Media reporting and business cycles: empirical evidence based on news data
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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in: Empirical Economics, Jahrgang 59, Nr. 3, 01.09.2020, S. 1085-1105.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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RIS
TY - JOUR
T1 - Media reporting and business cycles
T2 - empirical evidence based on news data
AU - Lamla, Michael J.
AU - Lein, Sarah M.
AU - Sturm, Jan Egbert
PY - 2020/9/1
Y1 - 2020/9/1
N2 - 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.
AB - 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.
KW - Economics
KW - Media reporting
KW - News-driven business cycles
KW - Sectoral information complementarities
UR - http://www.scopus.com/inward/record.url?scp=85066091304&partnerID=8YFLogxK
U2 - 10.1007/s00181-019-01713-5
DO - 10.1007/s00181-019-01713-5
M3 - Journal articles
AN - SCOPUS:85066091304
VL - 59
SP - 1085
EP - 1105
JO - Empirical Economics
JF - Empirical Economics
SN - 0377-7332
IS - 3
ER -