A Sufficient Statistics Approach for Macro Policy

Author:

Barnichon Régis1,Mesters Geert2

Affiliation:

1. Federal Reserve Bank of San Francisco (email: )

2. Universitat Pompeu Fabra and CREI (email: )

Abstract

The evaluation of macroeconomic policy decisions has traditionally relied on the formulation of a specific economic model. In this work, we show that two statistics are sufficient to detect, often even correct, nonoptimal policies, i.e., policies that do not minimize the loss function. The two sufficient statistics are (i) forecasts for the policy objectives conditional on the policy choice and (ii) the impulse responses of the policy objectives to policy shocks. Both statistics can be estimated without relying on a specific structural economic model. We illustrate the method by studying US monetary policy decisions. (JEL E24, E31, E32, E43, E52, E58)

Publisher

American Economic Association

Subject

Economics and Econometrics

Reference45 articles.

1. Using the Sequence‐Space Jacobian to Solve and Estimate Heterogeneous‐Agent Models

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3. Barnichon, Régis, and Geert Mesters. 2023. "Replication data for: A Suf cient Statistics Approach for Macro Policy." American Economic Association [publisher], Inter-university Consortium for Political and Social Research [distributor]. https://doi.org/10.3886/E192424V1.

4. Bernanke, Ben S. 2015. The Taylor Rule: A Benchmark for Monetary Policy? Washington, DC: Brookings.

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