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The Causality Relationships between Economic Confidence and Fundamental Macroeconomic Indicators: Empirical Evidence from Selected European Union Countries

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  • Selim Koray Demirel

    (Department of Economics, Faculty of Economics and Administrative Sciences, Karadeniz Technical University, 61080 Trabzon, Turkey)

  • Seyfettin Artan

    (Department of Economics, Faculty of Economics and Administrative Sciences, Karadeniz Technical University, 61080 Trabzon, Turkey.)

Abstract

Economic confidence is an important tool in predicting macroeconomic changes. In this study, causality relationships between the confidence level and the fundamental macroeconomic indicators are analyzed using panel data analysis for 13 European Union countries for the period 2000: 1-2014: 12. According to the obtained results, a bidirectional causality relationship between the level of confidence and consumption expenditures, industrial production and inflation; a unidirectional relationship from the level of confidence to the unemployment rate; and a unidirectional relationship from interest rates to the level of confidence were detected. These results are compatible with the view that economic confidence is a leading indicator in explaining the changes in macroeconomic indicators.

Suggested Citation

  • Selim Koray Demirel & Seyfettin Artan, 2017. "The Causality Relationships between Economic Confidence and Fundamental Macroeconomic Indicators: Empirical Evidence from Selected European Union Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 417-424.
    • Handle: RePEc:eco:journ1:2017-05-50
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    1. Stephane Dees & Pedro Soares Brinca, 2013. "Consumer confidence as a predictor of consumption spending: Evidence for the United States and the Euro area," International Economics, CEPII research center, issue 134, pages 1-14.
    2. Matsusaka, John G & Sbordone, Argia M, 1995. "Consumer Confidence and Economic Fluctuations," Economic Inquiry, Western Economic Association International, vol. 33(2), pages 296-318, April.
    3. Teresa Santero & Niels Westerlund, 1996. "Confidence Indicators and Their Relationship to Changes in Economic Activity," OECD Economics Department Working Papers 170, OECD Publishing.
    4. Sydney C. Ludvigson, 2004. "Consumer Confidence and Consumer Spending," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 29-50, Spring.
    5. Qiao, Zhuo & McAleer, Michael & Wong, Wing-Keung, 2009. "Linear and nonlinear causality between changes in consumption and consumer attitudes," Economics Letters, Elsevier, vol. 102(3), pages 161-164, March.
    6. Stephen Knack & Philip Keefer, 1997. "Does Social Capital Have an Economic Payoff? A Cross-Country Investigation," The Quarterly Journal of Economics, Oxford University Press, vol. 112(4), pages 1251-1288.
    7. Sarah Gelper & Aurelie Lemmens & Christophe Croux, 2007. "Consumer sentiment and consumer spending: decomposing the Granger causal relationship in the time domain," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 1-11.
    8. 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.
    9. Atsuo Utaka, 2003. "Confidence and the real economy - the Japanese case," Applied Economics, Taylor & Francis Journals, vol. 35(3), pages 337-342.
    10. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    11. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    12. Gintis, Herbert, 2000. "Beyond Homo economicus: evidence from experimental economics," Ecological Economics, Elsevier, vol. 35(3), pages 311-322, December.
    13. Francesco Bogliacino & Cristiano Codagnone & Giuseppe A. Veltri, 2016. "An introduction to the special issue on “the behavioural turn in public policy: new evidence from experiments”," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(3), pages 323-332, December.
    14. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    15. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    16. Jeffrey C. Fuhrer, 1993. "What role does consumer sentiment play in the U.S. macroeconomy?," New England Economic Review, Federal Reserve Bank of Boston, issue Jan, pages 32-44.
    17. Gelper, S. & Lemmens, A. & Croux, C., 2007. "Consumer sentiment and consumer spending : Decomposing the granger causal relationship in the time domain," Other publications TiSEM 55ac7230-2985-41f1-a42c-7, Tilburg University, School of Economics and Management.
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    Cited by:

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    2. António Bento Caleiro, 2021. "Learning to Classify the Consumer Confidence Indicator (in Portugal)," Economies, MDPI, vol. 9(3), pages 1-12, September.
    3. Inna Bielova & Jaroslav Halík & Lyudmila Ryabushka, 2021. "The Causal Nexus of Consumer and Business Confidence Indexes in Early Pandemic Period: Evidence from OECD Countries," JRFM, MDPI, vol. 14(7), pages 1-14, July.

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    More about this item

    Keywords

    Economic Confidence; Panel Causality Analysis; European Union; Macroeconomic Variables JEL Classifications : C33; E20; O52 /> // Provide a local fallback if the CDN cannot be reached if (typeof google == 'undefined') { document.write(unescape(%3Cscript src='https://www.econjournals.com/lib/pkp/js/lib/jquery/jquery.min.js' type='text/javascript'%3E%3C/script%3E)); document.write(unescape(%3Cscript src='https://www.econjournals.com/lib/pkp/js/lib/jquery/plugins/jqueryUi.min.js' type='text/javascript'%3E%3C/script%3E)); } else { google.load(jquery; 1.4.4); google.load(jqueryui; 1.8.6); } International Journal of Economics and Financial Issues Open Journal Systems Journal Help User Username Password Remember me Notifications View Subscribe Journal Content Search Search Scope All Authors Title Abstract Index terms Full Text Browse By Issue By Author By Title Other Journals Font Size Information For Readers For Authors For Librarians Home About Login Register Search Current Archives Announcements EDITORIAL BOARD SUBMISSIONS INDEXING/ABSTRACTING CONTACT Home > Vol 7; No 5 (2017) > Demirel The Causality Relationships between Economic Confidence and Fundamental Macroeconomic Indicators: Empirical Evidence from Selected European Union Countries Selim Koray Demirel; Seyfettin Artan Abstract Economic confidence is an important tool in predicting macroeconomic changes. In this study; causality relationships between the confidence level and the fundamental macroeconomic indicators are analyzed using panel data analysis for 13 European Union countries for the period 2000: 1-2014: 12. According to the obtained results; a bidirectional causality relationship between the level of confidence and consumption expenditures; industrial production and inflation; a unidirectional relationship from the level of confidence to the unemployment rate; and a unidirectional relationship from interest rates to the level of confidence were detected. These results are compatible with the view that economic confidence is a leading indicator in explaining the changes in macroeconomic indicators.;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

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