With the growing prominence of big data and algorithms in the hiring process, it seems only apt to systematically identify the effect that these changes are having on labor markets. In this paper, I seek to take the first step in filling this void by systematically analyze the effect of big data and algorithms on discrimination in the hiring process. I conduct a correspondence study adapted to the new job application process to see how big data and algorithms are affecting discrimination in the hiring process
What if hiring algorithms rejected job applicants explicitly for being women? Amazon’s experimental ...
Research on employers’ hiring discrimination is limited by the unlawfulness of such activity. Conseq...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
Employers often struggle to assess qualified applicants, particularly in contexts where they receive...
Hiring discrimination is illegal, morally distasteful, and seen as incommensurate with modern societ...
A data revolution is transforming the workplace. Employers are increasingly relying on algorithms to...
Education and skills should be the key determinants of whether a candidate gets a job or not, but in...
What are the labor market effects of using algorithms for hiring? How can digitization improve hirin...
This dissertation provides new insights into the study of hiring discrimination related to three dim...
Ethnic and racial discrimination in the hiring process is a common and documented problem. Scientist...
This paper presents evidence from a field experiment designed to evaluate the efficacy of anonymous ...
We test the implications of a statistical discrimination model with asymmetric learning. Firms recei...
Can algorithms be used to advance equality goals in the workplace? A handful of legal scholars have ...
The study aims to identify whether algorithmic decision making leads to unfair (i.e., unequal) treat...
Decades of racial progress have led some researchers and policymakers to doubt that discrimination r...
What if hiring algorithms rejected job applicants explicitly for being women? Amazon’s experimental ...
Research on employers’ hiring discrimination is limited by the unlawfulness of such activity. Conseq...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
Employers often struggle to assess qualified applicants, particularly in contexts where they receive...
Hiring discrimination is illegal, morally distasteful, and seen as incommensurate with modern societ...
A data revolution is transforming the workplace. Employers are increasingly relying on algorithms to...
Education and skills should be the key determinants of whether a candidate gets a job or not, but in...
What are the labor market effects of using algorithms for hiring? How can digitization improve hirin...
This dissertation provides new insights into the study of hiring discrimination related to three dim...
Ethnic and racial discrimination in the hiring process is a common and documented problem. Scientist...
This paper presents evidence from a field experiment designed to evaluate the efficacy of anonymous ...
We test the implications of a statistical discrimination model with asymmetric learning. Firms recei...
Can algorithms be used to advance equality goals in the workplace? A handful of legal scholars have ...
The study aims to identify whether algorithmic decision making leads to unfair (i.e., unequal) treat...
Decades of racial progress have led some researchers and policymakers to doubt that discrimination r...
What if hiring algorithms rejected job applicants explicitly for being women? Amazon’s experimental ...
Research on employers’ hiring discrimination is limited by the unlawfulness of such activity. Conseq...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...