<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>James Bullard | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/james-bullard/</link><description>James Bullard</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/james-bullard/index.xml" rel="self" type="application/rss+xml"/><item><title>Soft landing and inflation scares</title><link>https://macropaperwarehouse.com/papers/soft-landing-and-inflation-scares/</link><guid>https://macropaperwarehouse.com/papers/soft-landing-and-inflation-scares/</guid><description>&lt;p&gt;&lt;strong&gt;Research Question&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Why did the 2021–2023 US inflation surge end in a soft landing — disinflation without a major recession — while the Volcker disinflation of 1979–1987 required substantial output losses? And was the timing and strength of the Federal Reserve&amp;rsquo;s reaction to the inflation surge decisive in achieving this outcome?&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Methodology and Model&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The paper develops and estimates a micro-founded Heterogeneous-Expectation New Keynesian (HENK) model in which agents hold idiosyncratic, dispersed beliefs about the long-run (steady-state) level of inflation. The key departure from full-information rational expectations (FIRE) is that information about the long-run value of inflation is dispersed and sticky: agents update their beliefs through pairwise social learning (SL), adopting the forecasting model of the agent whose belief produced lower recent inflation forecast errors. This tournament process — inspired by genetic algorithms — generates a time-varying cross-sectional distribution of subjective inflation beliefs.&lt;/p&gt;</description></item></channel></rss>