Loading…
Media reporting and business cycles: empirical evidence based on news data
Recent literature suggests that news shocks could be an important driver of economic cycles. In this article, we use a direct measure of news sentiment derived from media reports. This allows us to examine whether innovations in the reporting tone correlate with changes in the assessment and expecta...
Saved in:
Published in: | Empirical economics 2020-09, Vol.59 (3), p.1085-1105 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c384t-c72c8dc2b634338db08995f8a32b43a6ab574eb3ff75fc6ebd9a3f8b72663c343 |
---|---|
cites | cdi_FETCH-LOGICAL-c384t-c72c8dc2b634338db08995f8a32b43a6ab574eb3ff75fc6ebd9a3f8b72663c343 |
container_end_page | 1105 |
container_issue | 3 |
container_start_page | 1085 |
container_title | Empirical economics |
container_volume | 59 |
creator | Lamla, Michael J. Lein, Sarah M. Sturm, Jan-Egbert |
description | Recent literature suggests that news shocks could be an important driver of economic cycles. In this article, we use a direct measure of news sentiment derived from media reports. This allows us to examine whether innovations in the reporting tone correlate with changes in the assessment and expectations of the business situation as reported by firms in the German manufacturing sector. We find that innovations in news reporting affect business expectations, even when conditioning on the current business situation and industrial production. The dynamics of the empirical model confirm theoretical predictions that news innovations affect real variables such as production via changes in expectations. Looking at individual sectors within manufacturing, we find that macroeconomic news is at least as important for business expectations as sector-specific news. This is consistent with the existence of information complementarities across sectors. |
doi_str_mv | 10.1007/s00181-019-01713-5 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2226909139</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2226909139</sourcerecordid><originalsourceid>FETCH-LOGICAL-c384t-c72c8dc2b634338db08995f8a32b43a6ab574eb3ff75fc6ebd9a3f8b72663c343</originalsourceid><addsrcrecordid>eNp9kEtLxDAUhYMoOI7-AVcB19Ukt20SdzL4ZMSNrkMet0OHmbQmHWX-vdUK7lxczuZ858JHyDlnl5wxeZUZ44oXjOvxJIeiOiAzXkJVKC34IZkxkLKQAOKYnOS8ZoyBqsoZeXrG0FqasO_S0MYVtTFQt8ttxJyp3_sN5muK275Nrbcbih9twOiROpsx0C7SiJ-ZBjvYU3LU2E3Gs9-ck7e729fFQ7F8uX9c3CwLD6ocCi-FV8ELV0MJoIJjSuuqURaEK8HW1lWyRAdNI6vG1-iCttAoJ0Vdgx-ZObmYdvvUve8wD2bd7VIcXxohRK2Z5qDHlphaPnU5J2xMn9qtTXvDmfl2ZiZnZnRmfpyZaoRggvJYjitMf9P_UF_qUG7I</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2226909139</pqid></control><display><type>article</type><title>Media reporting and business cycles: empirical evidence based on news data</title><source>EconLit s plnými texty</source><source>International Bibliography of the Social Sciences (IBSS)</source><source>ABI/INFORM Global</source><source>Springer Nature</source><source>Business Source Ultimate (EBSCOHost)</source><creator>Lamla, Michael J. ; Lein, Sarah M. ; Sturm, Jan-Egbert</creator><creatorcontrib>Lamla, Michael J. ; Lein, Sarah M. ; Sturm, Jan-Egbert</creatorcontrib><description>Recent literature suggests that news shocks could be an important driver of economic cycles. In this article, we use a direct measure of news sentiment derived from media reports. This allows us to examine whether innovations in the reporting tone correlate with changes in the assessment and expectations of the business situation as reported by firms in the German manufacturing sector. We find that innovations in news reporting affect business expectations, even when conditioning on the current business situation and industrial production. The dynamics of the empirical model confirm theoretical predictions that news innovations affect real variables such as production via changes in expectations. Looking at individual sectors within manufacturing, we find that macroeconomic news is at least as important for business expectations as sector-specific news. This is consistent with the existence of information complementarities across sectors.</description><identifier>ISSN: 0377-7332</identifier><identifier>EISSN: 1435-8921</identifier><identifier>DOI: 10.1007/s00181-019-01713-5</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Business cycles ; Conditioning ; Econometrics ; Economic models ; Economic theory ; Economic Theory/Quantitative Economics/Mathematical Methods ; Economics ; Economics and Finance ; Finance ; Industrial production ; Innovations ; Insurance ; Management ; Manufacturing ; News ; Statistics for Business</subject><ispartof>Empirical economics, 2020-09, Vol.59 (3), p.1085-1105</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-c72c8dc2b634338db08995f8a32b43a6ab574eb3ff75fc6ebd9a3f8b72663c343</citedby><cites>FETCH-LOGICAL-c384t-c72c8dc2b634338db08995f8a32b43a6ab574eb3ff75fc6ebd9a3f8b72663c343</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2226909139/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2226909139?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,11668,12827,27903,27904,33202,36039,44342,74642</link.rule.ids></links><search><creatorcontrib>Lamla, Michael J.</creatorcontrib><creatorcontrib>Lein, Sarah M.</creatorcontrib><creatorcontrib>Sturm, Jan-Egbert</creatorcontrib><title>Media reporting and business cycles: empirical evidence based on news data</title><title>Empirical economics</title><addtitle>Empir Econ</addtitle><description>Recent literature suggests that news shocks could be an important driver of economic cycles. In this article, we use a direct measure of news sentiment derived from media reports. This allows us to examine whether innovations in the reporting tone correlate with changes in the assessment and expectations of the business situation as reported by firms in the German manufacturing sector. We find that innovations in news reporting affect business expectations, even when conditioning on the current business situation and industrial production. The dynamics of the empirical model confirm theoretical predictions that news innovations affect real variables such as production via changes in expectations. Looking at individual sectors within manufacturing, we find that macroeconomic news is at least as important for business expectations as sector-specific news. This is consistent with the existence of information complementarities across sectors.</description><subject>Business cycles</subject><subject>Conditioning</subject><subject>Econometrics</subject><subject>Economic models</subject><subject>Economic theory</subject><subject>Economic Theory/Quantitative Economics/Mathematical Methods</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Finance</subject><subject>Industrial production</subject><subject>Innovations</subject><subject>Insurance</subject><subject>Management</subject><subject>Manufacturing</subject><subject>News</subject><subject>Statistics for Business</subject><issn>0377-7332</issn><issn>1435-8921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><sourceid>M0C</sourceid><recordid>eNp9kEtLxDAUhYMoOI7-AVcB19Ukt20SdzL4ZMSNrkMet0OHmbQmHWX-vdUK7lxczuZ858JHyDlnl5wxeZUZ44oXjOvxJIeiOiAzXkJVKC34IZkxkLKQAOKYnOS8ZoyBqsoZeXrG0FqasO_S0MYVtTFQt8ttxJyp3_sN5muK275Nrbcbih9twOiROpsx0C7SiJ-ZBjvYU3LU2E3Gs9-ck7e729fFQ7F8uX9c3CwLD6ocCi-FV8ELV0MJoIJjSuuqURaEK8HW1lWyRAdNI6vG1-iCttAoJ0Vdgx-ZObmYdvvUve8wD2bd7VIcXxohRK2Z5qDHlphaPnU5J2xMn9qtTXvDmfl2ZiZnZnRmfpyZaoRggvJYjitMf9P_UF_qUG7I</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Lamla, Michael J.</creator><creator>Lein, Sarah M.</creator><creator>Sturm, Jan-Egbert</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>F~G</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20200901</creationdate><title>Media reporting and business cycles: empirical evidence based on news data</title><author>Lamla, Michael J. ; Lein, Sarah M. ; Sturm, Jan-Egbert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-c72c8dc2b634338db08995f8a32b43a6ab574eb3ff75fc6ebd9a3f8b72663c343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Business cycles</topic><topic>Conditioning</topic><topic>Econometrics</topic><topic>Economic models</topic><topic>Economic theory</topic><topic>Economic Theory/Quantitative Economics/Mathematical Methods</topic><topic>Economics</topic><topic>Economics and Finance</topic><topic>Finance</topic><topic>Industrial production</topic><topic>Innovations</topic><topic>Insurance</topic><topic>Management</topic><topic>Manufacturing</topic><topic>News</topic><topic>Statistics for Business</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lamla, Michael J.</creatorcontrib><creatorcontrib>Lein, Sarah M.</creatorcontrib><creatorcontrib>Sturm, Jan-Egbert</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Complete</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>ProQuest Pharma Collection</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>International Bibliography of the Social Sciences</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Empirical economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lamla, Michael J.</au><au>Lein, Sarah M.</au><au>Sturm, Jan-Egbert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Media reporting and business cycles: empirical evidence based on news data</atitle><jtitle>Empirical economics</jtitle><stitle>Empir Econ</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>59</volume><issue>3</issue><spage>1085</spage><epage>1105</epage><pages>1085-1105</pages><issn>0377-7332</issn><eissn>1435-8921</eissn><abstract>Recent literature suggests that news shocks could be an important driver of economic cycles. In this article, we use a direct measure of news sentiment derived from media reports. This allows us to examine whether innovations in the reporting tone correlate with changes in the assessment and expectations of the business situation as reported by firms in the German manufacturing sector. We find that innovations in news reporting affect business expectations, even when conditioning on the current business situation and industrial production. The dynamics of the empirical model confirm theoretical predictions that news innovations affect real variables such as production via changes in expectations. Looking at individual sectors within manufacturing, we find that macroeconomic news is at least as important for business expectations as sector-specific news. This is consistent with the existence of information complementarities across sectors.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00181-019-01713-5</doi><tpages>21</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0377-7332 |
ispartof | Empirical economics, 2020-09, Vol.59 (3), p.1085-1105 |
issn | 0377-7332 1435-8921 |
language | eng |
recordid | cdi_proquest_journals_2226909139 |
source | EconLit s plnými texty; International Bibliography of the Social Sciences (IBSS); ABI/INFORM Global; Springer Nature; Business Source Ultimate (EBSCOHost) |
subjects | Business cycles Conditioning Econometrics Economic models Economic theory Economic Theory/Quantitative Economics/Mathematical Methods Economics Economics and Finance Finance Industrial production Innovations Insurance Management Manufacturing News Statistics for Business |
title | Media reporting and business cycles: empirical evidence based on news data |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T19%3A42%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Media%20reporting%20and%20business%20cycles:%20empirical%20evidence%20based%20on%20news%20data&rft.jtitle=Empirical%20economics&rft.au=Lamla,%20Michael%20J.&rft.date=2020-09-01&rft.volume=59&rft.issue=3&rft.spage=1085&rft.epage=1105&rft.pages=1085-1105&rft.issn=0377-7332&rft.eissn=1435-8921&rft_id=info:doi/10.1007/s00181-019-01713-5&rft_dat=%3Cproquest_cross%3E2226909139%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c384t-c72c8dc2b634338db08995f8a32b43a6ab574eb3ff75fc6ebd9a3f8b72663c343%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2226909139&rft_id=info:pmid/&rfr_iscdi=true |