Social Learning and Monetary Policy Rules
We analyse the effects of social learning in a monetary policy context. Social learning might be viewed as more descriptive of actual learning behaviour in complex market economies. In our model, Taylor Principle governs uniqueness and expectational stability of rational expectations equilibrium (RE...
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Veröffentlicht in: | The Economic journal (London) 2013-03, Vol.123 (567), p.38-76 |
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creator | Arifovic, Jasmina Bullard, James Kostyshyna, Olena |
description | We analyse the effects of social learning in a monetary policy context. Social learning might be viewed as more descriptive of actual learning behaviour in complex market economies. In our model, Taylor Principle governs uniqueness and expectational stability of rational expectations equilibrium (REE) under homogeneous recursive algorithms. We find that the Taylor Principle is not necessary for convergence to REE minimum state variable (MSV) equilibrium under social learning. Sunspot equilibria exist in the indeterminate region. Our agents cannot co-ordinate on a sunspot equilibrium in general form specification, however, they can co-ordinate on common factor specification. We contribute to the use of genetic algorithm learning in stochastic environments. |
doi_str_mv | 10.1111/j.1468-0297.2012.02525.x |
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We contribute to the use of genetic algorithm learning in stochastic environments.</description><subject>Algorithms</subject><subject>Coefficients</subject><subject>Convergence</subject><subject>Economic inflation</subject><subject>Economic models</subject><subject>Economic value</subject><subject>Equilibrium</subject><subject>Genetic mutation</subject><subject>Learning</subject><subject>Market economies</subject><subject>Monetary policy</subject><subject>Observational learning</subject><subject>Rational expectations</subject><subject>Recursive algorithms</subject><subject>Simulations</subject><subject>Standard deviation</subject><subject>Studies</subject><subject>Sunspots</subject><subject>Taylor rule</subject><issn>0013-0133</issn><issn>1468-0297</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqNkE1LwzAYx4MoOKcfQSh40UNrXpf0Isic82U6cYrHkKaptHbtTFrcvr2plR08-UBI4P_Ckx8AAYIR8nNeRIiORAhxzCMMEY4gZphF6x0w2Aq7YAAhIqE_ZB8cOFdAP5jQAThb1DpXZTAzylZ59R6oKg0e6so0ym6Cp7rM9SZ4bkvjDsFepkpnjn7vIXi9nryMb8LZfHo7vpyFmtGYhYKZxGiaJlgZQ-IUc6hIijKaMpJkWGsCFTYJZiLjPFEjTFgMhc6MEEwkOCFDcNr3rmz92RrXyGXutClLVZm6dRIRxJkYQRp768kfa1G3tvLbdS7KYopj5l2id2lbO2dNJlc2X_rvSQRlx1AWskMlO1SyYyh_GMq1j1700a-8NJt_5-RkPL_rnr7guC8oXFPbbYFHzyHjwuthr-euMeutruyHHHHCmXx7nEpK7vHVgi_klHwDXVmOZw</recordid><startdate>201303</startdate><enddate>201303</enddate><creator>Arifovic, Jasmina</creator><creator>Bullard, James</creator><creator>Kostyshyna, Olena</creator><general>Blackwell Publishing Ltd</general><general>Wiley-Blackwell</general><general>Oxford University Press</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>201303</creationdate><title>Social Learning and Monetary Policy Rules</title><author>Arifovic, Jasmina ; Bullard, James ; Kostyshyna, Olena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5495-85ebec4db2aee39d270a3d1f4d53bf2cc30a2eb258f77ba6235908cfe8858b2b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Coefficients</topic><topic>Convergence</topic><topic>Economic inflation</topic><topic>Economic models</topic><topic>Economic value</topic><topic>Equilibrium</topic><topic>Genetic mutation</topic><topic>Learning</topic><topic>Market economies</topic><topic>Monetary policy</topic><topic>Observational learning</topic><topic>Rational expectations</topic><topic>Recursive algorithms</topic><topic>Simulations</topic><topic>Standard deviation</topic><topic>Studies</topic><topic>Sunspots</topic><topic>Taylor rule</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arifovic, Jasmina</creatorcontrib><creatorcontrib>Bullard, James</creatorcontrib><creatorcontrib>Kostyshyna, Olena</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>The Economic journal (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Arifovic, Jasmina</au><au>Bullard, James</au><au>Kostyshyna, Olena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social Learning and Monetary Policy Rules</atitle><jtitle>The Economic journal (London)</jtitle><date>2013-03</date><risdate>2013</risdate><volume>123</volume><issue>567</issue><spage>38</spage><epage>76</epage><pages>38-76</pages><issn>0013-0133</issn><eissn>1468-0297</eissn><coden>ECJOAB</coden><abstract>We analyse the effects of social learning in a monetary policy context. 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subjects | Algorithms Coefficients Convergence Economic inflation Economic models Economic value Equilibrium Genetic mutation Learning Market economies Monetary policy Observational learning Rational expectations Recursive algorithms Simulations Standard deviation Studies Sunspots Taylor rule |
title | Social Learning and Monetary Policy Rules |
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