This book shows that time series methods are useful in developing structural models for policy and forecasting. It aims to show that alternative techniques such as JML and GETS are highly useful. The general to specific methodology, applied in searching for the dynamic lag structure, adequately captures the dynamics of the equations. It also shows that the two widely used time series methods, GETS and JML produce close estimates of cointegrating coefficients and, therefore, are equally useful. Further, it is noted that alternative econometric methods, if carefully used, are likely to give similar results. The work shows that it is pointless to endlessly argue that one technique is superior to another. The work guides applied researchers in developing large-scale policy models.