Social Learning Expectations: Microfoundations and a Dynare Toolbox

39 Pages Posted: 14 May 2023

See all articles by Alex Grimaud

Alex Grimaud

WU Vienna University of Economics and Business; TU Wien

Isabelle Salle

Government of Canada - Bank of Canada; University of Amsterdam; Tinbergen Institute

Gauthier Vermandel

CMAP, Ecole polytechnique, Institut Polytechnique de Paris; LEDa, Paris-Dauphine & PSL Universities

Date Written: May 3, 2023

Abstract

Social learning (SL) is a behavioral model in which expectations and the resulting aggregate dynamics stem from the interactions of a large amount of heterogeneous agents. Nonetheless, this framework has so far lacked micro-foundations and a general-solution method. This paper bridges these two gaps with: (i) a micro-founded New Keynesian model with social learning expectations; (ii) a general solution method that we implement in a Dynare toolbox that solves any linear state-space model with SL expectations. The resulting framework provides a self-contained tool to contrast policy analysis under SL and rational expectations. As an illustration, optimal monetary policy rules are studied under the two expectation regimes.

Keywords: Inflation targeting, Monetary policy, Heterogeneous expectations

JEL Classification: E32, E52, E58, E71

Suggested Citation

Grimaud, Alex and Salle, Isabelle and Vermandel, Gauthier, Social Learning Expectations: Microfoundations and a Dynare Toolbox (May 3, 2023). Available at SSRN: https://ssrn.com/abstract=4437177 or http://dx.doi.org/10.2139/ssrn.4437177

Alex Grimaud (Contact Author)

WU Vienna University of Economics and Business ( email )

Welthandelsplatz 1, Building D1, 3rd Floor
Vienna, 1020
Austria

TU Wien ( email )

Isabelle Salle

Government of Canada - Bank of Canada ( email )

234 Wellington Street
Ontario, Ottawa K1A 0G9
Canada

University of Amsterdam

Spui 21
Amsterdam, 1018 WB
Netherlands

Tinbergen Institute

Burg. Oudlaan 50
Rotterdam, 3062 PA
Netherlands

Gauthier Vermandel

CMAP, Ecole polytechnique, Institut Polytechnique de Paris ( email )

Route de Saclay
Palaiseau, 91128
France

LEDa, Paris-Dauphine & PSL Universities ( email )

Place du Maréchal de Tassigny
Paris, Cedex 16 75775
France

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