Introduction to the Virtual Issue by Yiqing Xu - Panel Data Analysis and Regression Discontinuity

Over the past ten years, the "causal inference revolution" has dramatically changed the landscape of political science and social sciences in general. The so-called (causal) identifcation problem, i.e., the challenge to identify parameters that have meaningful causal interpretations using observable data, has become part of the daily vocabulary in political science seminars around the world. Moreover, randomized control trials (RCTs), including various types of survey experiments, lab experiments, and field experiments, have entered the standard toolkit of political scientists.

Read Xu's introduction in full by following this link.