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Home > Archives > Volume 16, No 6 (2018) > Article

DOI: 10.14704/nq.2018.16.6.1579

School-Choice Behavior and Game Based on Brain Cognition

Zunguo Hu, Xiangdong Liang, Yaozhong Wang


Brain stimulation experiment has revealed the association law between loss aversion tendency and brain-specific nervous system, providing a solid scientific basis for deep understanding of human behavioral preferences, as well as providing another research scheme for controversial school choice. There are many uncertain risks in the process of school choice, so asymmetry appears when the decision maker’s brain processes gain and loss, which causes obvious school-choice preference reversal. Based on the inherent law of brain activity studied by fMRI and through analyzing the phenomenon of human choice behavior under the admission system in China, this study proves that applicants appear limited rationality or preference reversal when the emotional brain area is hyperactive. In addition, in the priority to the first applications (PTTFA) mechanism, applicants reveal that true preference is not a dominant strategy, which will lead to market imbalances and low inefficiency.


Loss aversion, Irrational Choice, School-choice Behavior, Neuroeconomics.

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Abdulkadiroglu A, Pathak PA, Roth AE. Strategy-Proofness versus efficiency in matching with indifferences: Redesigning the NYC high school match. The American Economic Review 2009; 99(5): 1954-78.

Abdulkadiroglu A, Roth AE. The New York City High School Match. American Economie Review 2005; 95(2): 364-67.

Camerer C, Loewenstein G, Prelec D. Neuroeconomics: How neuroscience can inform economics. Journal of Economic Literature 2005; 43(1): 9-64.

Chen Y, Sönmez T. School choice: an experimental study. Journal of Economic Theory 2004; 127(1): 202-31.

De MB, Camerer CF, Adolphs R. Amygdala Damage Eliminates Monetary Loss Aversion. Proceedings of the National Academy of Sciences 2010; 107(8): 3788-92.

Gale D, Shapley LS. College Admissions and the stability of marriage. American Mathematical Monthly 1962; 69(1): 9-15.

He D. 2005. A behavioral analysis of the transformation from rational choice to irrational choice. Economic Research Journal 2005; 8: 73-83.

Jia YM, Huang DQ. Preference heterogeneity and consistency: based on neuroeconomics study of loss aversion and brain stimulation. South China Journal of Economics 2015; 5: 97-119.

Nie H. A Game-theoretical analysis of China’s college admission mechanism. China Economic Quarterly 2007; (3): 899-16.

Qing ZQ. An evolutionary route of economic decision-making studies with the introduction of emotion: From classical economics to neuroeconomics. Journal of Finance and Economics 2009; 35(9): 59-69.

Ruff C, Fehr E. Changing social norm compliance with noninvasive brain stimulation. Science 2013; 342(6157): 482-84.

Sanfey AG, Rilling JK, Aronson JA, Nystrom LE, Cohen JD. The neural basis of economic decision-making in the ultimatum game. Science 2003; 300(5626): 1755-58.

SokolHessner P, Camerer CF, Phelps EA. emotion regulation reduces loss aversion and decreases amygdala responses to losses. Social Cognitive and Affective Neuroscience 2014; 8(3): 341-45.

Tversky A, Kahneman D. Advances in prospect theory: Cumulative representation of Uncertainty. Journal of Risk and Uncertainty 1992; 5(4): 297-24.

Tversky A, Kahneman D. Loss Aversion in riskless choice: a reference-dependent Model. Quarterly Journal of Economics 1991; 106(4): 1039-61.

Wei LJ. A Design for college and graduate school admission. China Economic Quarterly 2010; 9(1): 349-62.

Wu BZ, Zhong XH. Preference submission mechanisms and mathing qualities: An empirical study on china’s college entrance examination system P. China Economic Quarterly 2012; 11(2): 765-804.