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This paper presents a basic plan for developing a Forecast and Policy Analysis System designed to support an inflation-forecast targeting regime at a central bank. It includes discussion of the development of data management and reporting processes; the creation of a forecast team and the development of human capital; the implementation of a simple model, plus possible extensions; and the management of regular economic projections. We emphasize that it is better to implement simple models earlier and use them well, rather than wait in an attempt to develop an all-encompassing model

We find that inflation, output and the stance of monetary policy do not typically display unusual behavior ahead of asset price busts. By contrast, credit, shares of investment in GDP, current account deficits, and asset prices typically rise, providing useful, if not perfect, leading indicators of asset price busts. These patterns could also be observed in the build-up to the current crisis. Monetary policy was not the main, systematic cause of the current crisis. But, with inflation typically under control, central banks effectively accommodated these growing imbalances, raising the risk of

We argue that a stronger emphasis on macrofinancial risk could provide stabilization benefits. Simulations results suggest that strong monetary reactions to accelerator mechanisms that push up credit growth and asset prices could help macroeconomic stability. In addition, using a macroprudential instrument designed specifically to dampen credit market cycles would also be useful. But invariant and rigid policy responses raise the risk of policy errors that could lower, not raise, macroeconomic stability. Hence, discretion would be required