Rationalizing A Rate Hike With Models

 | Sep 17, 2015 11:15AM ET

The Federal Reserve may or may not raise interest rates today—the mystery will be solved when today’s policy announcement hits the streets at 2:00 pm eastern. Meanwhile, what’s the case for squeezing liquidity, if only slightly? US economic growth, after all, has been sluggish lately, which inspires Goldman Sachs (NYSE:GS) CEO Lloyd Blankfein (among others) to recommend that the central bank delay the first hike in over a decade. The economic data “is not compelling to raise interest rates right now,” he says. An open-and-shut case? Not quite, which explains the recent obsession with analyzing/forecasting the Fed’s decision that’s finally upon us. So, how might the monetary mavens rationalize raising rates today? By focusing on the specific data points that support a hike. Although Blankfein suggests otherwise, there are some indicators that suggest that tighter policy is appropriate. To be precise, certain models are a hawk’s best friend for arguing that it’s time to pull the trigger.

Exhibit A is the Taylor Rule, which the St. Louis Fed describes as “a simple formula that [economics professor] John Taylor devised to guide policymakers. It calculates what the Federal funds rate should be, as a function of the output gap and current inflation.” Recent estimates via the Taylor Rule tell us that a higher Fed funds rate is warranted—something on the order of 2.5% (blue line in chart below), which is far above the current zero-to-0.25% target (red line).