Traditional models of the economics of search suggest that as the material costs associated with searching for products and services are greatly reduced because of the Internet, consumers should search more extensively in online contexts. Recent empirical evidence strongly contradicts this...

Deep learning is playing an increasingly important role in time series analysis. We focused on time series forecasting using attention free mechanism, a more efficient framework, and proposed a new architecture for time series prediction for which linear models seem to be unable to capture the...

This paper investigates the responses of firms and governments to social media activities. The unexpected release and short­lived circulation of the environmental documentary Under the Dome in China in 2015 offers a natural experiment. We combine a comprehensive firm-­level pollutant emissions...

We study the role of inattention as a key source of inertia in health plan choices. Our structural model shows that more than 90% of the elderly in Switzerland are inattentive and thus stick to their previous plan. We estimate sizeable switching costs ($1,200) even conditional on attention...

In this paper we investigate the predictability of cryptocurrency returns following increases in COVID-19 cases/deaths. We find that the rate of government intervention moderates the impact that COVID-19 cases/deaths have on cryptocurrency returns. We show that in periods of tightening...