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A structural ARIMA model can also be referred to as an ARIMAX (autoregressive integrated moving-average model with exogenous variables), since: (i) it differentiates the dependent variable (and the explanatory variables) by order of integration; (ii) it reflects a structural relation between the dependent and explanatory variables; and (iii) it includes autoregressive (AR) and moving-average (MA) terms to satisfactorily model the error process. (p. 154)…”
A structural ARIMA model can also be referred to as an ARIMAX (autoregressive integrated moving-average model with exogenous variables), since: (i) it differentiates the dependent variable (and the explanatory variables) by order of integration; (ii) it reflects a structural relation between the dependent and explanatory variables; and (iii) it includes autoregressive (AR) and moving-average (MA) terms to satisfactorily model the error process. (p. 154)…”