IDEAS home Printed from
   My bibliography  Save this article

An atmosphere-ocean time series model of global climate change


  • Stern, David I.


No abstract is available for this item.

Suggested Citation

  • Stern, David I., 2006. "An atmosphere-ocean time series model of global climate change," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1330-1346, November.
  • Handle: RePEc:eee:csdana:v:51:y:2006:i:2:p:1330-1346

    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. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    2. Nordhaus, William D., 1993. "Rolling the 'DICE': an optimal transition path for controlling greenhouse gases," Resource and Energy Economics, Elsevier, vol. 15(1), pages 27-50, March.
    Full references (including those not matched with items on IDEAS)


    Blog mentions

    As found by, the blog aggregator for Economics research:
    1. Schmith, Johansen, and Thejll on Atmospheric Temperature and Sea Level Rise
      by David Stern in Stochastic Trend on 2011-11-14 14:48:00
    2. Atmospheric CO2 Concentrations During Ancient Greenhouse Climates were Similar to those Predicted for A.D. 2100
      by David Stern in Stochastic Trend on 2011-02-12 14:09:00
    3. Polynomial Cointegration and the Global Warming Hypothesis
      by David Stern in Stochastic Trend on 2010-04-15 15:40:00
    4. Omitted Variables Bias in Estimating the Rate of Global Warming
      by David Stern in Stochastic Trend on 2009-10-11 07:07:00
    5. The Ocean in Climate Econometrics
      by (David Stern) in Stochastic Trend on 2016-10-26 14:00:00
    6. A Multicointegration Model of Global Climate Change
      by (David Stern) in Stochastic Trend on 2018-02-10 07:11:00


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

    Cited by:

    1. repec:oxf:wpaper:750 is not listed on IDEAS
    2. Torben Schmith & Søren Johansen & Peter Thejll, 2011. "Statistical analysis of global surface air temperature and sea level using cointegration methods," CREATES Research Papers 2011-39, Department of Economics and Business Economics, Aarhus University.
    3. Paolo Paruolo & Ben Murphy & Greet Janssens-Maenhout, 2011. "Do emissions and income have a common trend? A country-specific, time-series, global analysis, 1970-2008," Economics and Quantitative Methods qf1113, Department of Economics, University of Insubria.

    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:csdana:v:51:y:2006:i:2:p:1330-1346. 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.