Migration Processes in the Context of Behavioral Economics Theories

2021 ◽  
Vol 1 (4) ◽  
pp. 20-32
Author(s):  
Anastasia Sokolova ◽  
Olga Kalachikova
Keyword(s):  
Game Theory ◽  
Behavioral Economics ◽  
Evolutionary Game Theory ◽  
Scientific Community ◽  
Cognitive Biases ◽  
Empirical Studies ◽  
Evolutionary Game ◽  
Cognitive Distortion ◽  
Migration Behavior ◽  
And Migration

The aim of this article is to investigate the connection between behavioral economy and migration processes. Behavioral economics is a relatively new phenomenon in science and the fact that some research in this area has earned the Nobel Prize makes its contribution significant in the consideration of economic processes. The analysis of sources shows that in the field of Russian studies there is practically no mention of the fact that migration behavior can be explained by the behavioral economics theses. In this article, we explore several key ideas in this area: nudge theory, prospect theory, evolutionary game theory, cognitive distortion, and hedonistic adaptation. In this article, we put forward a hypothesis that migration processes can not only be explained from the standpoint of behavioral economics but can also be regulated using the tools of this direction. Behavioral economics can be the key for discovering the dynamics and true motives of migration. The analysis of information in this area shows, that a person makes decisions mainly based not on the laws of logic and rationalism. Paradoxes such as cognitive biases, etc. reduce the effectiveness of an individual's actions and provide an incentive for the scientific community to expand the number of empirical studies of migration processes within the framework of behavioral economics theories.

scholarly journals Evolution of Cooperation with Peer Punishment under Prospect Theory

Games ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 11 ◽  
Author(s):  
Satoshi Uchida ◽  
Hitoshi Yamamoto ◽  
Isamu Okada ◽  
Tatsuya Sasaki
Keyword(s):  
Game Theory ◽  
Prospect Theory ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Social Dilemma ◽  
Cognitive Distortion ◽  
Evolution Of Cooperation ◽  
Human Beings ◽  
Wide Range ◽  
Parameter Values

Social dilemmas are among the most puzzling issues in the biological and social sciences. Extensive theoretical efforts have been made in various realms such as economics, biology, mathematics, and even physics to figure out solution mechanisms to the dilemma in recent decades. Although punishment is thought to be a key mechanism, evolutionary game theory has revealed that the simplest form of punishment called peer punishment is useless to solve the dilemma, since peer punishment itself is costly. In the literature, more complex types of punishment, such as pool punishment or institutional punishment, have been exploited as effective mechanisms. So far, mechanisms that enable peer punishment to function as a solution to the social dilemma remain unclear. In this paper, we propose a theoretical way for peer punishment to work as a solution mechanism for the dilemma by incorporating prospect theory into evolutionary game theory. Prospect theory models human beings as agents that estimate small probabilities and loss of profit as greater than they actually are; thus, those agents feel that punishments are more frequent and harsher than they really are. We show that this kind of cognitive distortion makes players decide to cooperate to avoid being punished and that the cooperative state achieved by this mechanism is globally stable as well as evolutionarily stable in a wide range of parameter values.

scholarly journals A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Mode Choice ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Game Model ◽  
Stable States ◽  
Taxi Service ◽  
Service Mode ◽  
The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

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