We explore the raw data from the US Securities and Exchange Commission’s (SEC) Electronic Data-Gathering, Analysis, and Retrieval (EDGAR) website which contains visitor’s IP address, timestamp, and the company that the visitor searched. The outline is as follow.
1. Our study conducts asset pricing models based on individual stocks, see Ang, Liu, and Schwarz (2020).
2. We adopt the Spatial Arbitrage Pricing Theory (S-APT) to study asset pricing with co-search relation. We extend the S-APT model to study general information-driven relationships.
The project focuses on the negative consequences caused by the locust swarms invasion, and it is crucial to identify the invasion's locations. The proposal employs the locust data from the Locust Hub of the Desert Locust Information Service (DLIS) initiated by the FAO, which has searched for and codes locust bands and swarms in regions prone to pest presence and reproduction in different countries since 1975. Then the project explores its adverse effect on three perspectives: (1) education and cognition, (2) labor market performance, and (3) health status.
This research aims to examine various determinants of the occurrence of child trafficking. Trafficking in children is a severe humanitarian problem that damages social harmony and leads to considerable tragedy. We propose a novel and national-representative dataset of incidents of child trafficking by scraping the posts on the website Baby Come Back Home (BCBH). This research consists of three projects; each links the trafficking to the following variables: (1) China’s highway routes between 1998 and 2013; (2) educational infrastructure; (3) the 1978-84 land reform in China.
Grants-in-Aid for Scientific Research (KAKEN) - Japan Society for the Promotion of Science