We use data from Google Trends to predict the effect of the COVID-19 pandemic on future births in the United States. First, we show that periods of above-normal search volume for Google keywords relating to conception and pregnancy in US states are associated with higher numbers of births in the...

We construct two operational systems of a perishable firm, the traditional and quick-response systems, selling to strategic consumers with regrets or without regrets over two periods. When strategic consumers buy the product at the full-price period, they may experience high-price regret....

The emergence of platform-based home sharing, such as Airbnb, allows investors to purchase houses from residential markets and rent them out as transient accommodations. Debates on housing affordability have arisen due to redistributed home supply from residential markets to home-sharing...

Algorithms penetrate housing markets and have far-reaching effects on household well-being. We study algorithmic buyers (iBuyers) - through which platforms use algorithms to quickly value, buy, and sell homes - and their impact on housing affordability. Using millions of Zillow transaction data...

Part 1. Fintech In China -- Chapter 1. Overview Of FIntech -- Chapter 2. Fintech Is Impacting The Financial Industry -- Chapter 3. The Rise Of Bigtechs In The Financial Market -- Chapter 4. Digital Currency -- Chapter 5. Financial Consumer Protection In Fintech Field -- Part 2. Suptech In China...