Discussion of “Monetary Policy Inertia or Persistent Shocks?” by Julio Carrillo, Patrick F`eve and Julien Matheron Ulf S¨oderstr¨om IGIER, Bocconi University May 2006

Background ˆ Generalized Taylor (1993) rule:

it = (1 − ρ1) [aπ πt + ay yt] + ρ1it−1 + et et = ρ2et−1 + νt ˆ Taylor (1993): aπ = 1.5, ay = 0.5, ρ1 = ρ2 = 0 works well 1987–92

Figure ˆ Any other sample, autocorrelated residuals: Figure ˆ Interpretation:

– Clarida et al. (2000): ρ1 > 0, ρ2 = 0, partial adjustment – Rudebusch (2002): ρ1 = 0, ρ2 > 0, omitted variables ˆ Econometric problem: Difficult identify ρ1, ρ2

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This paper ˆ Use cross-equation restrictions from DSGE model to identify ρ1, ρ2

– DSGE model with Taylor rule + estimated VAR – Choose ρ1, ρ2 to match VAR response to monetary policy shock (νt) ˆ Results

– Match i response: ρ1, ρ2 not identified – Match i, y, π, π w , ξ responses: ρ1 small, ρ2 large – Benchmark estimates: ρ1 = 0.298, ρ2 = 0.874, σν = 0.169 ˆ Persistent shocks more important than partial adjustment ˆ Cross-equation restrictions crucial in estimation: behavior of π, π w important ˆ Identification problem (“multiple local optima”) highlighted

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Comments 1. Strong evidence against the Taylor rule! 2. What is wrong with the Taylor rule? 3. What is a monetary policy shock? 4. Minor issues

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Evidence against the Taylor rule ˆ Very large exogenous deviations from the Taylor rule:

et = 0.874et−1 + νt,

σν = 0.169

⇒ Var(et) = 1.80, but Var(it) = 0.58 empirically ˆ Plot actual and fitted it: Figure ˆ Consistent with evidence from S¨ oderlind, S¨oderstr¨om and Vredin (2005)

– Rewrite rule as ∆it = (1 − ρ1) |[aπ πt + a{zy yt − it−1]} + et xt

– xt strongly predictable, ∆it not very predictable – et must be very volatile ˆ Taylor rule omits important elements

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What is wrong with the Taylor rule? ˆ Not very attractive theoretically: CB not very sophisticated (Svensson, 2003) ˆ What would an optimizing CB do? Use all state variables!

Try state variables from DSGE model! ˆ What has the Fed been doing?

Compare with VAR equation!

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What is a monetary policy shock? ˆ Deviation from specified policy rule ˆ With partial adjustment, interpretation of MP shock immediate ˆ With omitted variables, not so obvious:

Shock to omitted variable or to interest rate? ˆ Should we match the effects of omitted variable shock?

Not same as identified VAR shock. ˆ Compare with other shock in VAR?

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Minor issues ˆ Very long sample (1960–2003), more than one policy regime? ˆ Quarterly GDP inflation vs. annual CPI inflation? ˆ Taylor rule better with other calibration?

Report ρ1, ρ2 also in sensitivity analysis. ˆ How does model match interest rate response to other shocks?

Independent check.

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The Taylor (1993) rule

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Estimated Taylor rule without smoothing 5 Actual Fitted

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Actual and fitted interest rate using CFM estimates 6 Actual Fitted 5

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Fitted: it = 0.702 [1.5πt + 0.125yt] + 0.298it−1 Back 10

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References Clarida, Richard, Jordi Gal´ı, and Mark Gertler (2000), “Monetary policy rules and macroeconomic stability: Evidence and some theory,” Quarterly Journal of Economics, 115 (1), 147–180. Rudebusch, Glenn D. (2002), “Term structure evidence on interest rate smoothing and monetary policy inertia,” Journal of Monetary Economics, 49 (6), 1161–1187. S¨oderlind, Paul, Ulf S¨oderstr¨om, and Anders Vredin (2005), “Dynamic Taylor rules and the predictability of interest rates,” Macroeconomic Dynamics, 9 (3), 412–428. Svensson, Lars E. O. (2003), “What is wrong with Taylor rules? Using judgment in monetary policy through targeting rules,” Journal of Economic Literature, 41 (2), 426–477. Taylor, John B. (1993), “Discretion versus policy rules in practice,” Carnegie-Rochester Conference Series on Public Policy, 39, 195–214.

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Monetary Policy Inertia or Persistent Shocks?

Generalized Taylor (1993) rule: it = (1 − ρ1)[aππt + ayyt] + ρ1it−1 + et et = ρ2et−1 + νt. Taylor (1993): aπ = 1.5,ay = 0.5,ρ1 = ρ2 = 0 works well 1987–92. Figure. Any other sample, autocorrelated residuals: Figure .... of Economic Literature, 41 (2), 426–477. Taylor, John B. (1993), “Discretion versus policy rules in practice,” ...

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