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Notes on Behavioral Economics and Labor Market Policy
Notes on Behavioral Economics and Labor Market Policy Linda Babcock, Carnegie Mellon University William J. Congdon, The Brookings Institution Lawrence F. Katz, Harvard University Sendhil Mullainathan, Harvard University December 2010 We are grateful to Jeffrey Kling for extensive discussions of these topics. We thank the Alfred P. Sloan Foundation and the Russell Sage Foundation for their support of this project. 0. Background and motivation Recent years have been trying ones for American workers. The unemployment rate has reached double digits for the first time in over a quarter of a century. Worker compensation growth has all but stalled. The human costs of labor market turbulence have rarely been clearer, and the value of public policies, such as unemployment insurance and job training programs, that assist workers in managing that turbulence, gaining new skills, and navigating the labor market have rarely been more apparent. And, even in the best of times, the United States’ labor market is a dynamic and turbulent one, with high rates of turnover (over five million separations and five million new hires in a typical month in normal times) but substantial frictions as well. As a result, labor market programs and regulations are key components of economic policy. Such policies help support the unemployed, provide education and training opportunities, and ensure the fairness, safety, and accessibility of the workplace. The challenge for policymakers is to design such policies so that they meet these goals as effectively and as efficiently as possible. Labor market policies succeed in meeting their objectives, however, only to the extent that they accurately account for how individuals make decisions about work and leisure, searching for jobs, and taking up opportunities for education and training. -
Neuroeconomics, Rationality and Preference Formation: Methodological Implications for Economic Theory
Neuroeconomics, Rationality and Preference Formation: Methodological Implications for Economic Theory Nuno Martins* Portuguese Catholic University Faculty of Economics and Management Rua Diogo Botelho, 1327 4169-005 Porto, Portugal E-mail: [email protected] Telephone number: +351917729069 03 June 2007 Preliminary draft – please do not quote Abstract: Recent advances in cognitive neuroscience research suggest that different preference orderings and choices may emerge depending on which brain circuits are activated. This contradicts the microeconomic postulate that one complete preference ordering provides sufficient information to predict choice and behaviour. Amartya Sen argued before how the emergence of a complete preference ordering may be prevented by the existence of conflicting motivations, but does not provide an explanation of how the latter are formed and how they impact on choice. I will examine and develop Sen’s critique of mainstream microeconomic theory resorting to recent developments in the study of neurobiological structures. Keywords: Sen, neuroeconomics, rationality, preference ordering, closed system JEL classifications: B41, D00 *Assistant Professor at the Faculty of Economics and Management of the Portuguese Catholic University, Porto, and researcher at CEGE. CEGE – Centro de Estudos em Gestão e Economia – is supported by the Fundação para a Ciência e a Tecnologia, Portugal, through the Programa Operacional Ciência e Inovação (POCI) of the Quadro Comunitário de Apoio III, which is financed by FEDER and Portuguese funds. For extremely valuable comments I am most thankful to Sabina Alkire, Tony Lawson, and the participants of the Workshop on Multidimensional Comparisons, organised by the Oxford Poverty and Human Development Initiative, Department of International Development, University of Oxford. -
Neuroeconomics: the Neurobiology of Decision-Making
Neuroeconomics: The Neurobiology of Decision-Making Ifat Levy Section of Comparative Medicine Department of Neurobiology Interdepartmental Neuroscience Program Yale School of Medicine Harnessing eHealth and Behavioral Economics for HIV Prevention and Treatment April 2012 Overview • Introduction to neuroeconomics • Decision under uncertainty – Brain and behavior – Adolescent behavior – Medical decisions Overview • Introduction to neuroeconomics • Decision under uncertainty – Brain and behavior – Adolescent behavior – Medical decisions Neuroeconomics NeuroscienceNeuronal MentalPsychology states “asEconomics if” models architecture Abstraction Neuroeconomics Behavioral Economics Neuroscience Psychology Economics Abstraction Neuroscience functional MRI VISUAL STIMULUS functional MRI: Blood Oxygenation Level Dependent signals Neural Changes in oxygen Change in activity consumption, blood flow concentration of and blood volume deoxyhemoglobin Change in Signal from each measured point in space at signal each point in time t = 1 t = 2 t = 3 t = 4 t = 5 t = 6 dorsal anterior posterior lateral ventral dorsal anterior medial posterior ventral Anterior The cortex Cingulate Cortex (ACC) Medial Prefrontal Cortex (MPFC) Posterior Cingulate Cortex (PCC) Ventromedial Prefrontal Cortex (vMPFC) Orbitofrontal Cortex (OFC) Sub-cortical structures fMRI signal • Spatial resolution: ~3x3x3mm3 Low • Temporal resolution: ~1-2s Low • Number of voxels: ~150,000 High • Typical signal change: 0.2%-2% Low • Typical noise: more than the signal… High But… • Intact human -
Decision Making and Keynesian Uncertainty in Financial Markets: an Interdisciplinary Approach
Decision making and Keynesian uncertainty in financial markets: an interdisciplinary approach Ms Eirini Petratou, PhD candidate in Economics division, Leeds University Business School Abstract: This interdisciplinary research examines decision-making in financial markets, regarding secondary markets and financial innovation in Europe, so as to unveil the multiple dimensions of this complexly-layered world of financial interactions. Initially, I synthesise different literatures, including Post-Keynesian economics, behavioural economics and finance, and decision-making theory, in order to shape a more complete understanding of behaviours and outcomes in financial markets. Particularly, I focus on an analysis of Keynesian uncertainty in order to show the need of economic science for interdisciplinary research, on theoretical and methodological levels, and also to highlight potential links between Post-Keynesian theory and behavioural economics. After presenting the active role of decision-making under uncertainty into the creation of financial bubbles, as incorporated in Post-Keynesian economics, I support my argument by presenting findings obtained by a series of semi-structured interviews I conducted in 2016 in the UK, in order to investigate financial traders’ beliefs, perspectives and terminology about decision-making under uncertainty in financial markets. The goal of this qualitative project is to identify market professionals’ beliefs about market uncertainty and how they deal with it, to find out their knowledge about causes of the -
Volatility As Link Between Risk and Memory in Economics, Econometrics and Neuroeconomics: an Application for the Bolivian Inflation Rate 1938 - 2012
Volatility as link between risk and memory in Economics, Econometrics and Neuroeconomics: an application for the Bolivian Inflation Rate 1938 - 2012 María Edith Chacón B. [email protected] Teacher and researcher CIDES – UMSA. La Paz, Bolivia. Ernesto Sheriff B. [email protected] Teacher and researcher CIDES – UMSA and UPB. La Paz, Bolivia. Experimental and Behavioral Economics: Other Neuroeconomics Econometrics: Time Series ABSTRACT This paper provides an indicator that measures memory as a stock. Memory affects economic decisions thus the memory indicator is useful to help in applied work, it was built according to the state of the art in Psychology and Neuroeconomics and it is presented as a time series; it is a recursive one and it is represented by an accumulated measure of the volatility. Many theories of risk have used volatility indicators to represent risk in the applied work. Risk valuation is associated to volatility and it is very sensitive to periods in which it is measured; it is very sensitive too to the type of data associated to volatility. In this paper we found that the memory affects risk valuations and the link between them is a special kind of volatility i.e. accumulated volatility with an endogenous initialization period and compatible with many Psychological hypotheses. The developed indicator is compatible with the econometrics of stationary series, integrated series and fractional integrated series. These contributions help to improve the study of hysteresis in applied economics, to develop more consistent links between memory and risk in Neuroeconomics and, to obtain more confident time series models in econometrics using the new indicator. -
Nudging Cooperation in Public Goods Provision
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Barron, Kai; Nurminen, Tuomas Article — Accepted Manuscript (Postprint) Nudging cooperation in public goods provision Journal of Behavioral and Experimental Economics Provided in Cooperation with: WZB Berlin Social Science Center Suggested Citation: Barron, Kai; Nurminen, Tuomas (2020) : Nudging cooperation in public goods provision, Journal of Behavioral and Experimental Economics, ISSN 2214-8043, Elsevier, Amsterdam, Vol. 88, Iss. (Article No.:) 101542, http://dx.doi.org/10.1016/j.socec.2020.101542 This Version is available at: http://hdl.handle.net/10419/216878 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von -
Competition and Cooperation on Predation: Bifurcation Theory of Mutualism Author: Srijana Ghimire Xiang-Sheng Wang University of Louisiana at Lafayette
Competition and Cooperation on Predation: Bifurcation Theory Of Mutualism Author: Srijana Ghimire Xiang-Sheng Wang University of Louisiana at Lafayette Introduction Existence and Stability of E1,E+ and E− Existence and property of Hopf bifurcation 3. R > 1 and R > 3R − 2R2. In this case, Q = Q , 1 2 1 1 c 1 points We investigate two predator-prey models which take into con- xc = 1/R1, E1 always exists, E1 is locally asymptotically H E + H E E sideration the cooperation between two different predators and stable if and only if Q < Q1, E− does not exist, and E+ exits + + R H within one predator species, respectively. Local and global dy- if and only if Q > Q1. 2.0 E E E - namics are studied for the model systems. By a detailed bi- - - Q Q Q Q Q Q furcation analysis, we investigate the dependence of predation + + h + h1 h2 1.5 no Hopf bifurcation Existence conditions of positive equilibria. (a) case 1(a) (b) case 1(b) (c) case 1(c) dynamics on mutualism (cooperative predation). H H E R + 2 E E two supercritical + + 1.0 R2 > 1 Q H E+ E - E Q1 - E y y - First Predator-Prey Model with Competition 1 E 1 E 1 1 y 1 E 1 0.5 one supercritical NA Q Q Q Q Q Q Q Q Q and Co-operation 1 + 1 + 1 h + h1 1 h2 R2 < one Q R1 NA if Q < Q1 (d) case 2(a) (e) case 2(b) (f) case 2(c) E± subcritical E+ if Q ≥ Q1 E+ d 0 H 0 2 4 6 8 E x = 1 − x − p xy − p xz − 2qxyz, (1) + 1 2 Q+ E Q1 + 0 Figure: Existence and property of Hopf bifurcation points in the (d, R) y = p xy + qxyz − d y, (2) 2 1 1 R2 = 3R1 − 2R NA 1 H parameter space. -
Behavioral Economics Comes of Age
Behavioral Economics Comes of Age Wolfgang Pesendorfer† Princeton University May 2006 † I am grateful to Markus Brunnermeier, Drew Fudenberg, Faruk Gul and Wei Xiong for helpful comments. 1. Introduction The publication of “Advances in Behavioral Economics” is a testament to the success of behavioral economics. The book contains important second-generation contributions to behavioral economics that build on the seminal work by Kahnemann, Tversky, Thaler, Strotz and others. Behavioral economics is organized around experimental findings that suggest inade- quacies of standard economic theories. The most celebrated of those are (i) failures of expected utility theory; (ii) the endowment effect; (iii) hyperbolic discounting and (iv) social preferences. Most of the articles collected in Advances deal with one of these four topics. Expected Utility: Expected utility theory assumes the independence axiom. The (stochastic version of the) independence axiom says that the frequency with which a pool of subjects chooses lottery p over q doesnotchangewhenbothlotteriesaremixedwithsome common lottery r. Experiments by Allais, Kahnemann and Tversky and others demon- strate systematic failures of the independence axiom. Chapter 4 in the book discusses this experimental evidence and the theories that address it. Kahnemann and Tversky (1979) develop prospect theory to address the failures of expected utility theory. They argue that when analyzing choice under uncertainty it is not enough to know the lotteries an agent is choosing over. Rather, we must know more about thesubject’ssituationatthetimehemakeshischoice.Prospecttheorydistinguishes between gains and losses from a situation-specific reference point. The agent evaluates gains and losses differently and exhibits first-order risk aversion locally around the reference point. The Endowment Effect: In standard consumer theory, demand is a function of wealth and prices but does not depend on the composition of the endowment. -
Game-Theoretic Analysis of Cooperation Incentive Strategies in Mobile Ad Hoc Networks
1 Game-Theoretic Analysis of Cooperation Incentive Strategies in Mobile Ad Hoc Networks Ze Li and Haiying Shen Dept. of Electrical and Computer Engineering Clemson University, Clemson, SC 29631 fzel,[email protected] F Abstract—In mobile ad hoc networks (MANETs), tasks are conducted nodes will decrease the throughput of cooperative nodes and lead based on the cooperation of nodes in the networks. However, since the to complete network disconnection [6]. Therefore, encouraging nodes are usually constrained by limited computation resources, selfish nodes to be cooperative and detecting selfish nodes in packet nodes may refuse to be cooperative. Reputation systems and price-based transmission is critical to ensuring the proper functionalities of systems are two main solutions to the node non-cooperation problem. A reputation system evaluates node behaviors by reputation values and uses MANETs. a reputation threshold to distinguish trustworthy nodes and untrustworthy Recently, numerous approaches have been proposed to deal nodes. A price-based system uses virtual cash to control the transactions with the node non-cooperation problem in wireless networks. of a packet forwarding service. Although these two kinds of systems have They generally can be classified into two main categories: reputa- been widely used, very little research has been devoted to investigating the tion systems and price-based systems. The basic goal of reputation effectiveness of the node cooperation incentives provided by the systems. systems [7–18] is to evaluate each node’s trustworthiness based In this paper, we use game theory to analyze the cooperation incentives provided by these two systems and by a system with no cooperation on its behaviors and detect misbehaving nodes according to rep- incentive strategy. -
Economists As Worldly Philosophers
Economists as Worldly Philosophers Robert J. Shiller and Virginia M. Shiller Yale University Hitotsubashi University, March 11, 2014 Virginia M. Shiller • Married, 1976 • Ph.D. Clinical Psychology, University of Delaware 1984 • Intern, Cambridge Hospital, Harvard Medical School, 1980-1 • Clinical Instructor, Yale Child Study Center, since 2000 • Private practice with children, adults, and families Robert Heilbroner 1919-2005 • His book The Worldly Philosophers: Lives, Times and Ideas of the Great Economic Thinkers, 1953, sold four million copies • Adam Smith, Henry George, Karl Marx, John Stewart Mill, John Maynard Keynes, Thomas Malthus Example: Adam Smith • Theory of Moral Sentiments, 1759 • The Wealth of Nations, 1776 • Did not shrink from moral judgments, e. g., frugality Example: John Maynard Keynes • Economic Consequences of the Peace • The General Theory of Employment, Interest and Money, 1936 Economics as a Moral Science • The kinds of questions economists are asked to opine on are inherently moral • Moral calculus requires insights into the complexities of human behavior • A plea for behavioral economics and a broader focus for economic research Kenneth Boulding 1910-1993 • “We cannot escape the proposition that as science moves from pure knowledge toward control, that is, toward creating what it knows, what it creates becomes a problem of ethical choice, and will depend upon the common values of the societies in which the scientific culture is embedded, as well as of the scientific subculture.” Boulding on the Theory that People Maximize Utility of their Own Consumption • That there is neither malevolence nor benevolence anywhere in the system is demonstrably false. • “Anything less descriptive of the human condition could hardly be imagined.” (from American Economics Association Presidential Address, 1968). -
Prospect Theory
Prospect Theory Warwick Economics Summer School Prospect Theory Eugenio Proto University of Warwick, Department of Economics July 19, 2016 Prospect Theory, 1 of 44 Prospect Theory Outline 1 General Introduction 2 The Expected Utility Theory 3 Main Departures from Expected Utility 4 Prospect Theory 5 Empirical Evidence Finance Economic Development Housing Markets Labor Market Domestic Violence 6 Summary Prospect Theory, 2 of 44 Prospect Theory General Introduction Behavioral Economics Economics and Psychology were not separated Adam Smith: The theory of Moral Sentiments Jeremy Bentham, the psychological underpinnings of Utility Francis Edgeworth, concept of envy in Utility Functions Prospect Theory, 3 of 44 Prospect Theory General Introduction Behavioral Economics, cont'd Neoclassical Revolution separated clearly Psychology and Economics Economics like a natural (and not a social) science Psychology has too unsteady foundations Utility can be defined as an ordinal (and not a cardinal) object Rejection of the hedonistic assumptions of Benthamite Utility Neoclassical economists expunged the psychology from economics Prospect Theory, 4 of 44 Prospect Theory General Introduction Behavioral Economics, cont'd Some early Criticism to the neoclassical economy from Irwing Fisher, J.M. Keynes,, Herbert Simon More from Allais (1953), Ellsberg (1961), Markowitz (1952), Strotz (1955), following the Expected Utility Theory and the discounted utility models Kahneman and Tversky (1979) on expected utility, Thaler (1981) and Loewenstain and Prelec (1992) -
2 Cognitive Load Increases Risk Aversion 5 2.1 Introduction
Essays in Experimental and Neuroeconomics DISSERTATION zur Erlangung des akademischen Grades Dr. rer. pol. im Fach Volkswirtschaftslehre eingereicht an der Wirtschaftswissenschaftlichen Fakultät der Humboldt-Universität zu Berlin von Diplom-Volkswirt Holger Gerhardt geboren am 17. Januar 1978 in Arnsberg Präsident der Humboldt-Universität zu Berlin: Prof. Dr. Jan-Hendrik Olbertz Dekan der Wirtschaftswissenschaftlichen Fakultät: Prof. Oliver Günther, Ph. D. Gutachter: 1. Prof. Lutz Weinke, Ph. D. 2. Prof. Dr. Hauke R. Heekeren eingereicht am: 9. Mai 2011 Tag des Kolloquiums: 20. Juni 2011 Contents 1 Introduction 1 Bibliography . 3 2 Cognitive load increases risk aversion 5 2.1 Introduction . 5 2.2 Related literature . 7 2.2.1 Introductory remarks . 7 2.2.2 Overview of dual-system and “dual-self” approaches . 7 2.2.3 Subjective expected-utility theory as a unitary-process model of decision making under risk . 10 2.2.4 Dual-process approaches to decision making under risk . 11 2.2.5 Empirical evidence on dual processes in decision making under risk . 12 2.3 Experimental design . 17 2.3.1 Introduction: Advantages of our design over alternative designs . 17 2.3.2 Trial setup . 18 2.3.3 Additional measures of individual differences . 24 2.4 Results . 24 2.4.1 Introductory remarks . 24 2.4.2 Were the tasks adequate? . 25 2.4.3 How did subjects allocate attention to the two simultane- ous tasks? . 25 2.4.4 Preference reversal?—How often did subjects choose the riskier lottery? . 26 2.4.5 Structural regressions: the influence of additional cognitive load on subjects’ degree of relative risk aversion .