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The interrelationship between media reports and the recession in Croatia

Author

Listed:
  • Čižmešija Mirjana

    (Faculty of Economics and Business, University of Zagreb, Zagreb, Croatia)

  • Sorić Petar

    (Faculty of Economics and Business, University of Zagreb, Zagreb, Croatia)

  • Lolić Ivana

    (Faculty of Economics and Business, University of Zagreb, Zagreb, Croatia)

Abstract

This paper builds upon the Economist’s R-word (recession) index by forming a Croatian version of a media news-based economic uncertainty measure. Using the web archives of the four major Croatian news portals (Index.hr, Jutarnji list, Večernji list and 24 sata), an extensive database of as much as 531107 news articles is formed. The R-word index is obtained by calculating the monthly share of recession-related articles. This way Croatia is placed among the few rare world countries which have their own version of this index. It is found that the index is a leading indicator of economic activity in Croatia, preceding GDP growth rates by two months. Using rolling window correlations, the authors also prove that economic agents react to uncertainty shocks in the most intensive manner precisely at the onset of an economic crisis, while the correlation decreases in periods of more stable economic growth rates.

Suggested Citation

  • Čižmešija Mirjana & Sorić Petar & Lolić Ivana, 2017. "The interrelationship between media reports and the recession in Croatia," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 3(1), pages 16-34, June.
    • Handle: RePEc:vrs:crebss:v:3:y:2017:i:1:p:16-34:n:2
    DOI: 10.1515/crebss-2017-0002
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    References listed on IDEAS

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    1. Jan Grossarth-Maticek & Johannes Mayr, 2008. "Media reports as an economic activity indicator," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(07), pages 17-29, April.
    2. Giuseppe Bertola & Luigi Guiso & Luigi Pistaferri, 2005. "Uncertainty and Consumer Durables Adjustment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 973-1007.
    3. Jesus Fernandez-Villaverde & Pablo Guerron-Quintana & Juan F. Rubio-Ramirez & Martin Uribe, 2011. "Risk Matters: The Real Effects of Volatility Shocks," American Economic Review, American Economic Association, vol. 101(6), pages 2530-2561, October.
    4. Juncal Cuñado & Fernando P�rez de Gracia, 2012. "Does Media Consumption Make Us Happy? Evidence for Spain," Journal of Media Economics, Taylor & Francis Journals, vol. 25(1), pages 8-34, February.
    5. Michael Funke & Harm Bandholz, 2003. "In search of leading indicators of economic activity in Germany," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(4), pages 277-297.
    6. David Iselin & Boriss Siliverstovs, 2013. "The R-word index for Switzerland," Applied Economics Letters, Taylor & Francis Journals, vol. 20(11), pages 1032-1035, July.
    7. Matthew Rabin & Richard H. Thaler, 2013. "Anomalies: Risk aversion," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 27, pages 467-480, World Scientific Publishing Co. Pte. Ltd..
    8. Christopher D. Carroll, 1992. "The Buffer-Stock Theory of Saving: Some Macroeconomic Evidence," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 23(2), pages 61-156.
    9. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    10. Eberly, Janice C, 1994. "Adjustment of Consumers' Durables Stocks: Evidence from Automobile Purchases," Journal of Political Economy, University of Chicago Press, vol. 102(3), pages 403-436, June.
    11. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, September.
    12. Ranyard, Rob & Missier, Fabio Del & Bonini, Nicolao & Duxbury, Darren & Summers, Barbara, 2008. "Perceptions and expectations of price changes and inflation: A review and conceptual framework," Journal of Economic Psychology, Elsevier, vol. 29(4), pages 378-400, August.
    13. C. Alan Garner, 1991. "Forecasting consumer spending: should economists pay attention to consumer confidence surveys?," Economic Review, Federal Reserve Bank of Kansas City, vol. 76(May), pages 57-71.
    14. Christopher D Carroll, 2001. "The Epidemiology of Macroeconomic Expectations," Economics Working Paper Archive 462, The Johns Hopkins University,Department of Economics.
    15. G. Goldrian & J.D. Lindbauer & G. Nerb & B. Ulrich, 2001. "Evaluation and development of confidence indicators based on harmonised business and consumer surveys (Study contracted to IFO, Munich)," European Economy - Economic Papers 2008 - 2015 151, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
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    More about this item

    Keywords

    Business and Consumer Surveys; economic uncertainty; leading indicator; R-word index; recession;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • E03 - Macroeconomics and Monetary Economics - - General - - - Behavioral Macroeconomics

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