When estimating a treatment effect from observational data, researchers encounter bias regardless of estimation methods. In this paper, we focus on a particular method of estimation called Balance ...

A team of researchers led by Professor XIE Chengjun and Associate Professor ZHANG Jie at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an innovative Decoupled ...

We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...

Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, ...