All or (almost) nothing? The influence of information cost and training on information selection and the quality of decision-making

The following experiment examines the influence of cost of information and training on the quality of individual investment decisions. We expand upon the existing behavioral literature by proposing a new scenario experiment which enables us to study individual and institutional factors influencing the selection and processing of information that lead to an investment decision. The amount and type of information used, as well as the time of information processing of individual decision-makers will be measured by subjects' interaction in the experimental task. Furthermore, we examine whether or not cost of information and training indeed influence the quality of (investment) decision-making. The results suggest that training is crucial to the amount and type of information used as trained individuals make better investment decisions, using the most relevant information.

[1]  Dennis J. Devine,et al.  Domain-Specific Knowledge and Task Characteristics in Decision Making , 1995 .

[2]  J. Shanteau.  How much information does an expert use? Is it relevant? , 1992 .

[3]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[4]  John W. Payne,et al.  Monitoring Information Processing and Decisions: The Mouselab System , 1989 .

[5]  Barry L. Lewis,et al.  Determinants of Auditor Expertise , 1990 .

[6]  Donald O. Case,et al.  Looking for Information: A Survey of Research on Information Seeking, Needs and Behavior , 2012 .

[7]  Nicholas J. Belkin,et al.  Information Concepts for Information Science , 1978, J. Documentation.

[8]  Robert Libby,et al.  Incentives, Effort, And The Cognitive-Processes Involved In Accounting-Related Judgments , 1992 .

[9]  Susan Artandi,et al.  Information concepts and their utility , 1973, J. Am. Soc. Inf. Sci..

[10]  Sarah E. Bonner.  Experience Effects in Auditing: The Role of Task-Specific Knowledge , 2016 .

[11]  Dedre Gentner,et al.  Causal Systems Categories: Differences in Novice and Expert Categorization of Causal Phenomena , 2012, Cogn. Sci..

[12]  Michael G. Pratt,et al.  When should I trust my gut? Linking domain expertise to intuitive decision-making effectiveness , 2012 .

[13]  Carl R. Adams,et al.  Integrating Decision Technologies: Implications for Management Curriculum , 1989, MIS Q..

[14]  Brian C. Spilker,et al.  The effects of time pressure and knowledge on key word selection behavior in tax research , 1995 .

[15]  J. B. Heaton,et al.  Managerial Optimism and Corporate Finance , 1997 .

[16]  K. B. Murray.  A Test of Services Marketing Theory: Consumer Information Acquisition Activities , 1991 .

[17]  Martin Weber,et al.  Information Aggregation with Costly Information and Random Ordering: Experimental Evidence , 2006 .

[18]  C. Cloyd,et al.  Performance in Tax Research Tasks: The Joint Effects of Knowledge and Accountability , 1998 .

[19]  J. Lanzetta,et al.  Information cost, amount of payoff, and level of aspiration as determinants of information seeking in decision making , 2007 .

[20]  G. Loewenstein,et al.  The Economics of Meaning , 2004 .

[21]  Michelene T. H. Chi,et al.  Expertise in Problem Solving. , 1981 .

[22]  Robert S. Taylor.  The process of asking questions , 1962 .

[23]  U. Fischbacher.  z-Tree: Zurich toolbox for ready-made economic experiments , 1999 .

[24]  M. Chi,et al.  The Nature of Expertise , 1988 .

[25]  D. Herrmann,et al.  Problem perception and knowledge structure in expert and novice mathematical problem solvers. , 1982 .

[26]  J. Shanteue.  COMPETENCE IN EXPERTS: THE ROLE OF TASK CHARACTERISTICS , 1992 .

[27]  Douglas A. Hershey,et al.  Knowledge versus experience in financial problem solving performance , 2000 .

[28]  George Loewenstein,et al.  Curiosity, Information Gaps, and the Utility of Knowledge , 2011 .

[29]  Tobias F. Rötheli.  Acquisition of costly information: an experimental study , 2001 .

[30]  Kevin Keasey,et al.  Gambling with the house money in capital expenditure decisions: An experimental analysis , 1996 .

[31]  Sarah E. Bonner,et al.  The Effects of Domain Experience and Task Presentation Format on Accountants' Information Relevance Assurance , 2001 .

[32]  George J. Spilich,et al.  Acquisition of domain-related information in relation to high and low domain knowledge. , 1979 .

[33]  R. Selten,et al.  Aspiration Adaptation Theory. , 1998, Journal of mathematical psychology.

[34]  B. Newell,et al.  Search strategies in decision making: the success of “success” , 2004 .

[35]  Stephen J. Read,et al.  The effects of expertise on financial problem solving: Evidence for goal-directed, problem-solving scripts , 1990 .

[36]  H. Simon,et al.  Rational choice and the structure of the environment. , 1956, Psychological review.

[37]  James Shanteau,et al.  Reducing the influence of irrelevant information on experienced decision makers , 1984 .

[38]  Mark T. Spence,et al.  The moderating effects of problem characteristics on experts' and novices' judgments , 1997 .

[39]  David M. Frederick.  Auditors' Representation and Retrieval of Internal Control Knowledge , 2016 .

[40]  Ulrich Wilhelm Thonemann,et al.  Managers and Students as Newsvendors , 2012, Manag. Sci..

[41]  J. Mestre,et al.  The relation between problem categorization and problem solving among experts and novices , 1989, Memory & cognition.

[42]  H. Simon,et al.  Perception in chess , 1973 .

[43]  H. Simon,et al.  Theories of Decision-Making in Economics and Behavioural Science , 1966 .

[44]  Paul J. H. Schoemaker,et al.  The role of statistical knowledge in gambling decisions: Moment vs risk dimension approaches , 1979 .

[45]  Brian K. Thorn,et al.  Predecisional information acquisition: Effects of task variables on suboptimal search strategies , 1987 .

[46]  Patric Andersson.  Does experience matter in lending? A process-tracing study on experienced loan officers' and novices' decision behavior , 2004 .

[47]  Colin Camerer,et al.  The process-performance paradox in expert judgment - How can experts know so much and predict so badly? , 1991 .

[48]  T. Connolly,et al.  Information mispurchase in judgment tasks: A task-driven causal mechanism , 1988 .

[49]  John A. Barrick,et al.  The relations between knowledge, search strategy, and performance in unaided and aided information search , 2003 .

[50]  G. Loewenstein.  The psychology of curiosity: A review and reinterpretation. , 1994 .

[51]  Geoffrey B. Sprinkle,et al.  The effects of monetary incentives on effort and task performance: theories, evidence, and a framework for research , 2002 .

[52]  G. Stigler.  The Economics of Information , 1961, Journal of Political Economy.

[53]  J. G. Hülsmann.  A theory of interest , 2002 .

[54]  Beverly B. Tyler,et al.  Strategic decision models: Integrating different perspectives , 1991 .

[55]  Dorothea P. Simon,et al.  Expert and Novice Performance in Solving Physics Problems , 1980, Science.