IDEAS home Printed from https://ideas.repec.org/a/eee/irlaec/v68y2021ics0144818821000466.html
   My bibliography  Save this article

Car accidents in the age of robots

Author

Listed:
  • De Chiara, Alessandro
  • Elizalde, Idoia
  • Manna, Ester
  • Segura-Moreiras, Adrian

Abstract

In this paper, we compare liability rules in a world where human-driven and fully-autonomous cars coexist. We develop a model where a manufacturer can invest to improve the safety of autonomous cars. Human drivers may decide to purchase a fully-autonomous car to save precaution costs to avoid road accidents and shift liability to the car manufacturer. As compared to the negligence rule, a strict liability regime on both human drivers and car manufacturers is proved to be a superior policy. In particular, strict liability leads to more efficient R&D investments to enhance the benefits of the technology and favors the adoption of fully-autonomous cars. We also recommend that users of fully-autonomous cars make a technology-dependent payment to a third-party if there is an accident to discipline their activity levels.

Suggested Citation

  • De Chiara, Alessandro & Elizalde, Idoia & Manna, Ester & Segura-Moreiras, Adrian, 2021. "Car accidents in the age of robots," International Review of Law and Economics, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:irlaec:v:68:y:2021:i:c:s0144818821000466
    DOI: 10.1016/j.irle.2021.106022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0144818821000466
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irle.2021.106022?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. Iossa, Elisabetta & De Chiara, Alessandro, 2019. "Public Procurement as a Demand-side Policy: Project Competition and Innovation Incentives," CEPR Discussion Papers 13664, C.E.P.R. Discussion Papers.
    2. Xinyu Hua & Kathryn E. Spier, 2020. "Product safety, contracts, and liability," RAND Journal of Economics, RAND Corporation, vol. 51(1), pages 233-259, March.
    3. Giuseppe Dari-Mattiacci & Luigi Alberto Franzoni, 2014. "Innovative Negligence Rules," American Law and Economics Review, American Law and Economics Association, vol. 16(2), pages 333-365.
    4. Andrzej Baniak & Peter Grajzl, 2017. "Optimal Liability when Consumers Mispredict Product Usage," American Law and Economics Review, American Law and Economics Association, vol. 19(1), pages 202-243.
    5. Yongmin Chen & Xinyu Hua, 2017. "Competition, Product Safety, and Product Liability," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 33(2), pages 237-267.
    6. Steven Shavell, 2003. "Economic Analysis of Accident Law," NBER Working Papers 9694, National Bureau of Economic Research, Inc.
    7. Albert H. Choi & Kathryn E. Spier, 2014. "Should Consumers be Permitted to Waive Products Liability? Product Safety, Private Contracts, and Adverse Selection," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 30(4), pages 734-766.
    8. Alberto Galasso & Hong Luo, 2018. "When does Product Liability Risk Chill Innovation? Evidence from Medical Implants," NBER Working Papers 25068, National Bureau of Economic Research, Inc.
    9. Immordino, Giovanni & Pagano, Marco & Polo, Michele, 2011. "Incentives to innovate and social harm: Laissez-faire, authorization or penalties?," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 864-876, August.
    10. Joshua Schwartzstein & Andrei Shleifer, 2013. "An Activity-Generating Theory of Regulation," Journal of Law and Economics, University of Chicago Press, vol. 56(1), pages 1-38.
    11. Steven Shavell, 2020. "On the Redesign of Accident Liability for the World of Autonomous Vehicles," The Journal of Legal Studies, University of Chicago Press, vol. 49(2), pages 243-285.
    12. Louis Kaplow & Steven Shavell, 2002. "On the Superiority of Corrective Taxes to Quantity Regulation," American Law and Economics Review, American Law and Economics Association, vol. 4(1), pages 1-17, January.
    13. Andrew F. Daughety & Jennifer F. Reinganum, 2008. "Communicating quality: a unified model of disclosure and signalling," RAND Journal of Economics, RAND Corporation, vol. 39(4), pages 973-989, December.
    14. Elazar Berkovitch, 2004. "Why the NPV Criterion does not Maximize NPV," The Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 239-255.
    15. Hiriart, Yolande & Martimort, David & Pouyet, Jerome, 2004. "On the optimal use of ex ante regulation and ex post liability," Economics Letters, Elsevier, vol. 84(2), pages 231-235, August.
    16. Nussim, Jacob & Tabbach, Avraham D., 2009. "A revised model of unilateral accidents," International Review of Law and Economics, Elsevier, vol. 29(2), pages 169-177, June.
    17. Andrew F. Daughety & Jennifer F. Reinganum, 2013. "Cumulative Harm, Products Liability, and Bilateral Care," American Law and Economics Review, American Law and Economics Association, vol. 15(2), pages 409-442.
    18. Caner Filiz, 2020. "Can Autonomous Vehicles Prevent Traffic Accidents?," Chapters, in: Murat Darcin (ed.), Accident Analysis and Prevention, IntechOpen.
    19. Milgrom, Paul & Shannon, Chris, 1994. "Monotone Comparative Statics," Econometrica, Econometric Society, vol. 62(1), pages 157-180, January.
    20. Shavell, Steven, 2007. "Liability for Accidents," Handbook of Law and Economics, in: A. Mitchell Polinsky & Steven Shavell (ed.), Handbook of Law and Economics, edition 1, volume 1, chapter 2, pages 139-182, Elsevier.
    21. Mark Armstrong & John Vickers, 2010. "A Model of Delegated Project Choice," Econometrica, Econometric Society, vol. 78(1), pages 213-244, January.
    22. Steven Shavell, 1984. "A Model of the Optimal Use of Liability and Safety Regulation," RAND Journal of Economics, The RAND Corporation, vol. 15(2), pages 271-280, Summer.
    23. Juan José Ganuza & Fernando Gomez & Marta Robles, 2016. "Product Liability versus Reputation," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 32(2), pages 213-241.
    24. Steven Shavell, 2011. "Corrective Taxation versus Liability," American Economic Review, American Economic Association, vol. 101(3), pages 273-276, May.
    25. Galasso, Alberto & Luo, Hong, 2018. "How does product liability risk affect innovation? Evidence from medical implants," CEPR Discussion Papers 13036, C.E.P.R. Discussion Papers.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marie Obidzinski & Yves Oytana, 2024. "Artificial intelligence, inattention and liability rules," Working Papers 2024-08, CRESE.
    2. Dawid, Herbert & Di, Xuan & Kort, Peter M. & Muehlheusser, Gerd, 2024. "Autonomous vehicles policy and safety investment: An equilibrium analysis with endogenous demand," Transportation Research Part B: Methodological, Elsevier, vol. 182(C).
    3. Marie Obidzinski & Yves Oytana, 2022. "Advisory algorithms and liability rules," Working Papers 2022-04, CRESE.
    4. Kene Boun My & Julien Jacob & Mathieu Lefebvre, 2024. "AI devices and liability," Working Papers of BETA 2024-24, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    5. Chopard, Bertrand & Musy, Olivier, 2023. "Market for artificial intelligence in health care and compensation for medical errors," International Review of Law and Economics, Elsevier, vol. 75(C).
    6. Eric Langlais & Nanxi Li, 2024. "Which Liability Laws for Artificial Intelligence?," Working Papers hal-04638448, HAL.
    7. Marie Obidzinski & Yves Oytana, 2022. "Prediction, human decision and liability rules, CRED Working paper No 2022-06," Working Papers hal-04034871, HAL.
    8. Miriam C. Buiten, 2024. "Product liability for defective AI," European Journal of Law and Economics, Springer, vol. 57(1), pages 239-273, April.

    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. Andrzej Baniak & Peter Grajzl, 2016. "Controlling Product Risks when Consumers Are Heterogeneously Overconfident: Producer Liability versus Minimum-Quality-Standard Regulation," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 172(2), pages 274-304, June.
    2. Andrzej Baniak & Peter Grajzl, 2014. "Controlling Product Risks when Consumers are Heterogeneously Overconfident: Producer Liability vs. Minimum Quality Standard Regulation," CESifo Working Paper Series 5003, CESifo.
    3. Friehe, Tim & Langlais, Eric, 2015. "On the political economy of public safety investments," International Review of Law and Economics, Elsevier, vol. 41(C), pages 7-16.
    4. Miriam C. Buiten, 2024. "Product liability for defective AI," European Journal of Law and Economics, Springer, vol. 57(1), pages 239-273, April.
    5. Baumann, Florian & Rasch, Alexander, 2020. "Product liability and reasonable product use," ZEW Discussion Papers 20-071, ZEW - Leibniz Centre for European Economic Research.
    6. Tim Friehe & Eric Langlais & Elisabeth Schulte, 2022. "Firm Liability When Third Parties and Consumers Incur Cumulative Harm," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(1), pages 53-71, January.
    7. Emeric Henry & Marco Loseto & Marco Ottaviani, 2022. "Regulation with Experimentation: Ex Ante Approval, Ex Post Withdrawal, and Liability," Management Science, INFORMS, vol. 68(7), pages 5330-5347, July.
    8. Julien Jacob & Caroline Orset, 2020. "Innovation, information, lobby and tort law under uncertainty," Working Papers of BETA 2020-25, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Charreire, Maxime & Langlais, Eric, 2021. "Should environment be a concern for competition policy when firms face environmental liability?," International Review of Law and Economics, Elsevier, vol. 67(C).
    10. Tim Friehe & Christoph Rößler & Xiaoge Dong, 2020. "Liability for Third-Party Harm When Harm-Inflicting Consumers Are Present Biased," American Law and Economics Review, American Law and Economics Association, vol. 22(1), pages 75-104.
    11. G.G.A. de Geest & G. Dari Mattiacci, 2005. "Soft Regulators, tough judges," Working Papers 05-06, Utrecht School of Economics.
    12. De Chiara, Alessandro & Manna, Ester, 2022. "Corruption and the case for safe-harbor regulation," Economics Letters, Elsevier, vol. 216(C).
    13. Jacob Julien, 2021. "The (Mixed) Effects of Minimum Asset Requirements When There is a Possibility of Technological Change," Review of Law & Economics, De Gruyter, vol. 17(1), pages 167-191, March.
    14. Massimo D’Antoni & Avraham D Tabbach, 2019. "The Complementary Role of Liability and Safety Regulation," American Law and Economics Review, American Law and Economics Association, vol. 21(1), pages 150-183.
    15. Tsvetanov, Tsvetan & Miceli, Thomas J. & Segerson, Kathleen, 2021. "Products liability with temptation bias," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 76-93.
    16. Maciej H. Kotowski & David A. Weisbach & Richard J. Zeckhauser, 2014. "Rules and Standards When Compliance Costs Are Private Information," The Journal of Legal Studies, University of Chicago Press, vol. 43(S2), pages 297-329.
    17. Eric Langlais & Andreea Cosnita-Langlais & Tim Friehe, 2024. "Product Liability Influences Incentives for Horizontal Mergers," EconomiX Working Papers 2024-10, University of Paris Nanterre, EconomiX.
    18. Florian Baumann & Tim Friehe & Alexander Rasch, 2018. "Product Liability in Markets for Vertically Differentiated Products," American Law and Economics Review, American Law and Economics Association, vol. 20(1), pages 46-81.
    19. Marie Obidzinski & Yves Oytana, 2022. "Prediction, human decision and liability rules, CRED Working paper No 2022-06," Working Papers hal-04034871, HAL.
    20. Andrzej Baniak & Peter Grajzl, 2017. "Optimal Liability when Consumers Mispredict Product Usage," American Law and Economics Review, American Law and Economics Association, vol. 19(1), pages 202-243.

    More about this item

    Keywords

    Autonomous vehicles; Investment problem; Liability rules; Torts;
    All these keywords.

    JEL classification:

    • K2 - Law and Economics - - Regulation and Business Law
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

    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:eee:irlaec:v:68:y:2021:i:c:s0144818821000466. 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/irle .

    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.