This paper uses real-time briefing forecasts prepared for the Federal Open Market Committee (FOMC) to provide estimates of historical changes in the design of U.S. monetary policy and in the implied central-bank target for inflation. Empirical results support a description of policy with an...

Analysts often use financial variables to help predict real activity and inflation. One of the most popular of these variables is the spread between yields on long-term and short-term government instruments, also known as the yield spread. Researchers have shown the spread is a good predictor of...

Monetary policy is typically undertaken with an eye to achieving a select few objectives in the long run. The Federal Reserve conducts monetary policy to promote two long-run goals: price stability and sustainable economic growth. In many other countries, central banks have a single long-run...

Forecasts by rational agents contain embedded initial and terminal boundary conditions. Standard time series models generate two types of long-run "endpoints"---fixed endpoints and moving average endpoints. Neither can explain the shifting endpoints implied by postwar movements in the...

This note extends the analysis in Stark and Croushore (2001) with an emphasis on the importance of data vintage for survey forecasts and modeling expectations. For both of these types of empirical exercises, results suggest that the choice of latest available or real-time data is critical for...

Rounding error is an important source of measurement error that is common in index data. The problem can be traced to rounding that occurs to limit the number of digits after the decimal place to be reported in rebased index data. Rounding error introduces distortions that affect variance...