A Public Dataset of Firm-Level Employment Practices
Corporate human resource practices, such as work-from-home policies, shape the future of work, however, researchers do not have a reliable, long-term, public dataset on firm-level practices. Labor scholar Peter Norlander will develop a dataset of employment practices for a sample of publicly traded firms and a sample of large private firms, government agencies, and non-profit employers. He will complete the construction of machine learning algorithms that will identify job characteristics using the text from job advertisements.