In this study, we propose a novel approach to detect supply-side media bias, independent of external factors like ownership or editors' ideological leanings. Analyzing over 100,000 articles from The New York Times (NYT) and The Wall Street Journal (WSJ), complemented by data from 22 million...

We offer an explanation of why changes of house price are predictable. Extending the static model in Leung and Tsang (2010), we analyze the housing market with loss averse sellers and anchoring buyers in a dynamic setting. Buyer's current offer price increases with the housing unit's previous...

Hollywood blockbusters are usually released in the U.S. before other foreign markets. The release gaps have declined significantly over time and varied greatly across countries. While movie piracy has been suggested as an important determinant for the release gap decision of distributors, theory...

We construct a structural model that allows us to jointly estimate the demand for smartphones and paid apps using a Bayesian approach. Our data comes from more than 500 college students in Hong Kong and Shanghai. We find that the moral cost rather than the monetary cost of jailbreaking...

Short-term rentals, where tourists stay at private residences, have become ubiquitous over the past decade. Many communities are divided over the tradeoffs between a property owner's rights and nuisance problems created by transient populations in residential neighborhoods. This paper...

In this paper we develop a simple model to link anchoring and loss aversion with house price dynamics. We have two testable implications: 1) when both cognitive biases are present, price dispersion and trade volume are pro-cyclical; 2) if anchoring decreases with time, then price dispersion and...