IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/24931.html

Econographics

Author

Listed:
  • Jonathan Chapman
  • Mark Dean
  • Pietro Ortoleva
  • Erik Snowberg
  • Colin Camerer

Abstract

We study the pattern of correlations across a large number of behavioral regularities, with the goal of creating an empirical basis for more comprehensive theories of decision-making. We elicit 21 behaviors using an incentivized survey on a representative sample (n=1,000) of the U.S. population. Our data show a clear and relatively simple structure underlying the correlations between these measures. Using principal components analysis, we reduce the 21 variables to six components corresponding to clear clusters of high correlations. We examine the relationship between these components, cognitive ability, and demographics, and discuss the theoretical implications of the structure we uncover and find a number of relations that partly confirm, but also add nuance, to previous findings.

Suggested Citation

  • Jonathan Chapman & Mark Dean & Pietro Ortoleva & Erik Snowberg & Colin Camerer, 2018. "Econographics," NBER Working Papers 24931, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24931
    Note: DEV LE PE POL
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w24931.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Nobuyuki Hanaki & Keigo Inukai & Takehito Masuda & Yuta Shimodaira, 2021. "Participants’ Characteristics at ISER-Lab in 2020," ISER Discussion Paper 1141, Institute of Social and Economic Research, The University of Osaka.
    3. Tomáš Jagelka, 2024. "Are Economists’ Preferences Psychologists’ Personality Traits? A Structural Approach," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 910-970.
    4. Christopher P. Chambers & Federico Echenique & Nicolas S. Lambert, 2021. "Recovering Preferences From Finite Data," Econometrica, Econometric Society, vol. 89(4), pages 1633-1664, July.
    5. Yoram Halevy & Emre Ozdenoren, 2022. "Uncertainty and compound lotteries: calibration," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(2), pages 373-395, September.
    6. Basu, Pathikrit & Echenique, Federico, 2020. "On the falsifiability and learnability of decision theories," Theoretical Economics, Econometric Society, vol. 15(4), November.

    More about this item

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:24931. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.