Evaluating real-time VAR forecasts with an informative democratic prior
This paper proposes Bayesian forecasting in a vector autoregression using a democratic prior. This prior is chosen to match the predictions of survey respondents. In particular, the unconditional mean for each series in the vector autoregression is centered around long-horizon survey forecasts. Heavy shrinkage toward the democratic prior is found to give good real-time predictions of a range of macroeconomic variables, as these survey projections are good at quickly capturing endpoint-shifts.
|Date of creation:||2010|
|Contact details of provider:|| Postal: 10 Independence Mall, Philadelphia, PA 19106-1574|
Web page: http://www.philadelphiafed.org/
More information through EDIRC
|Order Information:|| Web: http://www.phil.frb.org/econ/wps/index.html Email: |