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Time-of-day and day-of-week variations in Amazon Mechanical Turk survey responses

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  • Binder, Carola Conces

Abstract

Social science research studies are frequently conducted on Amazon Mechanical Turk (MTurk). I use data from four previous surveys of inflation expectations on MTurk, with a total of 2780 observations, to study how participant characteristics and behaviors depend on the day of the week and time of day of participation. Saturday participants are older, less educated, and more likely to have low income. Even controlling for demographics, Saturday participants are more likely to answer objective knowledge questions correctly and to provide reasonable inflation forecasts, and less likely to provide “don’t know” responses. They are also less likely to provide nonsensical responses when asked for open-ended comments. Time-of-day effects are less notable. Standard data cleaning procedures typically neither reduce nor exacerbate these patterns. I add data from several other studies in political science and psychology, and find similar Saturday effects with a sample size of over 8000. I discuss implications for various research designs, especially in macroeconomics applications.

Suggested Citation

  • Binder, Carola Conces, 2022. "Time-of-day and day-of-week variations in Amazon Mechanical Turk survey responses," Journal of Macroeconomics, Elsevier, vol. 71(C).
  • Handle: RePEc:eee:jmacro:v:71:y:2022:i:c:s016407042100077x
    DOI: 10.1016/j.jmacro.2021.103378
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    1. Olivier Armantier & Scott Nelson & Giorgio Topa & Wilbert van der Klaauw & Basit Zafar, 2016. "The Price Is Right: Updating Inflation Expectations in a Randomized Price Information Experiment," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 503-523, July.
    2. Carola Binder, 2020. "Coronavirus Fears and Macroeconomic Expectations," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 721-730, October.
    3. Olivier Armantier & Wändi Bruine de Bruin & Giorgio Topa & Wilbert van der Klaauw & Basit Zafar, 2015. "Inflation Expectations And Behavior: Do Survey Respondents Act On Their Beliefs?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 505-536, May.
    4. Lamla, Michael J. & Vinogradov, Dmitri V., 2019. "Central bank announcements: Big news for little people?," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 21-38.
    5. Coibion, Olivier & Gorodnichenko, Yuriy & Kumar, Saten & Pedemonte, Mathieu, 2020. "Inflation expectations as a policy tool?," Journal of International Economics, Elsevier, vol. 124(C).
    6. John Horton & David Rand & Richard Zeckhauser, 2011. "The online laboratory: conducting experiments in a real labor market," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
    7. Carola Binder & Alex Rodrigue, 2018. "Household Informedness and Long‐Run Inflation Expectations: Experimental Evidence," Southern Economic Journal, John Wiley & Sons, vol. 85(2), pages 580-598, October.
    8. Carola Binder, 2021. "Presidential antagonism and central bank credibility," Economics and Politics, Wiley Blackwell, vol. 33(2), pages 244-263, July.
    9. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    10. Binder, Carola Conces, 2021. "Household expectations and the release of macroeconomic statistics," Economics Letters, Elsevier, vol. 207(C).
    11. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    12. Olivier Coibion & Yuriy Gorodnichenko & Edward S. Knotek & Raphael Schoenle, 2023. "Average Inflation Targeting and Household Expectations," Journal of Political Economy Macroeconomics, University of Chicago Press, vol. 1(2), pages 403-446.
    13. Theresa Kuchler & Basit Zafar, 2019. "Personal Experiences and Expectations about Aggregate Outcomes," Journal of Finance, American Finance Association, vol. 74(5), pages 2491-2542, October.
    14. Olivier Armantier & Wändi Bruine de Bruin & Giorgio Topa & Wilbert Klaauw & Basit Zafar, 2015. "Inflation Expectations And Behavior: Do Survey Respondents Act On Their Beliefs?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 505-536, May.
    15. Ricardo Reis, 2021. "Losing the inflation anchor," Discussion Papers 2123, Centre for Macroeconomics (CFM).
    16. Binder, Carola C., 2017. "Measuring uncertainty based on rounding: New method and application to inflation expectations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 1-12.
    17. Kevin E. Levay & Jeremy Freese & James N. Druckman, 2016. "The Demographic and Political Composition of Mechanical Turk Samples," SAGE Open, , vol. 6(1), pages 21582440166, March.
    18. Antonio A. Arechar & Gordon T. Kraft-Todd & David G. Rand, 2017. "Turking overtime: how participant characteristics and behavior vary over time and day on Amazon Mechanical Turk," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 3(1), pages 1-11, July.
    19. Carola Binder, 2017. "Federal Reserve Communication and the Media," Journal of Media Economics, Taylor & Francis Journals, vol. 30(4), pages 191-214, October.
    20. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
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