IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v218y2022ics0165176522002580.html
   My bibliography  Save this article

Good luck, bad luck, and risk taking: Evidence from a natural experiment in the housing lottery

Author

Listed:
  • Li, Feng
  • Wang, Xintao
  • Lu, Ping

Abstract

This study investigates whether random shock signals affect individuals’ investment decisions of risk taking using a unique data set from the housing lottery in Hangzhou, a major city in eastern China. New housing projects in Hangzhou are sold to individuals through housing lotteries with price caps. Our empirical evidence suggests that individuals’ subsequent housing lottery decisions are significantly affected by their prior lottery results. After experiencing better lottery outcomes, which are purely driven by good luck, they tend to participate in hot projects with low lottery winning rates, taking more risks, and vice versa. However, this effect diminishes over time.

Suggested Citation

  • Li, Feng & Wang, Xintao & Lu, Ping, 2022. "Good luck, bad luck, and risk taking: Evidence from a natural experiment in the housing lottery," Economics Letters, Elsevier, vol. 218(C).
  • Handle: RePEc:eee:ecolet:v:218:y:2022:i:c:s0165176522002580
    DOI: 10.1016/j.econlet.2022.110740
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176522002580
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2022.110740?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    2. Anagol, Santosh & Balasubramaniam, Vimal & Ramadorai, Tarun, 2021. "Learning from noise: Evidence from India’s IPO lotteries," Journal of Financial Economics, Elsevier, vol. 140(3), pages 965-986.
    3. Gao, Huasheng & Shi, Donghui & Zhao, Bin, 2021. "Does good luck make people overconfident? Evidence from a natural experiment in the stock market," Journal of Corporate Finance, Elsevier, vol. 68(C).
    4. Yu-Jane Liu & Chih-Ling Tsai & Ming-Chun Wang & Ning Zhu, 2010. "Prior Consequences and Subsequent Risk Taking: New Field Evidence from the Taiwan Futures Exchange," Management Science, INFORMS, vol. 56(4), pages 606-620, April.
    5. Markku Kaustia & Samuli Knüpfer, 2008. "Do Investors Overweight Personal Experience? Evidence from IPO Subscriptions," Journal of Finance, American Finance Association, vol. 63(6), pages 2679-2702, December.
    6. Niko Suhonen & Jani Saastamoinen, 2018. "How Do Prior Gains and Losses Affect Subsequent Risk Taking? New Evidence from Individual-Level Horse Race Bets," Management Science, INFORMS, vol. 64(6), pages 2797-2808, June.
    Full references (including those not matched with items on IDEAS)

    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. Mujcic, Redzo & Powdthavee, Nattavudh, 2022. "How Do Humans Respond to Huge Financial Losses?," IZA Discussion Papers 15536, Institute of Labor Economics (IZA).
    2. Jani Saastamoinen & Niko Suhonen, 2018. "Does betting experience matter in sequential risk taking in horse race wagering?," Economics and Business Letters, Oviedo University Press, vol. 7(4), pages 137-143.
    3. Arnold, Marc & Pelster, Matthias & Subrahmanyam, Marti G., 2022. "Attention triggers and investors’ risk-taking," Journal of Financial Economics, Elsevier, vol. 143(2), pages 846-875.
    4. Jin, Miao & Liu, Yu-Jane & Meng, Juanjuan, 2019. "Fat-finger event and risk-taking behavior," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 126-143.
    5. Mugerman, Yevgeny & Sade, Orly & Winter, Eyal, 2020. "Out-of-pocket vs. out-of-investment in financial advisory fees: Evidence from the lab," Journal of Economic Psychology, Elsevier, vol. 81(C).
    6. Olschewski, Sebastian & Diao, Linan & Rieskamp, Jörg, 2021. "Reinforcement learning about asset variability and correlation in repeated portfolio decisions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    7. Andrea Lippi & Laura Barbieri & Mariacristina Piva & Werner De Bondt, 2018. "Time-varying risk behavior and prior investment outcomes: Evidence from Italy," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(5), pages 471-483, September.
    8. Dillenberger, David & Rozen, Kareen, 2015. "History-dependent risk attitude," Journal of Economic Theory, Elsevier, vol. 157(C), pages 445-477.
    9. Hueber, Laura & Schwaiger, Rene, 2022. "Debiasing through experience sampling: The case of myopic loss aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 87-138.
    10. Steffen Meyer & Michaela Pagel, 2022. "Fully Closed: Individual Responses to Realized Gains and Losses," Journal of Finance, American Finance Association, vol. 77(3), pages 1529-1585, June.
    11. Flepp, Raphael & Meier, Philippe & Franck, Egon, 2021. "The effect of paper outcomes versus realized outcomes on subsequent risk-taking: Field evidence from casino gambling," Organizational Behavior and Human Decision Processes, Elsevier, vol. 165(C), pages 45-55.
    12. Itzhak Ben-David & Justin Birru & Viktor Prokopenya, 2018. "Uninformative Feedback and Risk Taking: Evidence from Retail Forex Trading [Two methods of reducing overconfidence]," Review of Finance, European Finance Association, vol. 22(6), pages 2009-2036.
    13. Cheng, Teng Yuan & Lee, Chun I. & Lin, Chao Hsien, 2020. "The effect of risk-taking behavior on profitability: Evidence from futures market," Economic Modelling, Elsevier, vol. 86(C), pages 19-38.
    14. Stivers, Adam & Tsang, Ming & Deaves, Richard & Hoffer, Adam, 2020. "Behavior when the chips are down: An experimental study of wealth effects and exchange media," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    15. repec:cup:judgdm:v:13:y:2018:i:5:p:471-483 is not listed on IDEAS
    16. Christian Ehm & Christine Laudenbach & Martin Weber, 2018. "Focusing on volatility information instead of portfolio weights as an aid to investor decisions," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 457-480, June.
    17. Steffen Meyer & Michaela Pagel, 2019. "Fully Closed: Individual Responses to Realized Gains and Losses," NBER Working Papers 25542, National Bureau of Economic Research, Inc.
    18. Hauke Jelschen & Ulrich Schmidt, 2023. "Windfall gains and house money: The effects of endowment history and prior outcomes on risky decision–making," Journal of Risk and Uncertainty, Springer, vol. 66(3), pages 215-232, June.
    19. Christoph Merkle & Jan Müller-Dethard & Martin Weber, 2021. "Closing a mental account: the realization effect for gains and losses," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 303-329, March.
    20. Prachi Deuskar & Deng Pan & Fei Wu & Hongfeng Zhou, 2021. "How does regret affect investor behaviour? Evidence from Chinese stock markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1851-1896, April.
    21. Yingxiu Zhao & Wei Zhang & Yuelei Li & Shuxing Yin & Yang Yang, 2021. "Crazy gamblers or cautious investors? Evidence from a peer‐to‐peer market in China," Manchester School, University of Manchester, vol. 89(5), pages 507-525, September.

    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:eee:ecolet:v:218:y:2022:i:c:s0165176522002580. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.