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Academia, and economics in particular, faces increased scrutiny because of gender imbalance. This paper studies the job market for entry-level faculty positions. We employ machine learning methods to analyze gendered patterns in the text of 9,000 reference letters written in support of 2,800...
Persistent link: https://www.econbiz.de/10014083883
Persistent link: https://www.econbiz.de/10014234232
Persistent link: https://www.econbiz.de/10014391896
Academia, and economics in particular, faces increased scrutiny because of gender imbalance. This paper studies the job market for entry-level faculty positions. We employ machine learning methods to analyze gendered patterns in the text of 9,000 reference letters written in support of 2,800...
Persistent link: https://www.econbiz.de/10012821877
Persistent link: https://www.econbiz.de/10012804724
Persistent link: https://www.econbiz.de/10015398669
We study the gendered impact of recommendations at different stages of the hiring process. First, using a large sample of reference letters from the academic job market for economists, we document that women receive fewer "ability" and more "grindstone" letters. Next, we conduct two experiments...
Persistent link: https://www.econbiz.de/10015338736
We study the gendered impact of recommendations at different stages of the hiring process. First, using a large sample of reference letters from the academic job market for economists, we document that women receive fewer "ability" and more "grindstone" letters. Next, we conduct two experiments...
Persistent link: https://www.econbiz.de/10015358977
Persistent link: https://www.econbiz.de/10015409096