A VAR with k time series variables consists of: O A. kequations, one for each of...

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A VAR with k time series variables consists of: O A. kequations, one for each of the variables, where the regressors in all equations are current values of all the variables. O B. a single equation, where the regressors are lagged values of all the variables. O C. k equations, one for each of the variables, where the regressors in all equations are lagged values of all the variables. O D. k equations, one for each of the variables, where the regressors in all equations are never more than one lag of all the variables. A VAR with k time series variables consists of: O A. kequations, one for each of the variables, where the regressors in all equations are current values of all the variables. O B. a single equation, where the regressors are lagged values of all the variables. O C. k equations, one for each of the variables, where the regressors in all equations are lagged values of all the variables. O D. k equations, one for each of the variables, where the regressors in all equations are never more than one lag of all the variables.

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