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Behavioral changes in different designs of search experiments

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  • Yuta Kittaka
  • Ryo Mikami
  • Natsumi Shimada

Abstract

While search experiments are available in several designs, growing experimental evidence suggests that individual search behavior depends on design details. We conduct an experiment providing the first categorization and comparison of several search experiment designs widely accepted in search studies. These designs can be categorized as passive, quasi-active, and active, according to the degree of flexibility in decision-making regarding the search. Despite the experiment being based on an identical model, we found significant differences at the aggregate- and individual-level in the results across designs. The average number of searches was the highest and closest to the theoretical value in the active design. Compared with the active design, subjects searched significantly less in the quasiactive and passive designs. The results indicate that the widely accepted design, wherein subjects make decisions based on a given offer rather than choosing among potential alternatives themselves, may have unexpected effects on subjects’ behavior. Furthermore, subjects’ risk aversion has a significant effect only in the passive design, suggesting that out-of-model factors specific to that design may influence behavior through risk preferences. Other methodological implications for search experiments are also provided.

Suggested Citation

  • Yuta Kittaka & Ryo Mikami & Natsumi Shimada, 2021. "Behavioral changes in different designs of search experiments," ISER Discussion Paper 1148r, Institute of Social and Economic Research, Osaka University, revised Jun 2022.
  • Handle: RePEc:dpr:wpaper:1148r
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    File URL: https://www.iser.osaka-u.ac.jp/library/dp/2021/DP1148R.pdf
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    References listed on IDEAS

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    1. Charness, Gary & Gneezy, Uri & Halladay, Brianna, 2016. "Experimental methods: Pay one or pay all," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PA), pages 141-150.
    2. Andrew Caplin & Mark Dean & Daniel Martin, 2011. "Search and Satisficing," American Economic Review, American Economic Association, vol. 101(7), pages 2899-2922, December.
    3. J. Neil Bearden & Amnon Rapoport & Ryan O. Murphy, 2006. "Sequential Observation and Selection with Rank-Dependent Payoffs: An Experimental Study," Management Science, INFORMS, vol. 52(9), pages 1437-1449, September.
    4. Cox, James C & Oaxaca, Ronald L, 1989. "Laboratory Experiments with a Finite-Horizon Job-Search Model," Journal of Risk and Uncertainty, Springer, vol. 2(3), pages 301-329, September.
    5. Ben Casner, 2021. "Learning while shopping: an experimental investigation into the effect of learning on consumer search," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 238-273, March.
    6. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    7. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Eliciting Risk and Time Preferences," Econometrica, Econometric Society, vol. 76(3), pages 583-618, May.
    8. Deck, Cary & Lee, Jungmin & Reyes, Javier A. & Rosen, Christopher C., 2013. "A failed attempt to explain within subject variation in risk taking behavior using domain specific risk attitudes," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 1-24.
    9. Takao Asano & Hiroko Okudaira & Masaru Sasaki, 2015. "An experimental test of a search model under ambiguity," Theory and Decision, Springer, vol. 79(4), pages 627-637, December.
    10. Jonathan P. Beauchamp & Daniel J. Benjamin & David I. Laibson & Christopher F. Chabris, 2020. "Measuring and controlling for the compromise effect when estimating risk preference parameters," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1069-1099, December.
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