This paper examines the long-run relationship between income and urban air pollution using a joint distribution dynamics approach. This approach enables to estimate the transition process and long-run distribution and to examine the mechanisms behind the evolution process. The approach is...

We demonstrate how a machine learning algorithm can be applied to predict and explain modern market microstructure phenomena. We investigate the efficacy of various microstructure measures and show that they continue to provide insights into price dynamics in current complex markets. Some...

We provide insights into how the market processes going concern audit opinions based on the trading of some well-documented sophisticated investors—short sellers. We find that abnormal short selling increases significantly upon impending going concern disclosures. While prior literature...

Motivated by direct interactions with practitioners and real-world data, we study a monopoly firm selling multiple substitute products to customers characterized by their different social network degrees. Under the multinomial logit model framework, we assume that the utility a customer with a...