We develop empirical models of hedonic prices and derive hedonic indices for measuring changes in customer welfare based upon deep learning. We first generate abstract product attributes, or "features," from text descriptions and images using deep neural networks, and then use these attributes...

Accurate, real-time measurements of price index changes using electronic records are essential for tracking inflation and productivity in today's economic environment. We develop empirical hedonic models that can process large amounts of unstructured product data (text, images, prices,...

Purpose: This study verifies whether the personal psychological factor of power distance disposition is perceived as conformity or obedience to the parties, triggers unethical pro-organisational behaviour (UPB) and is reinforced by hierarchy and market cultures. Design/methodology/approach:...

Tariff reforms in electricity markets is becoming an area of active evaluation as efforts intensify to decarbonize electricity generation, stabilize the power grid, and maximize the welfare of electricity producers and consumers. Peaks in load profiles occur when demand is not regulated,...

Digital technologies may make some tasks, jobs and firms more resilient to unanticipated shocks. We extract data from over 200 million U.S. job postings to construct an index for firms' resilience to the Covid-19 pandemic by assessing the work-from-home (WFH) feasibility of their labor demand....

Young firms are central to productivity and job growth in the United States, yet they fail at high rates. We examine how a recent rise in firms' ability to access information technology as a service affected the survival and performance of young establishments in the U.S. manufacturing sector....