Business cycle narratives
This article quantifies the epidemiology of media narratives relevant to business cycles in the US, Japan, and Europe (euro area). We do so by first constructing daily business cycle indexes computed on the basis of the news topics the media writes about. At a broad level, the most influential news...
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description | This article quantifies the epidemiology of media narratives relevant to business cycles in the US, Japan, and Europe (euro area). We do so by first constructing daily business cycle indexes computed on the basis of the news topics the media writes about. At a broad level, the most influential news narratives are shown to be associated with general macroeconomic developments, finance, and (geo-)politics. However, a large set of narratives contributes to our index estimates across time, especially in times of expansion. In times of trouble, narratives associated with economic fluctuations become more sparse. Likewise, we show that narratives do go viral, but mostly so when growth is low. While narratives interact in complicated ways, we document that some are clearly associated with economic fundamentals. Other narratives, on the other hand, show no such relationship, and are likely better explained by classical work capturing the market’s animal spirits. |
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We do so by first constructing daily business cycle indexes computed on the basis of the news topics the media writes about. At a broad level, the most influential news narratives are shown to be associated with general macroeconomic developments, finance, and (geo-)politics. However, a large set of narratives contributes to our index estimates across time, especially in times of expansion. In times of trouble, narratives associated with economic fluctuations become more sparse. Likewise, we show that narratives do go viral, but mostly so when growth is low. While narratives interact in complicated ways, we document that some are clearly associated with economic fundamentals. Other narratives, on the other hand, show no such relationship, and are likely better explained by classical work capturing the market’s animal spirits.</description><language>eng</language><publisher>BI Norwegian Business School, Centre for Applied Macro- and Petroleum Economics</publisher><subject>Business cycles ; dynamic factor model (DFM) ; latent dirichlet allocation (LDA) ; narratives</subject><ispartof>CAMP Working Paper Series, 2018</ispartof><rights>info:eu-repo/semantics/openAccess</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,26546</link.rule.ids><linktorsrc>$$Uhttp://hdl.handle.net/11250/2492713$$EView_record_in_NORA$$FView_record_in_$$GNORA$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Larsen, Vegard H</creatorcontrib><creatorcontrib>Thorsrud, Leif Anders</creatorcontrib><title>Business cycle narratives</title><title>CAMP Working Paper Series</title><description>This article quantifies the epidemiology of media narratives relevant to business cycles in the US, Japan, and Europe (euro area). We do so by first constructing daily business cycle indexes computed on the basis of the news topics the media writes about. At a broad level, the most influential news narratives are shown to be associated with general macroeconomic developments, finance, and (geo-)politics. However, a large set of narratives contributes to our index estimates across time, especially in times of expansion. In times of trouble, narratives associated with economic fluctuations become more sparse. Likewise, we show that narratives do go viral, but mostly so when growth is low. While narratives interact in complicated ways, we document that some are clearly associated with economic fundamentals. Other narratives, on the other hand, show no such relationship, and are likely better explained by classical work capturing the market’s animal spirits.</description><subject>Business cycles</subject><subject>dynamic factor model (DFM)</subject><subject>latent dirichlet allocation (LDA)</subject><subject>narratives</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>3HK</sourceid><recordid>eNrjZJB0Ki3OzEstLlZIrkzOSVXISywqSizJLEst5mFgTUvMKU7lhdLcDIpuriHOHrrJRZnFJZl58Xn5RYnxhoZGpgbxRiaWRuaGxsbEqAEAKq8ifw</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Larsen, Vegard H</creator><creator>Thorsrud, Leif Anders</creator><general>BI Norwegian Business School, Centre for Applied Macro- and Petroleum Economics</general><scope>3HK</scope></search><sort><creationdate>2018</creationdate><title>Business cycle narratives</title><author>Larsen, Vegard H ; Thorsrud, Leif Anders</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-cristin_nora_11250_24927133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Business cycles</topic><topic>dynamic factor model (DFM)</topic><topic>latent dirichlet allocation (LDA)</topic><topic>narratives</topic><toplevel>online_resources</toplevel><creatorcontrib>Larsen, Vegard H</creatorcontrib><creatorcontrib>Thorsrud, Leif Anders</creatorcontrib><collection>NORA - Norwegian Open Research Archives</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Larsen, Vegard H</au><au>Thorsrud, Leif Anders</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Business cycle narratives</atitle><jtitle>CAMP Working Paper Series</jtitle><date>2018</date><risdate>2018</risdate><abstract>This article quantifies the epidemiology of media narratives relevant to business cycles in the US, Japan, and Europe (euro area). We do so by first constructing daily business cycle indexes computed on the basis of the news topics the media writes about. At a broad level, the most influential news narratives are shown to be associated with general macroeconomic developments, finance, and (geo-)politics. However, a large set of narratives contributes to our index estimates across time, especially in times of expansion. In times of trouble, narratives associated with economic fluctuations become more sparse. Likewise, we show that narratives do go viral, but mostly so when growth is low. While narratives interact in complicated ways, we document that some are clearly associated with economic fundamentals. Other narratives, on the other hand, show no such relationship, and are likely better explained by classical work capturing the market’s animal spirits.</abstract><pub>BI Norwegian Business School, Centre for Applied Macro- and Petroleum Economics</pub><oa>free_for_read</oa></addata></record> |
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subjects | Business cycles dynamic factor model (DFM) latent dirichlet allocation (LDA) narratives |
title | Business cycle narratives |
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