IDEAS home Printed from https://ideas.repec.org/a/alu/journl/v1y2011i13p9.html
   My bibliography  Save this article

Romanian Compulsory Motor Third Party Liability Insurance In 2010 And The Predictable Future

Author

Listed:
  • Marius Dan Gavriletea
  • Aura Carmen Moga

Abstract

Insurance coverage is mandatory for the motor's owners. Analyzing the condition of the insurance market trough 2010, by the gross written insurance premiums and the losses compensations in the same period, the study analyzes the Romanian bonus-malus system, by comparing it with the bonus-malus system of other states. The study reveals the impact of bonus-malus clause, and also the impact of the economic and financial crisis upon insurance market, the insufficiencies of the MTPL system and the ways of improving it. In the last part of this study, we analyze the future changes that the insurance companies have to make in according with the elimination of the discrimination trough gender in this insurance field.

Suggested Citation

  • Marius Dan Gavriletea & Aura Carmen Moga, 2011. "Romanian Compulsory Motor Third Party Liability Insurance In 2010 And The Predictable Future," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(13), pages 1-9.
  • Handle: RePEc:alu:journl:v:1:y:2011:i:13:p:9
    as

    Download full text from publisher

    File URL: http://oeconomica.uab.ro/upload/lucrari/1320111/09.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lemaire, Jean & Zi, Hongmin, 1994. "High Deductibles instead of Bonus-Malus: Can it Work?," ASTIN Bulletin, Cambridge University Press, vol. 24(1), pages 75-86, May.
    2. Lemaire, Jean & Zi, Hongmin, 1994. "A Comparative Analysis of 30 Bonus-Malus Systems," ASTIN Bulletin, Cambridge University Press, vol. 24(2), pages 287-309, November.
    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. Dhiti Osatakul & Xueyuan Wu, 2021. "Discrete-Time Risk Models with Claim Correlated Premiums in a Markovian Environment," Risks, MDPI, vol. 9(1), pages 1-23, January.
    2. Søren Asmussen, 2014. "Modeling and Performance of Bonus-Malus Systems: Stationarity versus Age-Correction," Risks, MDPI, vol. 2(1), pages 1-25, March.
    3. Maria Mercè Claramunt & Maite Màrmol, 2020. "Refundable deductible insurance," Working Papers hal-02909299, HAL.
    4. Arthur Charpentier & Arthur David & Romuald Elie, 2016. "Optimal Claiming Strategies in Bonus Malus Systems and Implied Markov Chains," Working Papers hal-01326798, HAL.
    5. Ming-Jyh Wang & Chieh-Hua Wen & Lawrence W Lan, 2010. "Modelling Different Types of Bundled Automobile Insurance Choice Behaviour: The Case of Taiwan*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 35(2), pages 290-308, April.
    6. Olena Ragulina, 2017. "Bonus--malus systems with different claim types and varying deductibles," Papers 1707.00917, arXiv.org.
    7. Hurlimann, W., 1998. "On distribution-free safe layer-additive pricing," Insurance: Mathematics and Economics, Elsevier, vol. 22(3), pages 277-285, July.
    8. Asma Teimouri & Mahbanoo Tata & Mohsen Rezapour & Rafal Kulik & Narayanaswamy Balakrishnan, 2021. "Asymptotic Behavior of Eigenvalues of Variance-Covariance Matrix of a High-Dimensional Heavy-Tailed Lévy Process," Methodology and Computing in Applied Probability, Springer, vol. 23(4), pages 1353-1375, December.
    9. Arthur Charpentier & Arthur David & Romuald Elie, 2017. "Optimal Claiming Strategies in Bonus Malus Systems and Implied Markov Chains," Risks, MDPI, vol. 5(4), pages 1-17, November.
    10. Oh, Rosy & Lee, Kyung Suk & Park, Sojung C. & Ahn, Jae Youn, 2020. "Double-counting problem of the bonus–malus system," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 141-155.
    11. Pablo J. Villacorta & Laura González-Vila Puchades & Jorge de Andrés-Sánchez, 2021. "Fuzzy Markovian Bonus-Malus Systems in Non-Life Insurance," Mathematics, MDPI, vol. 9(4), pages 1-23, February.
    12. Martinek, László & Arató, N. Miklós, 2019. "An approach to merit rating by means of autoregressive sequences," Insurance: Mathematics and Economics, Elsevier, vol. 85(C), pages 205-217.

    More about this item

    Keywords

    mandatory insurance; insurance premium; Romanian bonus-malus system;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:alu:journl:v:1:y:2011:i:13:p:9. 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: Dan-Constantin Danuletiu (email available below). General contact details of provider: .

    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.