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...

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:...

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,...

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,...

This paper examines how asymmetric information affects peer-to-peer lending in China. We find that default rates rise significantly with interest rates. Specifically, borrowers who select interest rates above the legal maximum private lending rate of 15.4% are more likely to default. A lack of...

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....

We investigate the stakeholder theory of capital structure from the perspective of a firm's relationships with its employees. We find that firms that treat their employees fairly (as measured by high employee-friendly ratings) maintain low debt ratios. This result is robust to a variety of model...