IDEAS home Printed from https://ideas.repec.org/p/cra/wpaper/2015-06.html
   My bibliography  Save this paper

The Implications of Daylight Saving Time: A Field Experiment on Cognitive Performance and Risk Taking

Author

Listed:
  • Markus Schaffner
  • Jayanta Sarkar
  • Benno Torgler
  • Uwe Dulleck

Abstract

To explore the effects of daylights saving time (DST) transition on cognitive performance and risk-taking behaviour immediately before and one week after the shift to DST, this study examines two Australian populations living in similar geographic surroundings who experience either no DST transition (Queensland) or a one-hour DST desynchronization (New South Wales). This exogenous variation creates natural control (QLD) and treatment (NSW) groups that enable isolation and identification of the DST transition’s effect on the two outcome variables. Proximity to the border ensures similar socio-demographic and socio-economic conditions and thus permits comparison of the cognitive performance and risk-taking behaviour of affected versus unaffected individuals. The results suggest that exposure to the DST transition has no significant impact on either cognitive performance or risk-taking behaviour.

Suggested Citation

  • Markus Schaffner & Jayanta Sarkar & Benno Torgler & Uwe Dulleck, 2015. "The Implications of Daylight Saving Time: A Field Experiment on Cognitive Performance and Risk Taking," CREMA Working Paper Series 2015-06, Center for Research in Economics, Management and the Arts (CREMA).
    • Handle: RePEc:cra:wpaper:2015-06
    as

    Download full text from publisher

    File URL: https://www.crema-research.ch/papers/2015-06.pdf
    File Function: Full Text
    Download Restriction: no
    File URL: https://www.crema-research.ch/abstracts/2015-06.htm
    File Function: Abstract
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lisa A. Kramer & Mark J. Kamstra & Maurice D. Levi, 2000. "Losing Sleep at the Market: The Daylight Saving Anomaly," American Economic Review, American Economic Association, vol. 90(4), pages 1005-1011, September.
    2. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    3. John D. Hey & Chris Orme, 2018. "Investigating Generalizations Of Expected Utility Theory Using Experimental Data," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 3, pages 63-98, World Scientific Publishing Co. Pte. Ltd..
    4. Matthew J. Kotchen & Laura E. Grant, 2011. "Does Daylight Saving Time Save Energy? Evidence from a Natural Experiment in Indiana," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1172-1185, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Costs of daylight savings time
      by chris in Stumbling and Mumbling on 2016-03-26 17:38:53

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schaffner, Markus & Sarkar, Jayanta & Torgler, Benno & Dulleck, Uwe, 2018. "The implications of daylight saving time: A quasi-natural experiment on cognitive performance and risk taking behaviour," Economic Modelling, Elsevier, vol. 70(C), pages 390-400.
    2. Markus Schaffner & Jayanta Sarkar & Benno Torgler & Uwe Dulleck, 2015. "The Implications of Daylight Saving Time: A Field Experiment on Cognitive Performance and Risk Taking," CREMA Working Paper Series 2015-06, Center for Research in Economics, Management and the Arts (CREMA).
    3. Galliera, Arianna, 2018. "Self-selecting random or cumulative pay? A bargaining experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 72(C), pages 106-120.
    4. Tomas Havranek & Dominik Herman & Zuzana Irsova, 2018. "Does Daylight Saving Save Electricity? A Meta-Analysis," The Energy Journal, , vol. 39(2), pages 35-61, March.
    5. Kudela, Peter & Havranek, Tomas & Herman, Dominik & Irsova, Zuzana, 2020. "Does daylight saving time save electricity? Evidence from Slovakia," Energy Policy, Elsevier, vol. 137(C).
    6. de Castro, Luciano & Galvao, Antonio F. & Noussair, Charles N. & Qiao, Liang, 2022. "Do people maximize quantiles?," Games and Economic Behavior, Elsevier, vol. 132(C), pages 22-40.
    7. Joan Costa‐Font & Sarah Fleche & Ricardo Pagan, 2024. "The welfare effects of time reallocation: evidence from Daylight Saving Time," Economica, London School of Economics and Political Science, vol. 91(362), pages 547-568, April.
    8. Nicholas Rivers, 2018. "Does Daylight Savings Time Save Energy? Evidence from Ontario," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(2), pages 517-543, June.
    9. Hugo Salas & Pedro Ignacio Hancevic, 2023. "The unexpected effects of daylight-saving time: Traffic accidents in Mexican municipalities," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 20(1), pages 1-29, Enero-Jun.
    10. Felix Weinhardt, 2013. "The Importance of Time Zone Assignment: Evidence from Residential Electricity Consumption," SERC Discussion Papers serddp0126, Centre for Economic Performance, LSE.
    11. Friedman, Dan & Sunder, Shyam, 2011. "Risky Curves: From Unobservable Utility to Observable Opportunity Sets," Santa Cruz Department of Economics, Working Paper Series qt36q158jt, Department of Economics, UC Santa Cruz.
    12. Paolo Crosetto & Antonio Filippin, 2013. "A Theoretical and Experimental Appraisal of Five Risk Elicitation Methods," SOEPpapers on Multidisciplinary Panel Data Research 547, DIW Berlin, The German Socio-Economic Panel (SOEP).
    13. Crosetto, P. & Filippin, A., 2017. "Safe options induce gender differences in risk attitudes," Working Papers 2017-05, Grenoble Applied Economics Laboratory (GAEL).
    14. Herber, Stefanie P. & Quis, Johanna Sophie & Heineck, Guido, 2017. "Does the transition into daylight saving time affect students’ performance?," Economics of Education Review, Elsevier, vol. 61(C), pages 130-139.
    15. Shafi, Kourosh & Mohammadi, Ali, 2020. "Too gloomy to invest: Weather-induced mood and crowdfunding," Journal of Corporate Finance, Elsevier, vol. 65(C).
    16. Arianna Galliera & Noemi Pace, 2015. "To Switch or Not to Switch Payment Scheme? Determinants and Effects in a Bargaining Game," Working Papers 2015:33, Department of Economics, University of Venice "Ca' Foscari".
    17. Paolo Crosetto & Antonio Filippin, 2016. "A theoretical and experimental appraisal of four risk elicitation methods," Experimental Economics, Springer;Economic Science Association, vol. 19(3), pages 613-641, September.
    18. Christian Bünnings & Valentin Schiele, 2021. "Spring Forward, Don't Fall Back: The Effect of Daylight Saving Time on Road Safety," The Review of Economics and Statistics, MIT Press, vol. 103(1), pages 165-176, March.
    19. Irene Comeig & Charles A. Holt & Ainhoa Jaramillo-Gutiérrez, 2015. "Dealing with risk: Gender, stakes, and probability effects," Discussion Papers in Economic Behaviour 0215, University of Valencia, ERI-CES.
    20. Maroussia Favre & Amrei Wittwer & Hans Rudolf Heinimann & Vyacheslav I Yukalov & Didier Sornette, 2016. "Quantum Decision Theory in Simple Risky Choices," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-29, December.

    More about this item

    Keywords

    Daylight Saving Time; Risk-Taking Behaviour; Cognitive Performance; Field Experiment;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I1 - Health, Education, and Welfare - - Health

    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:cra:wpaper:2015-06. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Anna-Lea Werlen (email available below). General contact details of provider: https://edirc.repec.org/data/cremach.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.