pacific Economic Review, Wiley Blackwell, vol. 19(3), pages 260-277, August.
    3. López-Pérez, Raúl & Pintér, Ágnes & Kiss, Hubert J., 2015. "Does payoff equity facilitate coordination? A test of Schelling's conjecture," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 209-222.
    4. Jaromír Kovářík & Friederike Mengel & José Gabriel Romero, 2018. "Learning in network games," Quantitative Economics, Econometric Society, vol. 9(1), pages 85-139, March.
      • Kovarik, Jaromir & Mengel, Friederike & Romero, José Gabriel, 2012. "Learning in Network Games," IKERLANAK http://www-fae1-eao1-ehu-, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
    5. Timothy Salmon, 2004. "Evidence for Learning to Learn Behavior in Normal Form Games," Theory and Decision, Springer, vol. 56(4), pages 367-404, April.

  20. Jason Shachat & J. Todd Swarthout, 2004. "Do we detect and exploit mixed strategy play by opponents?," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 59(3), pages 359-373, July.
    See citations under working paper version above.
  21. Robert W. Rosenthal & Jason Shachat & Mark Walker, 2003. "Hide and seek in Arizona," International Journal of Game Theory, Springer;Game Theory Society, vol. 32(2), pages 273-293, December.
    See citations under working paper version above.
  22. Shachat, Jason M., 2002. "Mixed Strategy Play and the Minimax Hypothesis," Journal of Economic Theory, Elsevier, vol. 104(1), pages 189-226, May.

    Cited by:

    1. Azar, Ofer H. & Bar-Eli, Michael, 2009. "Do soccer players play the mixed-strategy Nash equilibrium?," MPRA Paper 20964, University Library of Munich, Germany.
    2. Duffy, Sean & Naddeo, JJ & Owens, David & Smith, John, 2016. "Cognitive load and mixed strategies: On brains and minimax," MPRA Paper 71878, University Library of Munich, Germany.
    3. Killion, M. Ulric, 2009. "Relation of game theory to economic history and marginalism," MPRA Paper 13378, University Library of Munich, Germany.
    4. Jung S You, 2021. "Random Actions in Experimental Zero-Sum Games," Journal of Economics and Behavioral Studies, AMH International, vol. 13(1), pages 69-81.
    5. Yoshitaka Okano, 2014. "Reexamination of teams play in mixed-strategy game experiment," Working Papers SDES-2014-12, Kochi University of Technology, School of Economics and Management, revised Oct 2014.
    6. Scroggin, Steven, 2003. "Bounded Rationality in Randomization," University of California at San Diego, Economics Working Paper Series qt1974b8tz, Department of Economics, UC San Diego.
    7. Hillenbrand, Adrian & Winter, Fabian, 2018. "Volunteering under population uncertainty," Games and Economic Behavior, Elsevier, vol. 109(C), pages 65-81.
    8. Robert W. Rosenthal & Jason Shachat & Mark Walker, 2003. "Hide and Seek in Arizona," Experimental 0312001, University Library of Munich, Germany.
    9. Jason Shachat & J. Todd Swarthout, 2002. "Learning about Learning in Games through Experimental Control of Strategic Interdependence," Experimental Economics Center Working Paper Series 2006-17, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Aug 2008.
    10. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2014. "Serial correlation in National Football League play calling and its effects on outcomes," MPRA Paper 67862, University Library of Munich, Germany.
    11. Van Essen, Matt & Wooders, John, 2015. "Blind stealing: Experience and expertise in a mixed-strategy poker experiment," Games and Economic Behavior, Elsevier, vol. 91(C), pages 186-206.
    12. Thomas Demuynck & Luc Lauwers, 2009. "Nash rationalization of collective choice over lotteries," ULB Institutional Repository 2013/252245, ULB -- Universite Libre de Bruxelles.
    13. Jason Shachat & J. Todd Swarthout & Lijia Wei, 2012. "A hidden Markov model for the detection of pure and mixed strategy play in games," Working Papers 1202, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 07 Jul 2012.
    14. John Van Huyck & Frederick Rankin & Raymond Battalio, 1999. "What Does it Take to Eliminate the use of a Strategy Strictly Dominated by a Mixture?," Experimental Economics, Springer;Economic Science Association, vol. 2(2), pages 129-150, December.
    15. Jason Shachat & J. Todd Swarthouty & Lijia Wei, 2013. "Man Versus Nash: An Experiment on the Self-enforcing Nature of Mixed Strategy Equilibrium," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    16. Okano, Yoshitaka, 2013. "Minimax play by teams," Games and Economic Behavior, Elsevier, vol. 77(1), pages 168-180.
    17. Crawford, Vincent P., 2002. "Introduction to Experimental Game Theory," Journal of Economic Theory, Elsevier, vol. 104(1), pages 1-15, May.
    18. Sourav Bhattacharya, 2006. "Campaign Rhetoric and the Hide-and-Seek Game," Working Paper 326, Department of Economics, University of Pittsburgh, revised Jun 2007.
    19. Teck H Ho & Colin Camerer & Juin-Kuan Chong, 2003. "Functional EWA: A one-parameter theory of learning in games," Levine's Working Paper Archive 506439000000000514, David K. Levine.
    20. Julian Romero & Yaroslav Rosokha, 2023. "Mixed Strategies in the Indefinitely Repeated Prisoner's Dilemma," Econometrica, Econometric Society, vol. 91(6), pages 2295-2331, November.
    21. Gary E Bolton & Axel Ockenfels, 2007. "Information Value and Externalities in Reputation Building - An Experimental Study," Working Paper Series in Economics 35, University of Cologne, Department of Economics, revised 01 Aug 2008.
    22. Bolton, Gary E. & Ockenfels, Axel & Ebeling, Felix, 2011. "Information value and externalities in reputation building," International Journal of Industrial Organization, Elsevier, vol. 29(1), pages 23-33, January.
    23. Heiko Rauhut, 2009. "Higher Punishment, Less Control?," Rationality and Society, , vol. 21(3), pages 359-392, August.
    24. Noga Alon & Kirill Rudov & Leeat Yariv, 2021. "Dominance Solvability in Random Games," Working Papers 2021-84, Princeton University. Economics Department..
    25. Spiliopoulos, Leonidas, 2013. "Beyond fictitious play beliefs: Incorporating pattern recognition and similarity matching," Games and Economic Behavior, Elsevier, vol. 81(C), pages 69-85.
    26. Dhami, Sanjit & Al-Nowaihi, Ali, 2010. "Optimal taxation in the presence of tax evasion: Expected utility versus prospect theory," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 313-337, August.
    27. John Wooders, 2010. "Does Experience Teach? Professionals and Minimax Play in the Lab," Econometrica, Econometric Society, vol. 78(3), pages 1143-1154, May.
    28. Charles Noussair & Marc Willinger, 2011. "Mixed strategies in an unprofitable game: an experiment," Working Papers 11-19, LAMETA, Universtiy of Montpellier, revised Nov 2011.
    29. Schade, Christian & Schroeder, Andreas & Krause, Kai Oliver, 2010. "Coordination after gains and losses: Is prospect theory’s value function predictive for games?," Structural Change in Agriculture/Strukturwandel im Agrarsektor (SiAg) Working Papers 59524, Humboldt University Berlin, Department of Agricultural Economics.
    30. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2014. "Minimax on the gridiron: Serial correlation and its effects on outcomes in the National Football League," MPRA Paper 58907, University Library of Munich, Germany.
    31. Vitaly Pruzhansky, 2013. "Maximin play in completely mixed strategic games," Theory and Decision, Springer, vol. 75(4), pages 543-561, October.

  23. Cox, James C. & Shachat, Jason & Walker, Mark, 2001. "An Experiment to Evaluate Bayesian Learning of Nash Equilibrium Play," Games and Economic Behavior, Elsevier, vol. 34(1), pages 11-33, January.

    Cited by:

    1. Andreas Blume & Douglas V. DeJong & George R. Neumann & N. E. Savin, 2002. "Learning and communication in sender-receiver games: an econometric investigation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(3), pages 225-247.
    2. Dekel, Eddie & Fudenberg, Drew & Levine, David K., 2004. "Learning to play Bayesian games," Games and Economic Behavior, Elsevier, vol. 46(2), pages 282-303, February.
    3. Andreas Nicklisch, 2011. "Learning strategic environments: an experimental study of strategy formation and transfer," Theory and Decision, Springer, vol. 71(4), pages 539-558, October.
    4. Andreas Nicklisch, 2006. "Perceiving strategic environments: An experimental study of learning under minimal information," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2006_17, Max Planck Institute for Research on Collective Goods.
    5. Nick Feltovich & Sobei H. Oda, 2014. "Special Section: Experiments on Learning, Methods, and Voting," Pacific Economic Review, Wiley Blackwell, vol. 19(3), pages 260-277, August.
    6. Blume, A. & DeJong, D.V. & Neumann, G. & Savin, N.E., 2000. "Learning and Communication in Sender-Reciever Games : An Economic Investigation," Discussion Paper 2000-09, Tilburg University, Center for Economic Research.
    7. Robert Oxoby, "undated". "Social Inference and Occupational Choice: Type-Based Biases in a Bayesian Model of Class Formation," Working Papers 2009-07, Department of Economics, University of Calgary, revised 11 Jan 2009.
    8. Gunnthorsdottir, Anna & Rapoport, Amnon, 2006. "Embedding social dilemmas in intergroup competition reduces free-riding," Organizational Behavior and Human Decision Processes, Elsevier, vol. 101(2), pages 184-199, November.
    9. Anna Gunnthorsdottir & Amnon Rapoport, 2003. "The effect of sharing rules on group competition," Experimental 0307003, University Library of Munich, Germany.
    10. Oxoby, Robert J., 2014. "Social inference and occupational choice: Type-based beliefs in a Bayesian model of class formation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 51(C), pages 30-37.
    11. Anke Gerber, "undated". "Learning in and about Games," IEW - Working Papers 234, Institute for Empirical Research in Economics - University of Zurich.
    12. Che, Yeon-Koo & Choi, Syngjoo & Kim, Jinwoo, 2017. "An experimental study of sponsored-search auctions," Games and Economic Behavior, Elsevier, vol. 102(C), pages 20-43.
    13. Cader, Hanas A. & Leatherman, John C., 2008. "Geography of Employment and Establishment Dynamics in Information Technology and E-Commerce Industries," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(1), pages 1-18.
    14. Andreas Nicklisch, 2004. "Perceiving strategic environments -An experimental study of strategy formation and transfer-," Papers on Strategic Interaction 2004-26, Max Planck Institute of Economics, Strategic Interaction Group.

  24. Wooders, John & Shachat, Jason M., 2001. "On the Irrelevance of Risk Attitudes in Repeated Two-Outcome Games," Games and Economic Behavior, Elsevier, vol. 34(2), pages 342-363, February.

    Cited by:

    1. Bradley J. Ruffle & Oscar Volij, 2012. "First-Mover Advantage In Two-Sided Competitions: An Experimental Comparison Of Role-Assignment Rules," Working Papers 1208, Ben-Gurion University of the Negev, Department of Economics.
    2. Van Essen, Matt & Wooders, John, 2015. "Blind stealing: Experience and expertise in a mixed-strategy poker experiment," Games and Economic Behavior, Elsevier, vol. 91(C), pages 186-206.
    3. Scroggin, Steven, 2007. "Exploitable actions of believers in the "law of small numbers" in repeated constant-sum games," Journal of Economic Theory, Elsevier, vol. 133(1), pages 219-235, March.
    4. Ido Erev & Alvin Roth & Robert Slonim & Greg Barron, 2007. "Learning and equilibrium as useful approximations: Accuracy of prediction on randomly selected constant sum games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 33(1), pages 29-51, October.
    5. John Van Huyck & Frederick Rankin & Raymond Battalio, 1999. "What Does it Take to Eliminate the use of a Strategy Strictly Dominated by a Mixture?," Experimental Economics, Springer;Economic Science Association, vol. 2(2), pages 129-150, December.
    6. Bradley J. Ruffle, Oscar Volij, 2014. "First-Mover Advantage in Best-Of-Series: An Experiment Comparison of Role-Assignment Rules," LCERPA Working Papers 0081, Laurier Centre for Economic Research and Policy Analysis, revised 30 Sep 2014.
    7. Okano, Yoshitaka, 2013. "Minimax play by teams," Games and Economic Behavior, Elsevier, vol. 77(1), pages 168-180.
    8. Shachat, Jason & Geng, Sen & Peng, Yujia & Zhong, Huizhen, 2014. "Adolescents, Cognitive Ability, and Minimax Play," MPRA Paper 57710, University Library of Munich, Germany.
    9. Erev, Ido & Roth, Alvin E. & Slonim, Robert L. & Barron, Greg, 2002. "Predictive value and the usefulness of game theoretic models," International Journal of Forecasting, Elsevier, vol. 18(3), pages 359-368.
    10. Shachat, Jason M., 2002. "Mixed Strategy Play and the Minimax Hypothesis," Journal of Economic Theory, Elsevier, vol. 104(1), pages 189-226, May.
    11. Maria Montero & Alex Possajennikov & Martin Sefton & Theodore Turocy, 2013. "Majoritarian Contests with Asymmetric Battlefields: An Experiment," Discussion Papers 2013-12, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    12. Mark Walker & John Wooders, 2001. "Minimax Play at Wimbledon," American Economic Review, American Economic Association, vol. 91(5), pages 1521-1538, December.
    13. Eliaz, Kfir & Rubinstein, Ariel, 2011. "Edgar Allan Poe's riddle: Framing effects in repeated matching pennies games," Games and Economic Behavior, Elsevier, vol. 71(1), pages 88-99, January.
    14. Walker, Mark & Wooders, John & Amir, Rabah, 2011. "Equilibrium play in matches: Binary Markov games," Games and Economic Behavior, Elsevier, vol. 71(2), pages 487-502, March.
    15. Dimitris Batzilis & Sonia Jaffe & Steven Levitt & John A. List & Jeffrey Picel, 2019. "Behavior in Strategic Settings: Evidence from a Million Rock-Paper-Scissors Games," Games, MDPI, vol. 10(2), pages 1-34, April.
    16. Maria Montero & Alex Possajennikov & Martin Sefton & Theodore Turocy, 2016. "Majoritarian Blotto contests with asymmetric battlefields: an experiment on apex games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 61(1), pages 55-89, January.
    17. John Wooders, 2010. "Does Experience Teach? Professionals and Minimax Play in the Lab," Econometrica, Econometric Society, vol. 78(3), pages 1143-1154, May.
    18. Kfir Eliaz & Ariel Rubinstein, 2008. "Edgar Allen Poe's Riddle: Do Guessers Outperform Misleaders in a Repeated Matching Pennies Game?," Levine's Working Paper Archive 122247000000001909, David K. Levine.
    19. Ido Erev & Alvin E. Roth & Robert Slonim, 2016. "Minimax across a population of games," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 2(2), pages 144-156, November.

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