IDEAS home Printed from
   My bibliography  Save this article

Bayesian analysis of compound loss distributions


  • Pai, Jeffrey S.


No abstract is available for this item.

Suggested Citation

  • Pai, Jeffrey S., 1997. "Bayesian analysis of compound loss distributions," Journal of Econometrics, Elsevier, vol. 79(1), pages 129-146, July.
  • Handle: RePEc:eee:econom:v:79:y:1997:i:1:p:129-146

    Download full text from publisher

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

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

    References listed on IDEAS

    1. Chib, Siddhartha & Greenberg, Edward, 1994. "Bayes inference in regression models with ARMA (p, q) errors," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 183-206.
    2. Rytgaard, Mette, 1990. "Estimation in the Pareto Distribution," ASTIN Bulletin: The Journal of the International Actuarial Association, Cambridge University Press, vol. 20(02), pages 201-216, November.
    3. Panjer, Harry H. & Willmot, Gordon E., 1983. "Compound poisson models in actuarial risk theory," Journal of Econometrics, Elsevier, vol. 23(1), pages 63-76, September.
    4. Hesselager, Ole, 1993. "A Class of Conjugate Priors with Applications to Excess-of-Loss Reinsurance," ASTIN Bulletin: The Journal of the International Actuarial Association, Cambridge University Press, vol. 23(01), pages 77-93, May.
    5. Chib, Siddhartha & Greenberg, Edward, 1995. "Hierarchical analysis of SUR models with extensions to correlated serial errors and time-varying parameter models," Journal of Econometrics, Elsevier, vol. 68(2), pages 339-360, August.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Cairns, Andrew J. G., 2000. "A discussion of parameter and model uncertainty in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 27(3), pages 313-330, December.
    2. Migon, Helio S. & Moura, Fernando A.S., 2005. "Hierarchical Bayesian collective risk model: an application to health insurance," Insurance: Mathematics and Economics, Elsevier, vol. 36(2), pages 119-135, April.
    3. Shang-Yin Yang & Chou-Wen Wang & Hong-Chih Huang, 2016. "The Valuation of Lifetime Health Insurance Policies with Limited Coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 777-800, September.
    4. A.Hernández-Bastida & M.P. Fernández-Sánchez & E. Gómez-Deniz, 2007. "Bayesian Analysis Of The Compound Collective Model; The Variance Premium Principle With Exponential Poisson And Gamma-Gamma Distributions," FEG Working Paper Series 07/02, Faculty of Economics and Business (University of Granada).
    5. Koissi, Marie-Claire & Shapiro, Arnold F., 2006. "Fuzzy formulation of the Lee-Carter model for mortality forecasting," Insurance: Mathematics and Economics, Elsevier, vol. 39(3), pages 287-309, December.

    More about this item


    Access and download statistics


    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:econom:v:79:y:1997:i:1:p:129-146. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.