We develop a state‐of‐the‐art fraud prediction model using a machine learning approach. We demonstrate the value of combining domain knowledge and machine learning methods in model building. We select our model input based on existing accounting theories, but we differ from prior...

This paper examines the impact of demographic factors on saving, investment, and external balances. We derive a number of semi-structural equations from national accounting principle and the principle that external balances for the world as a whole must sum to zero. The resulting equations...

This article investigates why many eligible for welfare do not participate. We show that on-the-job wage-rising potential is the key factor motivating nonparticipation. Although individuals with very low earnings and little wage-rising potential are typically welfare recipients, those with good...

The central debate on pollution havens concerns whether the level of environmental regulation in developing countries influences foreign investment location decisions. Most empirical studies are based on aggregate data, while micro-level evidence is relatively lacking in the literature. To fill...

The traditional load identification method is not sufficiently accurate because of the high computational complexity and small load data of specific customer. A depth identification method for a power fingerprint based on the transferability of the V-I trajectory is proposed. First, the method...