In recent years, pay transparency in job postings has been proposed as one way to combat wage stagnation and reduce gender and racial wage gaps. However, there is limited empirical research on the impact of pay transparency in job postings on the labor market. While it may increase information...

There is growing concern that the rise of algorithmic decision-making can lead to discrimination against legally protected groups, but measuring such algorithmic discrimination is often hampered by a fundamental selection challenge. We develop new quasi-experimental tools to overcome this...

We develop new quasi-experimental tools to measure racial discrimination, due to either racial bias or statistical discrimination, in the context of bail decisions. We show that the omitted variables bias in observational release rate comparisons can be purged by using the quasi-random...

This paper connects changes in employer characteristics through job transitions to employee earnings following mergers and acquisitions (M&As). Using firm balance sheet data linked to individual earnings data in Canada and a matched difference-in-differences design, we find that after M&As...

We develop new quasi-experimental tools to measure disparate impact, regardless of its source, in the context of bail decisions. We show that omitted variables bias in pretrial release rate comparisons can be purged by using the quasi-random assignment of judges to estimate average pretrial...

This paper uses two theoretical perspectives, information processing and resource dependency, to examine global account management (the co-ordination of activities involved in serving a single customer in multiple countries). It is hypothesized that global account management structures allow the...