A VAR with K Time Series Variables Consists of

Multiple Choice

A VAR with k time series variables consists of

A) k equations, one for each of the variables, where the regressors in all equations are lagged values of all the variables
B) a single equation, where the regressors are lagged values of all the variables
C) k equations, one for each of the variables, where the regressors in all equations are never more than one lag of all the variables
D) k equations, one for each of the variables, where the regressors in all equations are current values of all the variables