IDEAS home Printed from https://ideas.repec.org/p/bir/birmec/04-07.html
   My bibliography  Save this paper

Party formation and coalitional bargaining in a model of proportional representation

Author

Listed:
  • Joanne S. McGarry

    (University of Birmingham)

  • Marcus J. Chambers

    (University of Essex)

Abstract

This paper considers the estimation of the parameters of general systems of differential- difference equations (DDEs) in which the lag parameters themselves can be treated as unknown and are not restricted to be integers. The asymptotic properties of an infeasible frequency domain maximum likelihood estimator are established as well as those of a feasible version based on truncating an infinite series that arises in the computation of the spectral density function of the observed discrete time series. Precise conditions that the truncation parameter must satisfy are provided. Simulation exercises are performed to assess the small sample properties of the estimator, including the estimation of cycle durations, and the results provide guidance as to the choice of truncation parameter in finite samples. An empirical illustration of the use of DDEs to represent the cyclical component in a continuous time unobserved components model is also provided using data on U.S. real GNP.

Suggested Citation

  • Joanne S. McGarry & Marcus J. Chambers, 2004. "Party formation and coalitional bargaining in a model of proportional representation," Discussion Papers 04-07, Department of Economics, University of Birmingham.
  • Handle: RePEc:bir:birmec:04-07
    as

    Download full text from publisher

    File URL: https://repec.cal.bham.ac.uk/pdf/04-07.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    differential-difference equations; frequency domain; cycles;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:bir:birmec:04-07. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oleksandr Talavera (email available below). General contact details of provider: https://edirc.repec.org/data/debhauk.html .

    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.