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Saved by the news? COVID-19 in German news and its relationship with regional mobility behaviour

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  • Burcu Ozgun
  • Tom Broekel

Abstract

There are substantial differences across regions regarding COVID-19 infections and deaths, which are partly explained by differences in practicing social distancing. In this paper we argue that the portrayal of COVID-19 in regional media might be an important factor in explaining regional differences in social distancing. By using mobility as a proxy, and analysing data on regional news coverage in Germany, we investigate empirically whether the geographical heterogeneity in COVID-19-related news reporting has translated into spatial variations in social distancing. Our results confirm that the frequency of and the element of fear in COVID-19 news have a significant, albeit time-varying, relationship with social distancing.

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  • Burcu Ozgun & Tom Broekel, 2024. "Saved by the news? COVID-19 in German news and its relationship with regional mobility behaviour," Regional Studies, Taylor & Francis Journals, vol. 58(2), pages 365-380, February.
  • Handle: RePEc:taf:regstd:v:58:y:2024:i:2:p:365-380
    DOI: 10.1080/00343404.2022.2145012
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    1. Edward L. Glaeser & Caitlin S. Gorback & Stephen J. Redding, 2020. "How Much Does COVID-19 Increase with Mobility? Evidence from New York and Four Other U.S. Cities," Working Papers 2020-22, Princeton University. Economics Department..
    2. Florian Eckert & Heiner Mikosch, 2020. "Mobility and sales activity during the Corona crisis: daily indicators for Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-10, December.
    3. Bwambale, Andrew & Choudhury, Charisma F. & Hess, Stephane, 2019. "Modelling trip generation using mobile phone data: A latent demographics approach," Journal of Transport Geography, Elsevier, vol. 76(C), pages 276-286.
    4. Dhaval Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Joseph J. Sabia, 2021. "When Do Shelter‐In‐Place Orders Fight Covid‐19 Best? Policy Heterogeneity Across States And Adoption Time," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 29-52, January.
    5. John M. Barrios & Yael Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," NBER Working Papers 27008, National Bureau of Economic Research, Inc.
    6. Joseph Benitez & Charles Courtemanche & Aaron Yelowitz, 2020. "Racial and Ethnic Disparities in COVID-19: Evidence from Six Large Cities," Journal of Economics, Race, and Policy, Springer, vol. 3(4), pages 243-261, December.
    7. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    8. Ozgun, Burcu & Broekel, Tom, 2021. "The geography of innovation and technology news - An empirical study of the German news media," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    9. Leonardo Bursztyn & Davide Cantoni, 2016. "Tear in the Iron Curtain: The Impact of Western Television on Consumption Behavior," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 25-41, March.
    10. Hubert Jayet & Julie Le Gallo & Luc Anselin, 2008. "Spatial Econometrics and Panel Data Models," Post-Print hal-02389412, HAL.
    11. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    12. Egorov, Georgy & Enikolopov, Ruben & Makarin, Alexey & Petrova, Maria, 2021. "Divided we stay home: Social distancing and ethnic diversity," Journal of Public Economics, Elsevier, vol. 194(C).
    13. Andrey Simonov & Szymon Sacher & Jean-Pierre Dube & Shirsho Biswas, 2020. "The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the COVID-19 Pandemic," Working Papers 2020-67, Becker Friedman Institute for Research In Economics.
    14. Bursztyn, Leonardo & Rao, Akaash & Roth, Christopher & Yanagizawa-Drott, David, 2020. "Misinformation during a Pandemic," The Warwick Economics Research Paper Series (TWERPS) 1274, University of Warwick, Department of Economics.
    15. Andersson, Ola & Campos-Mercade, Pol & Meier, Armando N. & Wengström, Erik, 2021. "Anticipation of COVID-19 vaccines reduces willingness to socially distance," Journal of Health Economics, Elsevier, vol. 80(C).
    16. Lesley Chiou & Catherine Tucker, 2020. "Social Distancing, Internet Access and Inequality," NBER Working Papers 26982, National Bureau of Economic Research, Inc.
    17. Ehlert, Andree, 2021. "The socio-economic determinants of COVID-19: A spatial analysis of German county level data," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    18. Pierre Nouvellet & Sangeeta Bhatia & Anne Cori & Kylie E. C. Ainslie & Marc Baguelin & Samir Bhatt & Adhiratha Boonyasiri & Nicholas F. Brazeau & Lorenzo Cattarino & Laura V. Cooper & Helen Coupland &, 2021. "Reduction in mobility and COVID-19 transmission," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    19. Liu, Ning & Chen, Zhuo & Bao, Guoxian, 2021. "Role of media coverage in mitigating COVID-19 transmission: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    20. Hunt Allcott & Levi Boxell & Jacob C. Conway & Billy A. Ferguson & Matthew Gentzkow & Benjamin Goldman, 2020. "What Explains Temporal and Geographic Variation in the Early US Coronavirus Pandemic?," NBER Working Papers 27965, National Bureau of Economic Research, Inc.
    21. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    22. Hollanders, David & Vliegenthart, Rens, 2011. "The influence of negative newspaper coverage on consumer confidence: The Dutch case," Journal of Economic Psychology, Elsevier, vol. 32(3), pages 367-373, June.
    23. Ash, Elliott & Galletta, Sergio & Hangartner, Dominik & Margalit, Yotam & Pinna, Matteo, 2020. "The Effect of Fox News on Health Behavior During COVID-19," SocArXiv abqe5, Center for Open Science.
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    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • D10 - Microeconomics - - Household Behavior - - - General
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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