In time series, the definition of causal effects
A)says that one variable helps predict another variable.
B)does not make much sense since there are not multiple subjects.
C)assumes that the same subject is being given different treatments at different points in time.
D)requires panel data.

Question

Quizplus · Accepted Answer

In time series, causal effects assume that the same subject is exposed to different treatments or conditions at different times, allowing for the analysis of how changes in one variable affect another over time.

In Time Series, the Definition of Causal Effects