Using household survey data on expenditures and incomes, we construct an objective measure of corruption in the public sector for a broad spectrum of countries. Specifically, we focus on the consumption-income gap for public sector workers relative to private sector workers to gauge the extent...

We develop a novel, scalable method for assessing the quality of public procurement systems using standard administrative data. Our approach compares the distribution of procurement opportunities to the distribution of contract awards across firms. We first derive a simple theoretical benchmark...

This paper investigates how consulting services affect audit quality, from the perspective of knowledge and expertise sharing between employees. Using a comprehensive office-level dataset of employment profiles and skillsets covering 86% of all employees at large U.S. public accounting firms, we...

We study the shifts in U.S. firms’ workforce composition and organization associated with the use of AI technologies. To do so, we leverage a unique combination of worker resume and job postings datasets to measure firm-level AI investments and workforce composition variables, such as...

How does artificial intelligence (AI) impact audit quality and efficiency? We explore this question by leveraging a unique dataset of more than 310,000 detailed individual resumes for the 36 largest audit firms to identify audit firms’ employment of AI workers. We provide a first look into the...

How resilient are high-skilled, white collar workers? We exploit a uniquely comprehensive dataset of individual-level resumes of bank employees and the setting of the Lehman Brothers bankruptcy to estimate the effect of an unanticipated shock on the career paths of mobile and high skilled labor....