Monetary policy decisions by the world's central banks using real-time data

This paper contributes to the empirical understanding of monetary policy in five dimensions. First, specifiying a generalized Taylor equation that nests backward and forward-looking inflation and activity variables in setting policy rates. Second, using real-time data. Third, estimating the model on a world panel of monthly 1994-2011 data for 28 advanced and emerging economies. Fourth, using alternative panel data estimators to test for robustness. Fifth, testing for differences in monetary policy over time and across country groups. The findings are very supportive of the nested model and generally show that the Taylor principle is satisfied by the world's central banks.