OK, this isn't specific to the information equilibrium model, but I think I did a pretty awesome job of estimating what the effective Fed funds rate would be after the Fed's rate rise. I predicted a value of 0.35% (scenario C, a 0.25% rise in both the ceiling and floor rate) and we get ...
Note that halfway in between 0.25 and 0.5 would be a bit higher at 0.38%.
Update 13 January 2016
Here's an update with a bit more analysis of the log midpoint vs midpoint versions of the estimated EFF. Here are both estimates with data from 2011-present along with error and the error distribution:
I don't think this is necessarily the proper comparison, however. There are two periods where the EFF data is significantly above the blue line. Most of 2012 and most of 2015. I think these periods might represent expectations of a rate hike -- and therefore aren't random errors, but systematic. Most of 2015 was spent asking when the Fed would finally "lift-off" the zero bound. And 2012 was the last time core PCE inflation had any quarterly data points above 2%. That optimism seems to have been terminated by the disastrous RGDP growth numbers from 2012 Q3 and Q4 (0.5% and 0.1%, respectively). In that case, the deviation above the estimate would be systematic, un-modeled effects rather than measurement error.
Great! How did your competitors do? There must be somebody out there who gave it a go. The SPF guys maybe?ReplyDelete
No idea. I saw no predictions for the EFF.Delete
I asked both Allan Gregory and Dave Giles if they are aware of any such forecasts. I'll let you know if I hear back.Delete
It's not really a forecast ... it's a prior (estimate of an input parameter). The monetary base forecast is based on the model and an estimate of what the EFF would be after the rate rise.Delete
In a sense, it was an application of Benford's law (uniform distribution over a logarithmic scale).
Jim Hamilton seems to think the jump of that size was expected/intended by the Fed: