The authors develop a quantitative indicator of the Chinese government's policy priorities over a long period of time, which they call the Policy Change Index (PCI) of China.

For the first time in the literature, we develop a quantitative indicator of the Chinese government's policy priorities over a long period of time, which we call the Policy Change Index (PCI) for China. The PCI is a leading indicator of policy changes that covers the period from 1951 to the...

We have developed a quantitative indicator to predict if and when a series of protests in China, such as the one that began in Hong Kong in 2019, will be met with a Tiananmen-like crackdown. The indicator takes as input protest-related articles published in the People's Daily—the official...

This chapter studies a snowball sampling method for social networks with endogenous peer selection. Snowball sampling is a sampling design which preserves the dependence structure of the network. It sequentially collects the information of vertices linked to the vertices collected in the...

Buying a home for marriage is customary in many societies. Traditionally, therefore, young couples getting married is a key driver of demand for homeownership. Yet the idea of marriage-induced demand for homeownership is a relatively underexplored component of housing price change. We examine...

Conventional wisdom suggests that non-local buyers usually pay a premium for home purchases. While the standard contract theory predicts that non-local buyers may pay such a price premium because of the higher cost of gathering information, behavioral economists argue that the premium is due to...

We develop a deep learning algorithm to estimate the severity of the 2020 COVID-19 outbreak in China by analyzing the language of the People’s Daily, China’s official newspaper. The algorithm uses the 2002–2003 SARS outbreak as the benchmark and learns how the newspaper’s language...