IDEAS home Printed from https://ideas.repec.org/a/bla/rmgtin/v26y2023i1p57-82.html
   My bibliography  Save this article

Do insurers adjust prices for the adoption of loss prevention technologies? Evidence from Danish municipal contracts

Author

Listed:
  • Simon Sølvsten
  • Brooks Kaiser

Abstract

Using data from 40 Danish municipalities on building characteristics, loss prevention technologies, insurance claims, and insurance bids from 2008 to 2019, we investigate whether and how loss prevention technologies influenced contract prices. The insurance bids cover a variety of municipal buildings across a range of risks including fire, water leakage, and building security as well as structure detection and alarm systems. The study shows that the magnitude of historical claims may affect both pricing offers and interest in loss prevention technologies. We do not find that loss prevention technologies have any significant influence on contract price. This suggests inefficiencies in the market from imperfect information.

Suggested Citation

  • Simon Sølvsten & Brooks Kaiser, 2023. "Do insurers adjust prices for the adoption of loss prevention technologies? Evidence from Danish municipal contracts," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 26(1), pages 57-82, March.
    • Handle: RePEc:bla:rmgtin:v:26:y:2023:i:1:p:57-82
    DOI: 10.1111/rmir.12231
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rmir.12231
    Download Restriction: no
    File URL: https://libkey.io/10.1111/rmir.12231?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
    ---><---

    References listed on IDEAS

    as
    1. Venkatesh Kodur & Puneet Kumar & Muhammad Masood Rafi, 2019. "Fire hazard in buildings: review, assessment and strategies for improving fire safety," PSU Research Review, Emerald Group Publishing Limited, vol. 4(1), pages 1-23, September.
    2. Katrien Antonio & Emiliano Valdez, 2012. "Statistical concepts of a priori and a posteriori risk classification in insurance," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(2), pages 187-224, June.
    3. Lu Li & Richard Peter, 2021. "Should we do more when we know less? The effect of technology risk on optimal effort," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 695-725, September.
    4. Erick Delage & Jonathan Yu-Meng Li, 2018. "Minimizing Risk Exposure When the Choice of a Risk Measure Is Ambiguous," Management Science, INFORMS, vol. 64(1), pages 327-344, January.
    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. Anand, Vaibhav, 2022. "The Value of Forecast Improvements: Evidence from Advisory Lead Times and Vehicle Crashes," MPRA Paper 114491, University Library of Munich, Germany.
    2. Heinzel Christoph & Richard Peter, 2021. "Precautionary motives with multiple instruments," Working Papers SMART 21-09, INRAE UMR SMART.
    3. Adlane Haffar & Éric Le Fur & Mohamed Khordj, 2023. "Securitization of pandemic risk by using coronabond," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(2), pages 209-229, June.
    4. Heinzel, Christoph & Peter, Richard, 2023. "Precaution with multiple instruments: The importance of substitution effects," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 392-412.
    5. Yves Staudt & Joël Wagner, 2021. "Assessing the Performance of Random Forests for Modeling Claim Severity in Collision Car Insurance," Risks, MDPI, vol. 9(3), pages 1-28, March.
    6. Mihaela Covrig & Iulian Mircea & Gheorghita Zbaganu & Alexandru Coser & Alexandru Tindeche, 2015. "Using R In Generalized Linear Models," Romanian Statistical Review, Romanian Statistical Review, vol. 63(3), pages 33-45, September.
    7. Anna Szymańska, 2015. "Impact of the number of classes and transition rules of bonus-malus system on its efficiency in tariff setting," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 37, pages 253-268.
    8. Jeong, Himchan & Valdez, Emiliano A., 2020. "Predictive compound risk models with dependence," Insurance: Mathematics and Economics, Elsevier, vol. 94(C), pages 182-195.
    9. Claudio Bonilla & Marcos Vergara, 2022. "New results on precautionary saving and nonlinear risks," Journal of Economics, Springer, vol. 136(2), pages 177-189, July.
    10. Zhanyi Jiao & Steven Kou & Yang Liu & Ruodu Wang, 2022. "An axiomatic theory for anonymized risk sharing," Papers 2208.07533, arXiv.org, revised May 2023.
    11. Tobias Huber, 2022. "Comparative risk aversion in two periods: An application to self‐insurance and self‐protection," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(1), pages 97-130, March.
    12. Mihaela DAVID, 2014. "Modeling The Frequency Of Claims In Auto Insurance With Application To A French Case," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 13, pages 69-85, June.
    13. Lee, Woojoo & Kim, Jeonghwan & Ahn, Jae Youn, 2020. "The Poisson random effect model for experience ratemaking: Limitations and alternative solutions," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 26-36.
    14. Silvana Pesenti & Qiuqi Wang & Ruodu Wang, 2020. "Optimizing distortion riskmetrics with distributional uncertainty," Papers 2011.04889, arXiv.org, revised Feb 2022.
    15. Ramon Alemany & Catalina Bolance & Montserrat Guillen, 2014. "Accounting for severity of risk when pricing insurance products," Working Papers 2014-05, Universitat de Barcelona, UB Riskcenter.
    16. Anand, Vaibhav, 2001. "The Value of Forecast Improvements: Evidence from Advisory Lead Times and Vehicle Crashes," SocArXiv hdpga, Center for Open Science.
    17. Jonathan Yu-Meng Li, 2021. "Inverse Optimization of Convex Risk Functions," Management Science, INFORMS, vol. 67(11), pages 7113-7141, November.
    18. Pablo Gutiérrez Cubillos & Roberto Pastén, 2023. "Nonlinear risks: a unified framework," Theory and Decision, Springer, vol. 95(1), pages 11-32, July.
    19. Christoph Heinzel & Richard Peter, 2021. "Precautionary motives with multiple instruments [Motifs de précaution en cas de multiples instruments]," Working Papers hal-03484875, HAL.
    20. Heinzel, Christoph & Peter, Richard, 2021. "Precautionary motives with multiple instruments," Working Papers 316521, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).

    More about this item

    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:bla:rmgtin:v:26:y:2023:i:1:p:57-82. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1098-1616 .

    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.