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In: Advances in finance, accounting, and economics (AFAE) book series
In: Premier reference source
This book examines behavioral biases and their impact on investment decisions. It also explores the applicability of econometric data modelling in behavioral finance markets and financial innovations in various fields of micro finance, public private partnership, mergers and acquisitions and behavioral finance.
In: Analyse & Kritik: journal of philosophy and social theory, Band 27, Heft 1, S. 48-72
ISSN: 2365-9858
Abstract
It is widely believed that experimental results of behavioral game theory undermine standard economic and game theory. This paper suggests that experimental results present serious theoretical modeling challenges, but do not undermine two pillars of contemporary economic theory: the rational actor model, which holds that individual choice can be modeled as maximization of an objective function subject to informational and material constraints, and the incentive compatibility requirement, which holds that macroeconomic quantities must be derived from the interaction and aggregation of individual choices. However, we must abandon the notion that rationality implies self-regarding behavior and the assumption that contracts are costlessly enforced by third parties.
In: International Journal of Conflict Management, Band 11, Heft 3, S. 249-266
Much of the prior literature on arbitrator acceptability is focused primarily on demographic characteristics of arbitrators and parties. This article draws from several behavioral theories to build a single conceptual model of arbitrator acceptability. Key concepts from the theory of planned behavior, control theory, organizational justice theories, and the decision making literature are integrated into a single framework that enhances our understanding of this topic and provides useful directions for future research.
In: Taroni F., Bozza S., Biedermann A. 2020, Decision theory, in: Handbook of Forensic Statistics, Banks D. L., Kafadar K., Kaye D.H., Tackett M. (Eds.), Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Chapter 5, 103–130.
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Working paper
Behavioral Economics: Evidence, Theory, and Welfare provides an engaging and accessible introduction to the motivating questions, real-world evidence, theoretical models, and welfare implications of behavioral economics concepts. Applications and examples-- from household decisions, finance, public finance, labor, business, health, development, politics, education, energy, and sports-- illustrate the broad relevance of behavioral economics for consumers, firms, markets, and policy makers alike. This textbook provides readers with both the intuition and analytical tools to apply behavioral economics concepts in understanding the complex social world. Each part of the book covers a key concept, beginningwith a range of empirical evidence that is anomalous within the standard economics framework. In light of this evidence, a second chapter introduces and applies a nonstandard behavioral modeling approach. The last chapter of each part explores market reactions and policy responses to individuals behaving in nonstandard ways. Numerous exercises of varying types and levels provide readers the opportunity to check and enrich their understanding. The book's clear structure orients readers to the many concepts of behavioral economics. It also highlights the process by which economists evaluate evidence and disentangle theories with different social welfare implications. Accessible to students from diverse economic backgrounds, this textbook is an ideal resource for courses on behavioural economics, experimental economics and related areas. The accompanying Solutions Manual further extends learning and engagement
This dissertation introduces a new theory of practice for land planning in America based on behavioralism. It is called culture based incentive planning, or CBIP. The CBIP model and techniques are based on four pillars: cultural snesitivity, behavior analysis, engineered incentive regimes, and the tools of persuasion. CBIP is designed to provide an adaptable framework from which to approch regulatory reform in planning. The framework is applicable to the full range of planning implementation strategies from commond and control to market-based approaches. CBIP, as a systems model, has been engineered to create a cooperative rather than adversarial relationship between government and the regulated community by recognizing issues of cultural sensitivity, market response, and behavioral motivations. Under the model, effective implementation of planning objectives is directly tied to the role that incentives play in human behavior. Based on the foundation of incentive theory, CBIP integrates a variety of principles and techniques from applied behavior analysis and behavioral economics to align incentives that drive personal behavior with public planning objectives. CBIP utiliizes a variety of incentives in planning practice including economic, process, lifestyle, social, behavioral, and technical assistance inducements. ; Ph. D.
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Most theories of elections assume that voters and political actors are fully rational. While these formulations produce many insights, they also generate anomalies--most famously, about turnout. The rise of behavioral economics has posed new challenges to the premise of rationality. This groundbreaking book provides a behavioral theory of elections based on the notion that all actors--politicians as well as voters--are only boundedly rational. The theory posits learning via trial and error: actions that surpass an actor's aspiration level are more likely to be used in the future, while those that fall short are less likely to be tried later. Based on this idea of adaptation, the authors construct formal models of party competition, turnout, and voters' choices of candidates. These models predict substantial turnout levels, voters sorting into parties, and winning parties adopting centrist platforms. In multiparty elections, voters are able to coordinate vote choices on majority-preferred candidates, while all candidates garner significant vote shares. Overall, the behavioral theory and its models produce macroimplications consistent with the data on elections, and they use plausible microassumptions about the cognitive capacities of politicians and voters. A computational model accompanies the book and can be used as a tool for further research.
In: Behavioral science, Band 11, Heft 5, S. 370-384
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In: Computers, Environment and Urban Systems, Band 5, Heft 1-2, S. 115-121
In: Decision sciences journal of innovative education, Band 13, Heft 3, S. 431-458
ISSN: 1540-4595
ABSTRACTBusiness education often renders students less likely to act ethically. An infusion of liberal learning in the form of behavioral ethics could improve this situation by prompting students to develop higher levels of professionalism that encompass ethics, social responsibility, self‐critical reflection, and personal accountability. More specifically, teaching behavioral ethics, which draws upon psychology, sociology, and related fields, can improve students' ethical decision making in a manner that can lead to a more ethical climate in organizations and in society more generally. This article introduces key concepts of behavioral ethics, argues that teaching behavioral ethics can have a positive impact, discusses materials that can be used to teach those concepts, and addresses action‐research approaches to assessing the effectiveness of the instruction. There is significant evidence, though preliminary and incomplete, that teaching behavioral ethics is a promising new approach for improving the ethicality of students' decisions and actions.