Behavioural Economics for Investors
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Collective Action and Rational Choice Explanations
Collective Action and Rational Choice Explanations Randall Harp University of Vermont 70 South Williams St, Burlington, VT 05401 [email protected] ABSTRACT In order for traditional rational choice theory (RCT) to explain the production of collective action, it must be able to distinguish between two behaviorally identical possibilities: one, that all of the agents in a group are each performing behaviors in pursuit of a set of individual actions; and two, that all of those agents are performing those behaviors in pursuit of a collective action. I argue that RCT does not have the resources necessary to distinguish between these two possibilities. RCT could distinguish between these possibilities if it were able to account for commitments. I argue that successful rational choice explanations of collective action appeal to commitments, and distinguish this way of explaining collective action from a general class of explanations called plural subject (or team reasoning) theories. I. INTRODUCTION One virtue of a good explanatory model is that it is capable of explaining why event � occurs rather than event �", for some domain of events � which is within the explanatory purview of the model. For certain domains of events, rational choice theory (RCT) is a good explanatory model in this respect. Given a set of actions �, where every � ∈ � is an individual action, RCT can be an important part of a good explanation for why agent � performed action �( rather than action �): namely, because � is rational, and because � judges that �( is more likely to produce a more highly-valued outcome than action �). As I argue in this paper, however, for another domain of events RCT is not a very good explanatory model. -
1 Session 17
42nd Annual National Conference of Regulatory Attorneys Nashville, Tennessee May 5-8, 2019 Outline & Materials Session 17 - Bridge Over Troubled Water: The Arch of Ethics It is easy to fall into ethically-troubled waters. Here, a series of lively skits will show us some of the daily challenges facing attorneys who practice before the fictitious Nirvana Public Utility Commission. The situations portrayed leave us to question: Will these lawyers slip into the muddy waters or steady themselves by clinging to the Model Rules of Professional Conduct? Legal Instruction: Richard Collier, Esq. Skit Production: Eve Moran, Esq. _________________________________________________________________________ Skit I - Things Are Jumping At The Bluebird Bar & Grill Resources: Ex Parte Statutes - Tennessee (Tenn. Code Ann. § 4-5-304) Model Rule 3.5 A lawyer shall not: (a) seek to influence a judge, juror, prospective juror or other official by means prohibited by law; (b) communicate ex parte with such a person during the proceeding unless authorized to do so by law or court order; (c) communicate with a juror or prospective juror after discharge of the jury if: (1) the communication is prohibited by law or court order; (2) the juror has made known to the lawyer a desire not to communicate; or (3) the communication involves misrepresentation, coercion, duress or harassment; or (d) engage in conduct intended to disrupt a tribunal. Model Rule 8.4 It is professional misconduct for a lawyer to: (a) violate or attempt to violate the Rules of Professional Conduct, -
Behavioral Inattention
Behavioral Inattention Xavier Gabaix∗ December 4, 2017 Abstract Inattention is a central, unifying theme for much of behavioral economics. It per- meates such disparate fields as microeconomics, macroeconomics, finance, public eco- nomics, and industrial organization. It enables us to think in a rather consistent way about behavioral biases, speculate about their origins, and trace out their implications for market outcomes. This survey first discusses the most basic models of attention, using a fairly unified framework. Then, it discusses the methods used to measure attention, which present a number of challenges on which much progress has been done. It then examines the various theories of attention, both behavioral and more Bayesian. It finally discusses some applications. For instance, inattention offers a way to write a behavioral version of basic microeconomics, as in consumer theory, producer theory, and Arrow-Debreu. A last section is devoted to open questions in the attention literature. This chapter is a pedagogical guide to the literature on attention. Derivations are self-contained. ∗[email protected]. Draft chapter for the Handbook of Behavioral Economics, edited by Douglas Bernheim, Stefano DellaVigna and David Laibson. Comments solicited. Please email me if you see an important reference that's missing (including your own papers). I thank Vu Chau and Antonio Coppola for excellent research assistance. For comments and suggestions, I thank the editors of this Handbook, Hunt Allcott, and Gautam Rao. For sharing their with data, I thank Stefano DellaVigna, Josh Pollet, and Devin Pope. I thank the Sloan Foundation for support. 1 Contents 1 Motivation 5 2 A Simple Framework for Modeling Attention 6 2.1 An introduction: Anchoring and adjustment via Gaussian signal extraction7 2.2 Models with deterministic attention and action . -
The Art of Thinking Clearly
For Sabine The Art of Thinking Clearly Rolf Dobelli www.sceptrebooks.co.uk First published in Great Britain in 2013 by Sceptre An imprint of Hodder & Stoughton An Hachette UK company 1 Copyright © Rolf Dobelli 2013 The right of Rolf Dobelli to be identified as the Author of the Work has been asserted by him in accordance with the Copyright, Designs and Patents Act 1988. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means without the prior written permission of the publisher, nor be otherwise circulated in any form of binding or cover other than that in which it is published and without a similar condition being imposed on the subsequent purchaser. A CIP catalogue record for this title is available from the British Library. eBook ISBN 978 1 444 75955 6 Hardback ISBN 978 1 444 75954 9 Hodder & Stoughton Ltd 338 Euston Road London NW1 3BH www.sceptrebooks.co.uk CONTENTS Introduction 1 WHY YOU SHOULD VISIT CEMETERIES: Survivorship Bias 2 DOES HARVARD MAKE YOU SMARTER?: Swimmer’s Body Illusion 3 WHY YOU SEE SHAPES IN THE CLOUDS: Clustering Illusion 4 IF 50 MILLION PEOPLE SAY SOMETHING FOOLISH, IT IS STILL FOOLISH: Social Proof 5 WHY YOU SHOULD FORGET THE PAST: Sunk Cost Fallacy 6 DON’T ACCEPT FREE DRINKS: Reciprocity 7 BEWARE THE ‘SPECIAL CASE’: Confirmation Bias (Part 1) 8 MURDER YOUR DARLINGS: Confirmation Bias (Part 2) 9 DON’T BOW TO AUTHORITY: Authority Bias 10 LEAVE YOUR SUPERMODEL FRIENDS AT HOME: Contrast Effect 11 WHY WE PREFER A WRONG MAP TO NO -
Retention and Transfer of Cognitive Bias Mitigation Interventions: a Systematic Literature Study
SYSTEMATIC REVIEW published: 12 August 2021 doi: 10.3389/fpsyg.2021.629354 Retention and Transfer of Cognitive Bias Mitigation Interventions: A Systematic Literature Study J.E. (Hans) Korteling, Jasmin Y. J. Gerritsma and Alexander Toet* Netherlands Organisation for Applied Scientific Research (TNO) Human Factors, Soesterberg, Netherlands Cognitive biases can adversely affect human judgment and decision making and should therefore preferably be mitigated, so that we can achieve our goals as effectively as possible. Hence, numerous bias mitigation interventions have been developed and evaluated. However, to be effective in practical situations beyond laboratory conditions, the bias mitigation effects of these interventions should be retained over time and should transfer across contexts. This systematic review provides an overview of the literature on retention and transfer of bias mitigation interventions. A systematic search yielded 52 studies that were eligible for screening. At the end of the selection process, only 12 peer-reviewed studies remained that adequately studied retention over a period of at least 14 days (all 12 studies) or transfer to different tasks and contexts (one study). Edited by: Eleven of the relevant studies investigated the effects of bias mitigation training using Rick Thomas, Georgia Institute of Technology, game- or video-based interventions. These 11 studies showed considerable overlap United States regarding the biases studied, kinds of interventions, and decision-making domains. Most Reviewed by: of them indicated that gaming interventions were effective after the retention interval and Elizabeth Veinott, that games were more effective than video interventions. The study that investigated Michigan Technological University, United States transfer of bias mitigation training (next to retention) found indications of transfer across Dan Diaper, contexts. -
Can Resources Save Rationality? “Anti-Bayesian”
Commentary/Lieder and Griffiths: Resource-rational analysis 31 want to draw inspiration from the theory of optimal feedback formalisms, and finding ways to decide which ones are more control, in which more precise control incurs greater metabolic applicable to particular settings. expenses at the organismal level (Todorov and Jordan 2002). The time scale over which resources are allocated.Attentioncanbe efficiently allocated in response to trial-to-trial variations in reward Can resources save rationality? or priority (Bays 2014;Sims2003;vandenBergandMa2018), in Anti-Bayesian updating in other words, on a timescale of seconds. By contrast, efficient neural “ ” codes are often assumed to be optimized with respect to natural sta- cognition and perception tistics (Barlow 1961;Laughlin1981), which vary on a much longer timescale. This distinction seems largely aligned with the one made under (1), with shorter timescales being associated with task Eric Mandelbauma, Isabel Wonc, Steven Grossb specificity. Resource-rational models are often non-committal and Chaz Firestonec about the timescales over which the optimization occurs. Recent work on efficient codes in nonstationary environments (Młynarski aBaruch College, CUNY Graduate Center, Department of Philosophy, New York, and Hermundstad 2018)holdspromiseforbridgingthedivide. NY10016; bDepartment of Philosophy, Johns Hopkins University, Baltimore, Learning to be resource-rational. A question that is not often MD 21218; and cDepartment of Psychological & Brain Sciences, Johns Hopkins asked is how resource-rational mechanisms are learned. The target University, Baltimore, MD 21218 article simply defines a constrained optimum and supposes that [email protected] “evolution, cognitive development, and life-long learning” have [email protected] somehow solved it, without saying how. -
Economic Theory, Ideal Types, and Rationality
Lansana Keita Economic Theory, Ideal Types, and Rationality Abstract: Contemporary economic theory is generally regarded as a scien tific or at least potentially so. The replacing of the cardinal theory of utility measurement by the ordinal theory was supposed to prepare the groundwork for economics as a genuine science. But in adopting the ordinal approach, theorists saw fit to anchor ordinal theory to axioms of choice founded on principles of rational behavior. Behavior according to these axioms was embodied in the ideal type model of rational economic man. This model served the basis for scientific explanation of the choices made by actual economic agents. I argue though that the postulate of rationality is a normative principle and that this compromises the scientific pre tensions of economic theory. Yet the theorist must rely on this principle to formulate predictive and explanatory theories. This raises questions as to whether it is possible that economic theory satisfy the same kind of scientific criteria set down for research in the natural sciences. I. It is generally assumed that of all the social sciences, econom ics is the most promising candidate for acceptance as a science. Theories in economics conform to the formal requirements de manded of theories in natural science in the sense that they possess basic postulates, axioms and laws whose function is to describe at a fundamental level some segment of the empir ical world particular to the discipline itself. Predictive and explanatory theories are then constructed from these posited axioms and postulates. For example, microeconomic theory which is founded on a set of axioms of choice purports to predict and explain the behavior of the consumer and that of the entre preneur. -
Infographic I.10
The Digital Health Revolution: Leaving No One Behind The global AI in healthcare market is growing fast, with an expected increase from $4.9 billion in 2020 to $45.2 billion by 2026. There are new solutions introduced every day that address all areas: from clinical care and diagnosis, to remote patient monitoring to EHR support, and beyond. But, AI is still relatively new to the industry, and it can be difficult to determine which solutions can actually make a difference in care delivery and business operations. 59 Jan 2021 % of Americans believe returning Jan-June 2019 to pre-coronavirus life poses a risk to health and well being. 11 41 % % ...expect it will take at least 6 The pandemic has greatly increased the 65 months before things get number of US adults reporting depression % back to normal (updated April and/or anxiety.5 2021).4 Up to of consumers now interested in telehealth going forward. $250B 76 57% of providers view telehealth more of current US healthcare spend % favorably than they did before COVID-19.7 could potentially be virtualized.6 The dramatic increase in of Medicare primary care visits the conducted through 90% $3.5T telehealth has shown longevity, with rates in annual U.S. health expenditures are for people with chronic and mental health conditions. since April 2020 0.1 43.5 leveling off % % Most of these can be prevented by simple around 30%.8 lifestyle changes and regular health screenings9 Feb. 2020 Apr. 2020 OCCAM’S RAZOR • CONJUNCTION FALLACY • DELMORE EFFECT • LAW OF TRIVIALITY • COGNITIVE FLUENCY • BELIEF BIAS • INFORMATION BIAS Digital health ecosystems are transforming• AMBIGUITY BIAS • STATUS medicineQUO BIAS • SOCIAL COMPARISONfrom BIASa rea• DECOYctive EFFECT • REACTANCEdiscipline, • REVERSE PSYCHOLOGY • SYSTEM JUSTIFICATION • BACKFIRE EFFECT • ENDOWMENT EFFECT • PROCESSING DIFFICULTY EFFECT • PSEUDOCERTAINTY EFFECT • DISPOSITION becoming precise, preventive,EFFECT • ZERO-RISK personalized, BIAS • UNIT BIAS • IKEA EFFECT and • LOSS AVERSION participatory. -
A Model of Boundedly Rational “Neuro” Agents
A Model of Boundedly Rational “Neuro” Agents Kfir Eliaz (corressponding author) Tel Aviv University and University of Michigan [email protected] Ariel Rubinstein Tel Aviv University and New York University [email protected] Abstract. We propose a simple model in which a boundedly rational agent observes not only the choices made by others, but also some information about the process that led them to those choices. We consider two cases: In the first, an agent observes whether another agent has compared the alternatives before making his choice. In the second, he also observes whether the decision was hasty. It is shown that the probability of making a mistake is higher in the second case and that the existence of these non-standard “neuro” observations systematically biases the equilibrium distribution of choices. Keywords: Bounded Rationality, Neuroeconomics. The second author acknowledges financial support from ERC grant 269143. We would like to thank Zvi Artstein, Hadar Binsky, Tom Cunningham and especially Neil Thakral for their assistance. 1 1. Introduction The standard method of modeling a decision maker in economics utilizes the concept of a choice function, which assigns a single alternative (“the choice”) to every subset of available alternatives (“a choice problem”) in some relevant domain. Thus, CA a means that the agent chooses the alternative a from the set A. Recent advances in choice theory have extended the traditional definition of a choice problem to include additional information, referred to as a frame. A frame represents the circumstances in which the choice problem was encountered, circumstances that do not affect the preferences of the decision maker, but may nevertheless affect his choice. -
Rational Choice Theory: Toward a Psychological, Social, and Material Contextualization of Human Choice Behavior
Theoretical Economics Letters, 2016, 6, 195-207 Published Online April 2016 in SciRes. http://www.scirp.org/journal/tel http://dx.doi.org/10.4236/tel.2016.62022 Rational Choice Theory: Toward a Psychological, Social, and Material Contextualization of Human Choice Behavior Tom Burns1,2, Ewa Roszkowska3 1Department of Sociology, University of Uppsala, Uppsala, Sweden 2Lisbon University Institute/CIES-ISCTE, Lisbon, Portugal 3Faculty of Economy and Management, University of Bialystok, Bialystok, Poland Received 4 March 2016; accepted 11 April 2016; published 14 April 2016 Copyright © 2016 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract The main purpose of this paper is to provide a brief overview of the rational choice approach, fol- lowed by an identification of several of the major criticisms of RCT and its conceptual and empiri- cal limitations. It goes on to present a few key initiatives to develop alternative, more realistic ap- proaches which transcend some of the limitations of Rational Choice Theory (RCT). Finally, the ar- ticle presents a few concluding reflections and a table comparing similarities and differences be- tween the mainstream RCT and some of the initial components of an emerging choice theory. Our method has been to conduct a brief selective review of rational choice theoretical formulations and applications as well as a review of diverse critical literature in the social sciences where ra- tional choice has been systematically criticized. We have focused on a number of leading contri- butors (among others, several Nobel Prize Recipients in economics, who have addressed rational choice issues). -
Resource-Rational Analysis: Understanding Human Cognition As the Optimal Use of Cambridge.Org/Bbs Limited Computational Resources
Behavioral and Brain Sciences Resource-rational analysis: Understanding human cognition as the optimal use of cambridge.org/bbs limited computational resources a b Target Article Falk Lieder and Thomas L. Griffiths a b Cite this article: Lieder F, Griffiths TL. (2020) Max Planck Institute for Intelligent Systems, Tübingen 72076, Germany and Departments of Psychology and Resource-rational analysis: Understanding Computer Science, Princeton University, Princeton, New Jersey 08544, USA human cognition as the optimal use of limited [email protected] https://re.is.mpg.de computational resources. Behavioral and Brain [email protected] https://psych.princeton.edu/person/tom-griffiths Sciences 43,e1:1–60. doi:10.1017/ S0140525X1900061X Abstract Target Article Accepted: 18 January 2019 Modeling human cognition is challenging because there are infinitely many mechanisms that Target Article Manuscript Online: 4 February can generate any given observation. Some researchers address this by constraining the hypoth- 2019 Commentaries Accepted: 22 May 2019 esis space through assumptions about what the human mind can and cannot do, while others constrain it through principles of rationality and adaptation. Recent work in economics, psy- Keywords: chology, neuroscience, and linguistics has begun to integrate both approaches by augmenting bounded rationality; cognitive biases; rational models with cognitive constraints, incorporating rational principles into cognitive cognitive mechanisms; cognitive modeling; representations; resource rationality -
Rationality Vs Reality: the Dissonance Between Economic Models and Experimental Data Piotr Broda College of the Holy Cross, [email protected]
College of the Holy Cross CrossWorks Honors Theses Honors Projects 4-2017 Rationality vs Reality: The Dissonance between Economic Models and Experimental Data Piotr Broda College of the Holy Cross, [email protected] Follow this and additional works at: https://crossworks.holycross.edu/honors Part of the Behavioral Economics Commons, and the Psychology Commons Recommended Citation Broda, Piotr, "Rationality vs Reality: The Dissonance between Economic Models and Experimental Data" (2017). Honors Theses. 13. https://crossworks.holycross.edu/honors/13 This Thesis is brought to you for free and open access by the Honors Projects at CrossWorks. It has been accepted for inclusion in Honors Theses by an authorized administrator of CrossWorks. Rationality vs Reality: The Dissonance between Economic Models and Experimental Data Piotr Broda Honors Thesis College Honors Program Advisor: Professor Mark Hallahan Reader: Professor Kolleen Rask Broda 1 Abstract Rationality was not embedded in economic theory from its onset. In fact, the discipline started with a more holistic approach to human nature, incorporating notions of empathy and altruism. It was not until economics progressed and became more concerned with mathematical models and abstract theories that rationality entered the fray. Game theory, developed in the 1940s, established several axioms about human behavior that presented people as perfectly rational economic agents. It was not until behavioral researchers started investigating the question of rationality that the economic worldview was critically challenged. This research was the driving force in the development of behavioral economics. In particular, ultimatum game experiments demonstrate systematic deviations from rational decision-making. As more and more research has emerged documenting how observed human behavior challenges the predictions of neoclassical economic theory, mainstream economics has begun incorporating these ideas.