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Shachat, J., M. J. Walker, and L. Wei (2024). Contingent Payments in Procurement Interactions: Experimental Evidence. European Economic Review. Forthcoming.
- Peng, Y., Shachat, J., Wei, L., & Zhang, S.S. (2024). Speed traps: Algorithmic trader performance under alternative market structures. Experimental Economics. 27(2), 325–350
- Guo, Y., J. Shachat, M. J. Walker, and L. Wei (2023). On the Generalizability of Using Mobile Devices to Conduct Economic Experiments. Journal of Behavioral and Experimental Economics. 106, 1–11.
- Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, (2023). "Arbitrage bots in experimental asset markets." Journal of Economic Behavior and Organization. 206, 262-278.
- Neugebauer, Tibor, Jason Shachat, and Wiebke Szymczak (2023). “A test of the Modigliani-Miller theorem, dividend policy and algorithmic arbitrage in experimental asset markets.” Journal of Banking and Finance, 106814.
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Katok, E., J. Shachat, and M. Walker (2023). Trust and Trustworthiness in Procurement Contracts with Retainage. Management Science. 69 (6), 3492-3515.
- Shachat, J. and L. Tan (2022). How auctioneers set ex-ante and ex-post reserve prices in English auctions. European Journal of Operations Research. 304 (2), 709-728.
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Kuroda, M., J. Li, J. Shachat, L. Wei, and B. Zhu (2022). An Experimental Study of Within- and Cross-cultural Cooperation: Chinese and American Play in the Prisoner’s Dilemma Game. China Economic Review. 74, 101807.
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Pan, J., J. Shachat, and S. Wei (2022). Cognitive stress and learning Economic Order Quantity (EOQ) inventory management: An experimental investigation. Decision Analysis.19(3):229-254.
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Shachat, J. and A. Srivinasan (2022). Informational Price Cascades and Non-Aggregation of Asymmetric Information in Experimental Asset Markets. Journal of Behavioural Finance.23 (4), 388-407.
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Gjerstad, S. and J. Shachat (2021). Individual Rationality and Market Efficiency. Nonlinear Dynamics, Psychology, and Life Sciences. 25(4), 395–406.
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Guo, Y., J. Shachat, M. J. Walker, and L. Wei (2021). Viral social media videos can raise pro-social behaviours when an epidemic arises. Journal of the Economic Science Association 7(2), 120–138.
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Shachat, J., M. J. Walker, and L. Wei (2021a). How the onset of the Covid-19 pandemic impacted pro-social behaviour and individual preferences: Experimental evidence from China. Journal of Economic Behavior Organization. 190, 480–494.
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Shachat, J., M. J. Walker, and L. Wei (2021b). The impact of an epidemic: Experimental evidence on preference stability from Wuhan. In: AEA Papers and Proceedings. Vol. 111, pp.302–06.
- Heinrich, T. and J. Shachat . (2020) “The development of risk aversion and prudence in Chinese children and adolescents” Journal of Risk and Uncertainty. 61(3), 263–287.
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Pan, J, Shachat, J, Wei, S. (2020). Cognitive reflection and economic order quantity inventory management: An experimental investigation.Managerial and Decision Economics. 41: 998– 1009.
- Gu, J., A. Mueller, I. Nielsen, J. Shachat, and R. Smyth (2019). Improving intergroup relations through actual and imagined contact: Field experiments with Malawian shopkeepers and Chinese migrants. Economic Development and Cultural Change 68(1), pages 273-303.
- Shachat, J. and Z. Zhang (2017). The Hayek Hypothesis and long-run competitive equilibrium: An experimental investigation. Economic Journal 127(599), 199–228.
- Gu, J., I. Nielsen, J. Shachat, R. Smyth, and Y. Peng (2016). An experimental study of the effects of intergroup contact on attitudes in urban China. Urban Studies 53(14), 2991–3006.
- Shachat, J. and L. Tan (2015). An Experimental Investigation of Auctions and Bargaining in Procurement. Management Science 61(5), 1036–1051.
- Shachat, J., J. T. Swarthout, and L. Wei (2015). A hidden Markov model for the detection of pure and mixed strategy play in games. Econometric Theory 31 (04), 729–752.
- Geng, S., Y. Peng, J. Shachat, and H. Zhong (2015). Adolescents, cognitive ability, and minimax play. Economics Letters 128, 54–58.
- Zhang, Z., G. Chen, and J. Shachat (2013). The Impact of Asymmetric and Public Information on Pricing Bubbles in Experimental Asset Markets. Securities Market Herald 9. (in Chinese, CSSCI), 54–61.
- Shachat, J. and J. T. Swarthout (2013). Auctioning the Right to Play Ultimatum Games and the Impact on Equilibrium Selection. Games 4(4), 738–753.
- Shachat, J. and L. Wei (2012). Procuring Commodities: First-Price Sealed-Bid or English Auctions? Marketing Science 31(2), 317–333.
- Shachat, J. and J. T. Swarthout (2012). Learning about learning in games through experimental control of strategic interdependence. Journal of Economic Dynamics and Control 36(3), 383–402
- Shachat, J. and J. T. Swarthout (2010). Procurement Auctions for Differentiated Goods. Decision Analysis 7(1), 6–22.
- Shachat, J. and A. Westerling (2006). Information aggregation in a catastrophe futures market. Managerial and Decision Economics 27(6), 477–495.
- Shachat, J. and M. Walker (2004). Unobserved heterogeneity and equilibrium: an experimental study of Bayesian and adaptive learning in normal form games. Journal of Economic Theory 114(2), 280–309.
- Shachat, J. and J. Todd Swarthout (2004). Do we detect and exploit mixed strategy play by opponents? Mathematical Methods of Operations Research 59(3), 359–373
- Rosenthal, R. W., J. Shachat, and M. Walker (2003). Hide and seek in Arizona. International Journal of Game Theory 32(2), 273–293.
- Huang, H., C. Keser, J. Leland, and J. Shachat (2003). Trust, the Internet, and the digital divide. IBM Systems Journal 42(3), 507–518.
- Shachat, J. (2002). Mixed Strategy Play and the Minimax Hypothesis. Journal of Economic Theory 104(1), 189–226.
- Wooders, J. and J. Shachat (2001). On the Irrelevance of Risk Attitudes in Repeated Two-Outcome Games. Games and Economic Behavior 34(2), 342–363.
- Cox, J. C., J. Shachat, and M. Walker (2001). An Experiment to Evaluate Bayesian Learning of Nash Equilibrium Play. Games and Economic Behavior 34(1), 11–33.
- Hoffman, E., G. Libecap, and J. Shachat (1998). An Experimental Investigation of the Incentives to Form Agricultural Marketing Pools. Journal of Mathematical Psychology 42(3), 287–304.