IDEAS home Printed from https://ideas.repec.org/p/rco/dpaper/430.html
   My bibliography  Save this paper

Organizational Change and Reference-Dependent Preferences

Author

Listed:
  • Klaus Schmidt

    (LMU Munich)

  • Jonas von Wangenheim

    (University of Bonn)

Abstract

Reference-dependent preferences can explain several puzzling observations about organizational change. We introduce a dynamic model in which a loss-neutral firm bargains with loss-averse workers over organizational change and wages. We show that change is often stagnant or slow for long periods followed by a sudden boost in productivity during a crisis. Moreover, it accounts for the fact that different firms in the same industry often have significant productivity differences. The model also demonstrates the importance of expectation management even if all parties have rational expectations. Social preferences explain why it may be optimal to divide a firm into separate entities.

Suggested Citation

  • Klaus Schmidt & Jonas von Wangenheim, 2023. "Organizational Change and Reference-Dependent Preferences," Rationality and Competition Discussion Paper Series 430, CRC TRR 190 Rationality and Competition.
  • Handle: RePEc:rco:dpaper:430
    as

    Download full text from publisher

    File URL: https://rationality-and-competition.de/wp-content/uploads/discussion_paper/430.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Servaas van Bilsen & Roger J. A. Laeven & Theo E. Nijman, 2020. "Consumption and Portfolio Choice Under Loss Aversion and Endogenous Updating of the Reference Level," Management Science, INFORMS, vol. 66(9), pages 3927-3955, September.
    2. Heiko Karle & Heiner Schumacher, 2017. "Advertising and attachment: exploiting loss aversion through prepurchase information," RAND Journal of Economics, RAND Corporation, vol. 48(4), pages 927-948, December.
    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. Zongxia Liang & Xiaodong Luo & Fengyi Yuan, 2023. "Consumption-investment decisions with endogenous reference point and drawdown constraint," Mathematics and Financial Economics, Springer, volume 17, number 6, February.
    2. Heiko Karle & Heiner Schumacher & Rune Vølund, 2020. "Consumer search and the uncertainty effect," Working Papers of Department of Economics, Leuven 657766, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    3. Butt, Adam & Khemka, Gaurav & Warren, Geoffrey J., 2022. "Heterogeneity in optimal investment and drawdown strategies in retirement," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    4. Bart Dees & Theo Nijman & Arthur Soest, 2023. "Stated Product Choices of Heterogeneous Agents are Largely Consistent with Standard Models," De Economist, Springer, vol. 171(3), pages 267-302, September.
    5. Jean-Michel Benkert, 2015. "Bilateral trade with loss-averse agents," ECON - Working Papers 188, Department of Economics - University of Zurich, revised Jul 2022.
    6. Shuoqing Deng & Xun Li & Huyên Pham & Xiang Yu, 2022. "Optimal consumption with reference to past spending maximum," Finance and Stochastics, Springer, vol. 26(2), pages 217-266, April.
    7. Jonathan Chapman & Erik Snowberg & Stephanie W. Wang & Colin Camerer, 2022. "Looming Large or Seeming Small? Attitudes Towards Losses in a Representative Sample," NBER Working Papers 30243, National Bureau of Economic Research, Inc.
    8. März, Oliver, 2019. "Competitive persuasive advertising under consumer loss aversion," Economics Letters, Elsevier, vol. 185(C).
    9. Xun Li & Xiang Yu & Qinyi Zhang, 2021. "Optimal consumption with loss aversion and reference to past spending maximum," Papers 2108.02648, arXiv.org, revised Mar 2024.
    10. Constantin Mellios & Anh Ngoc Lai, 2022. "Incentive Fees with a Moving Benchmark and Portfolio Selection under Loss Aversion," Post-Print hal-03708926, HAL.
    11. Aldo Pignataro, 2019. "The effects of loss aversion on deceptive advertising policies," Theory and Decision, Springer, vol. 87(4), pages 451-472, November.
    12. Geonwoo Kim & Junkee Jeon, 2024. "Dynamic Asset Allocation and Retirement Decision with Consumption Ratcheting and Effort Choice," Mathematics, MDPI, vol. 12(23), pages 1-18, December.
    13. Yanfei Zhu & Yuli Wang & Ying Li & Xiaoxi Du & Qi Guo & Mo Chen & Yun Lin, 2022. "The Construction of Image Reference Points and Text Appeals Information Tailoring in Promoting Diners’ Public Environment Maintenance Behavior Intention," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
    14. von Wangenheim, Jonas, 2021. "English versus Vickrey auctions with loss-averse bidders," Journal of Economic Theory, Elsevier, vol. 197(C).
    15. Lin He & Zongxia Liang & Yilun Song & Qi Ye, 2021. "Optimal Retirement Time and Consumption with the Variation in Habitual Persistence," Papers 2103.16800, arXiv.org.
    16. Bahman Angoshtari & Xiang Yu & Fengyi Yuan, 2024. "Optimal consumption under loss-averse multiplicative habit-formation preferences," Papers 2406.20063, arXiv.org.
    17. Thomas Bernhardt & Catherine Donnelly, 2020. "Quantifying the trade-off between income stability and the number of members in a pooled annuity fund," Papers 2010.16009, arXiv.org.
    18. Karle, Heiko & Schumacher, Heiner & Vølund, Rune, 2023. "Consumer loss aversion and scale-dependent psychological switching costs," Games and Economic Behavior, Elsevier, vol. 138(C), pages 214-237.
    19. Benjamin Balzer & Antonio Rosato, 2018. "Expectations-Based Loss Aversion in Common-Value Auctions: Extensive vs. Intensive Risk," Working Paper Series 50, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    20. Benjamin Balzer & Antonio Rosato & Jonas von Wangenheim, 2020. "Dutch versus First-Price Auctions with Dynamic Expectations-Based Reference-Dependent Preferences," Working Paper Series 2020/05, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

    More about this item

    Keywords

    organizational change; productivity; reference points; loss aversion; social preferences;
    All these keywords.

    JEL classification:

    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior

    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:rco:dpaper:430. 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: Viviana Lalli (email available below). General contact details of provider: https://rationality-and-competition.de .

    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.