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Frontiers in Behavioral Economics is a peer-reviewed journal published by Frontiers, covering Experimental Behavioral Economics Studies, Decision-Making and Behavioral Economics, Financial Literacy, Pension, Retirement Analysis. Over its lifetime it has published 108 papers, which have received 211 citations.
| Publisher | Frontiers |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Frontiers in Behavioral Economics, 12(3), pp. 45–58.
Formats any DOI in Frontiers in Behavioral Economics style. No sign-up. |
| Publishes research in | Experimental Behavioral Economics Studies Decision-Making and Behavioral Economics Financial Literacy, Pension, Retirement Analysis Evolutionary Game Theory and Cooperation Game Theory and Applications |
| ISSN | 2813-5296 |
| Citation impact (2-yr) | 1.64 |
| h-index | 8 |
| i10-index | 4 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | London School of Economics and Political Science |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
People are increasingly interacting with forms of artificial intelligence (AI). It is crucial to understand whether accepted evidence for human-human reciprocity holds true for human-bot interactions. In a pre-registered online experiment ( N = 539) we first replicate recent studies, finding that the identity of a player's counterpart in a one-shot binary Trust Game has…
Introduction Although decision support systems (DSS) that rely on artificial intelligence (AI) increasingly provide explanations to computer and data scientists about opaque features of the decision process, especially when it involves uncertainty, there is still only limited attention to making the process transparent to end users. Methods This paper compares four distinct explanation strategies employed…
The mini review assesses the value propositions of robo-advisors through the lens of behavioral finance. Despite their promise of data-driven, rational investment strategies, robo-advisors may not fully replicate the personalized service of human financial advisors or eliminate human biases in decision-making. A content analysis of 80 peer-reviewed articles and publications was conducted, focusing on the…
Eye movements are strongly linked to the perception of visual information and can be used to infer mental processes during decision-making. While eye-tracking technology has been available for several decades, the incorporation of eye-tracking data into computational models of decision making is relatively new in neuroeconomics. This review article provides an overview of the interaction…
Introduction Understanding drivers of individuals' food choices is critical to be able to address the public health epidemic of obesity-related health problems. A robust literature documents relationships between intertemporal preferences and body mass index (BMI). However, work on cognition differentiates resource investment in decision-making, with processes frequently categorized as habitual (low investment) vs. model-based (high…
