Essec\Faculty\Model\Contribution {#6196
  #_index: "academ_contributions"
  #_id: "12429"
  #_source: array:26 [
    "id" => "12429"
    "slug" => "deleting-unreported-innovation"
    "yearMonth" => "2022-01"
    "year" => "2022"
    "title" => "Deleting Unreported Innovation"
    "description" => "KOH, P.S., REEB, D.M., SOJLI, E., THAM, W.W. et WANG, W. (2022). Deleting Unreported Innovation. <i>Journal of Financial and Quantitative Analysis</i>, 57(6), pp. 2324-2354."
    "authors" => array:5 [
      0 => array:3 [
        "name" => "KOH Ping-Sheng"
        "bid" => "B00703612"
        "slug" => "koh-ping-sheng"
      ]
      1 => array:1 [
        "name" => "REEB David M."
      ]
      2 => array:1 [
        "name" => "SOJLI Elvira"
      ]
      3 => array:1 [
        "name" => "THAM Wing Wah"
      ]
      4 => array:1 [
        "name" => "WANG Wendun"
      ]
    ]
    "ouvrage" => ""
    "keywords" => []
    "updatedAt" => "2023-02-09 14:16:03"
    "publicationUrl" => "https://doi.org/10.1017/S0022109021000764"
    "publicationInfo" => array:3 [
      "pages" => "2324-2354"
      "volume" => "57"
      "number" => "6"
    ]
    "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" => "The absence of observable innovation data for a firm often leads us to exclude or classify these firms as non-innovators. We assess the reliability of six methods for dealing with unreported innovation using several different counterfactuals for firms without reported R&D or patents. These tests reveal that excluding firms without observable innovation or imputing them as zero innovators and including a dummy variable can lead to biased parameter estimates for observed innovation and other explanatory variables. Excluding firms without patents is especially problematic, leading to false-positive results in empirical tests. Our tests suggest using multiple imputation to handle unreported innovation."
      "en" => "The absence of observable innovation data for a firm often leads us to exclude or classify these firms as non-innovators. We assess the reliability of six methods for dealing with unreported innovation using several different counterfactuals for firms without reported R&D or patents. These tests reveal that excluding firms without observable innovation or imputing them as zero innovators and including a dummy variable can lead to biased parameter estimates for observed innovation and other explanatory variables. Excluding firms without patents is especially problematic, leading to false-positive results in empirical tests. Our tests suggest using multiple imputation to handle unreported innovation."
    ]
    "authors_fields" => array:2 [
      "fr" => "Comptabilité et Contrôle de Gestion"
      "en" => "Accounting and Management Control "
    ]
    "indexedAt" => "2024-04-20T14:21:44.000Z"
    "docTitle" => "Deleting Unreported Innovation"
    "docSurtitle" => "Articles"
    "authorNames" => "<a href="/cv/koh-ping-sheng">KOH Ping-Sheng</a>, REEB David M., SOJLI Elvira, THAM Wing Wah, WANG Wendun"
    "docDescription" => "<span class="document-property-authors">KOH Ping-Sheng, REEB David M., SOJLI Elvira, THAM Wing Wah, WANG Wendun</span><br><span class="document-property-authors_fields">Comptabilité et Contrôle de Gestion</span> | <span class="document-property-year">2022</span>"
    "keywordList" => ""
    "docPreview" => "<b>Deleting Unreported Innovation</b><br><span>2022-01 | Articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://doi.org/10.1017/S0022109021000764" target="_blank">Deleting Unreported Innovation</a>"
  ]
  +lang: "fr"
  +"_type": "_doc"
  +"_score": 8.9981365
  +"parent": null
}