<p>This paper introduces an empirical framework for the systematic identification of ghost postings using job posting data from CoreSignal alongside other sources. Preliminary insights suggest that ghost postings can be reliably identified from these data through a combination of features. We have been able to measure and quantify the economic harm to jobseekers and specific demographics that are impacted the most by this fraudulent business practice. This study contributes to the literature on labor market frictions and employer signaling by focusing on a new but understudied hiring practice with significant implications for labor market efficiency and equity.</p>

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Ghost jobs, real costs: labor market distortions from ghost job postings

  • Steven Singer,
  • Derya Oktay

摘要

This paper introduces an empirical framework for the systematic identification of ghost postings using job posting data from CoreSignal alongside other sources. Preliminary insights suggest that ghost postings can be reliably identified from these data through a combination of features. We have been able to measure and quantify the economic harm to jobseekers and specific demographics that are impacted the most by this fraudulent business practice. This study contributes to the literature on labor market frictions and employer signaling by focusing on a new but understudied hiring practice with significant implications for labor market efficiency and equity.