IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v106y2010i3p184-187.html
   My bibliography  Save this article

A reinvestigation of contract duration using Quantile Regression for Counts analysis

Author

Listed:
  • Liu, Chunping
  • Peng, Amy

Abstract

In this paper, a Quantile Regression for Counts Model (QRCM) is used to accommodate the discrete nature of the contract duration variable. Our results show that important time-variant variables behave differently at the tails of the distribution.

Suggested Citation

  • Liu, Chunping & Peng, Amy, 2010. "A reinvestigation of contract duration using Quantile Regression for Counts analysis," Economics Letters, Elsevier, vol. 106(3), pages 184-187, March.
  • Handle: RePEc:eee:ecolet:v:106:y:2010:i:3:p:184-187
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(09)00377-2
    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

    as
    1. Machado, Jose A.F. & Silva, J. M. C. Santos, 2005. "Quantiles for Counts," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1226-1237, December.
    2. Leaf Danziger, 1988. "Real Shocks, Efficient Risk Sharing, and the Duration of Labor Contracts," The Quarterly Journal of Economics, Oxford University Press, vol. 103(2), pages 435-440.
    3. Robert Rich & Joseph Tracy, 2004. "Uncertainty and Labor Contract Durations," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 270-287, February.
    4. Christofides, Louis N. & Peng, Chen, 2006. "Contract duration and indexation in a period of real and nominal uncertainty," Labour Economics, Elsevier, vol. 13(1), pages 61-86, February.
    5. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, March.
    6. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    7. Gray, Jo Anna, 1978. "On Indexation and Contract Length," Journal of Political Economy, University of Chicago Press, vol. 86(1), pages 1-18, February.
    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. Lohr, Luanne & Park, Timothy, 2012. "Demand for Private Marketing Expertise by Organic Farmers: A Quantile Analysis Based on Counts," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(02), pages 157-171, May.

    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:ecolet:v:106:y:2010:i:3:p:184-187. 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: http://www.elsevier.com/locate/ecolet .

    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.