IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/10429.html
   My bibliography  Save this book chapter

Interpreting Spectral Analyses in Terms of Time-Domain Models

In: Annals of Economic and Social Measurement, Volume 5, number 1

Author

Listed:
  • Robert F. Engle

Abstract

This paper derives relationships between frequency-domain and standard time-domain distributed-lag and autoregessive moving-average models. These relations are well known in the literature but are presented here in a pedogogic form in order to facilitate interpretation of spectral and cross-spectral analyses. In addition, the paper employs the conventions and discusses the estimation procedures used in TROLL. Some aspects of these estimation procedures are new and have not been discussed in the literature.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Robert F. Engle, 1976. "Interpreting Spectral Analyses in Terms of Time-Domain Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 1, pages 89-109, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:10429
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c10429.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Luís Aguiar-Conraria & Maria Joana Soares & Rita Sousa, 2017. "California´s Carbon Market and Energy Prices: A Wavelet Analysis," NIPE Working Papers 13/2017, NIPE - Universidade do Minho.
    2. Le, Thanh Ha, 2022. "Connectedness between nonrenewable and renewable energy consumption, economic growth and CO2 emission in Vietnam: New evidence from a wavelet analysis," Renewable Energy, Elsevier, vol. 195(C), pages 442-454.
    3. Eirini Ozouni & Constantinos Katrakylidis & Grigoris Zarotiadis, 2015. "Investigating the Long Cycles of Capitalism With Spectral and Cross-Spectral Analysis," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 13(1), pages 7-30.
    4. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2020. "Okun’s Law across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    5. Various, 1975. "Staff Reports on Research Under Way," NBER Chapters, in: Understanding Economic Change, pages 9-120, National Bureau of Economic Research, Inc.
    6. Aguiar-Conraria, Luis & Martins, Manuel M.F. & Soares, Maria Joana, 2018. "Estimating the Taylor rule in the time-frequency domain," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 122-137.

    More about this item

    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:nbr:nberch:10429. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.