IDEAS home Printed from https://ideas.repec.org/p/may/mayecw/n2030809.pdf.html
   My bibliography  Save this paper

Efficient Estimation of the Non-linear Volatility and Growth Model

Author

Listed:
  • Julie Byrne

    () (Economics,Finance and Accounting, National University of Ireland, Maynooth)

  • Denis Conniffe

    () (Economics,Finance and Accounting, National University of Ireland, Maynooth)

Abstract

No abstract is available for this item.

Suggested Citation

  • Julie Byrne & Denis Conniffe, 2009. "Efficient Estimation of the Non-linear Volatility and Growth Model," Economics, Finance and Accounting Department Working Paper Series n2030809.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
  • Handle: RePEc:may:mayecw:n2030809.pdf
    as

    Download full text from publisher

    File URL: http://repec.maynoothuniversity.ie/mayecw-files/N2030809.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Nobuo Akai & Masayo Hosoi & Yukihiro Nishimura, 2009. "Fiscal Decentralization And Economic Volatility: Evidence From State-Level Cross-Section Data Of The Usa," The Japanese Economic Review, Japanese Economic Association, vol. 60(2), pages 223-235.
    2. Gadi Barlevy, 2004. "The Cost of Business Cycles Under Endogenous Growth," American Economic Review, American Economic Association, vol. 94(4), pages 964-990, September.
    3. Frederick van der Ploeg & Steven Poelhekke, 2009. "Volatility and the natural resource curse," Oxford Economic Papers, Oxford University Press, vol. 61(4), pages 727-760, October.
    4. Jerzmanowski, Michal, 2006. "Empirics of hills, plateaus, mountains and plains: A Markov-switching approach to growth," Journal of Development Economics, Elsevier, vol. 81(2), pages 357-385, December.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Econometrics; Macroeconomics; Growth; Volatility;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:may:mayecw:n2030809.pdf. 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: (). General contact details of provider: http://edirc.repec.org/data/demayie.html .

    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.