Testing for asymmetric employer learning and statistical discrimination

Applied Economics 53(12), June 2021 (with Suqin Ge and Beibei Zhu)
  • Abstract
    We test if firms statistically discriminate workers based on race when employer learning is asymmetric. Using data from the NLSY79, we find evidence of asymmetric employer learning. In addition, employers statistically discriminate against non-college educated black workers at time of hiring. We also find that employers directly observe most of the productivity of college graduates at hiring and learn very little over time about these workers.
  • CitationBibTeX
    Suqin Ge, Andrea Moro, and Beibei Zhu. "Testing for asymmetric employer learning and statistical discrimination," Applied Economics 53(12), pp. 1361-1377, June 2021 
    @article{ge-moro-zhu-asymmetric-learning-2021,
    title = "Testing for asymmetric employer learning and statistical discrimination",
    author = "Suqin Ge and Andrea Moro and Beibei Zhu",
    year = "2021",
    month = " June ",
    journal = "Applied Economics",
    number = "12",
    volume = "53",
    pages = "1361-1377",
    url = "http://andreamoro.net/assets/papers/asymmetric-learning.pdf"
}