Essec\Faculty\Model\Contribution {#2190
  #_index: "academ_contributions"
  #_id: "2453"
  #_source: array:26 [
    "id" => "2453"
    "slug" => "robust-cointegration-testing-in-the-presence-of-weak-trends-with-an-application-to-the-human-origin-of-global-warming"
    "yearMonth" => "2017-06"
    "year" => "2017"
    "title" => "Robust Cointegration Testing in the Presence of Weak Trends, with an Application to the Human Origin of Global Warming"
    "description" => "CHEVILLON, G. (2017). Robust Cointegration Testing in the Presence of Weak Trends, with an Application to the Human Origin of Global Warming. <i>Econometric Reviews</i>, 36(5), pp. 514-545."
    "authors" => array:1 [
      0 => array:3 [
        "name" => "CHEVILLON Guillaume"
        "bid" => "B00072304"
        "slug" => "chevillon-guillaume"
      ]
    ]
    "ouvrage" => ""
    "keywords" => []
    "updatedAt" => "2021-09-24 10:33:27"
    "publicationUrl" => "https://www.researchgate.net/publication/272243831_Robust_Cointegration_Testing_in_the_Presence_of_Weak_Trends_with_an_Application_to_the_Human_Origin_of_Global_Warming"
    "publicationInfo" => array:3 [
      "pages" => "514-545"
      "volume" => "36"
      "number" => "5"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "Standard tests for the rank of cointegration of a vector autoregressive process present distributions that are affected by the presence of deterministic trends. We consider the recent approach of Deme- trescu et al. (2009) who recommend testing a composite null. We assess this methodology in the presence of trends (linear or broken) whose magnitude is small enough not to be always detectable at conventional significance levels. We model them using local asymptotics and derive the proper- ties of the test statistics. We show that whether the trend is orthogonal to the cointegrating vector has a major impact on the distributions but that the test combination approach remains valid. We apply of the methodology to the study of cointegration properties between global temperatures and the radiative forcing of human gas emissions. We find new evidence of Granger Causality."
      "en" => "Standard tests for the rank of cointegration of a vector autoregressive process present distributions that are affected by the presence of deterministic trends. We consider the recent approach of Deme- trescu et al. (2009) who recommend testing a composite null. We assess this methodology in the presence of trends (linear or broken) whose magnitude is small enough not to be always detectable at conventional significance levels. We model them using local asymptotics and derive the proper- ties of the test statistics. We show that whether the trend is orthogonal to the cointegrating vector has a major impact on the distributions but that the test combination approach remains valid. We apply of the methodology to the study of cointegration properties between global temperatures and the radiative forcing of human gas emissions. We find new evidence of Granger Causality."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
      "en" => "Information Systems, Decision Sciences and Statistics"
    ]
    "indexedAt" => "2024-04-19T15:22:10.000Z"
    "docTitle" => "Robust Cointegration Testing in the Presence of Weak Trends, with an Application to the Human Origin of Global Warming"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/chevillon-guillaume">CHEVILLON Guillaume</a>"
    "docDescription" => "<span class="document-property-authors">CHEVILLON Guillaume</span><br><span class="document-property-authors_fields">Information Systems, Decision Sciences and Statistics</span> | <span class="document-property-year">2017</span>"
    "keywordList" => ""
    "docPreview" => "<b>Robust Cointegration Testing in the Presence of Weak Trends, with an Application to the Human Origin of Global Warming</b><br><span>2017-06 | Journal articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://www.researchgate.net/publication/272243831_Robust_Cointegration_Testing_in_the_Presence_of_Weak_Trends_with_an_Application_to_the_Human_Origin_of_Global_Warming" target="_blank">Robust Cointegration Testing in the Presence of Weak Trends, with an Application to the Human Origin of Global Warming</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 9.106091
  +"parent": null
}