Monetary policy in a data-rich environment

Bai, 2002, Determining the number of factors in approximate factor models, Econometrica, 70, 191, 10.1111/1468-0262.00273 Battini, N., Haldane, A.G., 1999. Forward-looking rules for monetary policy. In: Taylor, J.B. (Ed.), Monetary Policy Rules. University of Chicago Press for NBER, Chicago. Beckner, 1996 Boivin, J., 2001. The Fed's conduct of monetary policy: has it changed and does it matter? Columbia University, Unpublished. Christiano, L., Eichenbaum, M., Evans, C., 2000. Monetary policy shocks: what have we learned and to what end? In: Taylor, J., Woodford, M. (Eds.), Handbook of Macroeconomics. North-Holland, Amsterdam. Clarida, 1999, The science of monetary policy, Journal of Economic Literature, 37, 1661, 10.1257/jel.37.4.1661 Clarida, 2000, Monetary policy rules and macroeconomic stability, Quarterly Journal of Economics, 115, 147, 10.1162/003355300554692 Croushore, D., Stark, T., 2002. A real-time data set for macroeconomists: does the data vintage matter? Review of Economics and Statistics, Forthcoming. Forni, 1996, Dynamic common factors in large cross-sections, Empirical Economics, 21, 27, 10.1007/BF01205493 Forni, 2000, The generalized dynamic factor model, Review of Economics and Statistics, 82, 540, 10.1162/003465300559037 Ghysels, E., Swanson, N.R., Callan, M., 1998. Monetary policy rules and data uncertainty. Penn State University, Unpublished. Knox, T., Stock, J.H., Watson, M.W., 2000. Empirical Bayes forecasts of one time series using many predictors. Harvard University, Unpublished. Leeper, 1996, What does monetary policy do?, Brookings Papers on Economic Activity, 2, 1, 10.2307/2534619 Orphanides, 2001, Monetary policy rules based on real-time data, American Economic Review, 91, 964, 10.1257/aer.91.4.964 Quah, D., Sargent, T.J., 1993. A dynamic index model for large cross sections. In: Stock, J.H., Watson, M.W. (Eds.), Business Cycles, Indicators, and Forecasting. University of Chicago Press for NBER, Chicago. Romer, 2000, Federal reserve information and the behavior of interest rates, American Economic Review, 90, 429, 10.1257/aer.90.3.429 Sargent, T.J., Sims, C.A., 1977. Business cycle modeling without pretending to have too much a-priori economic theory. In: Sims, C., et al. (Eds.), New Methods in Business Cycle Research. Federal Reserve Bank of Minneapolis, Minneapolis. Sims, 1992, Interpreting the macroeconomic times series facts, European Economic Review, 36, 975, 10.1016/0014-2921(92)90041-T Stock, 1989 Stock, 1999, Forecasting Inflation, Journal of Monetary Economics, 44, 293, 10.1016/S0304-3932(99)00027-6 Stock, 2002, Macroeconomic forecasting using diffusion indexes, Journal of Business & Economic Statistics, 20, 147, 10.1198/073500102317351921 Taylor, 1993, Discretion versus policy rules in practice, Carnegie Rochester Conference Series on Public Policy, 39, 195, 10.1016/0167-2231(93)90009-L Watson, M.W., 2000. Macroeconomic forecasting using many predictors. Princeton University, Unpublished.