Taylor Rule

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Definition

The Taylor rule (Taylor 1993) is a monetary policy reaction function that specifies the central bank's target for the short-term nominal interest rate iti_t as a function of the output gap and the deviation of inflation from target:

it=r+π+ϕπ(πtπ)+ϕy(ytyt)i_t = r^* + \pi^* + \phi_\pi (\pi_t - \pi^*) + \phi_y (y_t - y_t^*)

where rr^* is the long-run real interest rate, π\pi^* is the inflation target, ϕπ>0\phi_\pi > 0 is the inflation response coefficient (Taylor's original value: 1.5), ϕy0\phi_y \geq 0 is the output gap coefficient (Taylor's original value: 0.5), and ytyty_t - y_t^* is the output gap. Taylor's original numeric rule was r=p+0.5y+0.5(p2)+2  (=1.5p+0.5y+1)r = p + 0.5y + 0.5(p-2) + 2 \; (=1.5p + 0.5y + 1) with r=π=2%r^*=\pi^*=2\% (so the funds rate is 4% when inflation and output are on target); it closely tracked U.S. Federal Reserve policy over 1987–1992.

Key Ideas

How It Works

The rule is embedded in Vector Autoregression (VAR) models as an identifying restriction for monetary policy shocks: the "recursiveness assumption" (Christiano-Eichenbaum-Evans 1999) orders the policy instrument after the slow-moving macro variables (output, prices) but before the fast-moving financial variables — so policy responds to contemporaneous macro conditions but those conditions do not respond to policy within the period, while the fast financial variables react to the policy shock contemporaneously. See Monetary Policy Shocks and Sign Restriction Identification for identification strategies.

Why It Matters

The Taylor rule provides a benchmark for evaluating central bank behaviour and for identifying monetary policy shocks in structural VARs. Deviations from the rule have been used to assess whether policy was "too loose" (as argued for the pre-2007 period) or "too tight."

Open Questions

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