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The Nexus between Economic Sentiment Indicator and Gross Domestic Product; a Panel Cointegration Analysis

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  • Daniel Tomić Jurica Šimurina Luka Jovanov

    (Faculty of Economics and Tourism “Dr. Mijo Mirković”, Pula, Croatia. Faculty of Economics and Business, University of Zagreb, Zagreb, Croatia. Faculty of Economics and Tourism “Dr. Mijo Mirković”, Pula, Croatia.)

Abstract

Economic Sentiment Indicator (ESI) became the most popular composite indicator within the EU with the purpose of monitoring and/or forecasting business cycles in one country or for a region as a whole. Since it is calculated regularly, on a monthly base, and is based on five distinct confidence indicators, the main concern is whether the ESI can be explained and/or can explain the current, past or future values of relevant macroeconomic variables. This implies its relevance in predicting both short- and long-term economic outcomes of, for example, variation in income, unemployment fluctuations, consumption change, inflation modifications, sectoral alterations and etc. The question that arises often in academic, as well as within the EU decision-making circles is whether the ESI be used as an explanatory variable with valuable information for modelling the national output developments. Therefore, the aim of this paper is to reveal the true strength and significance in the ESI-GDP nexus for the EU. Empirical research is based on panel cointegration analysis that utilizes data on the ESI and GDP over the period 2000-2018 for the EU28 countries. The causal relationship between the variables appears to be consistent in the short- and long-run across the panel, suggesting that ESI movements do explain movements in national output, hence can help both private and public sector decision-makers to evaluate their goals and plan their actions. JEL Classification: C33, E24, F02

Suggested Citation

  • Daniel Tomić Jurica Šimurina Luka Jovanov, 2020. "The Nexus between Economic Sentiment Indicator and Gross Domestic Product; a Panel Cointegration Analysis," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 23(1), pages 121-140, May.
  • Handle: RePEc:zag:zirebs:v:23:y:2020:i:1:p:121-140
    DOI: 10.2478/zireb-2020-0008
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    1. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    2. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    3. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    4. Saikkonen, Pentti, 1992. "Estimation and Testing of Cointegrated Systems by an Autoregressive Approximation," Econometric Theory, Cambridge University Press, vol. 8(1), pages 1-27, March.
    5. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    6. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    7. Sarah Gelper & Christophe Croux, 2010. "On the Construction of the European Economic Sentiment Indicator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 47-62, February.
    8. Petar Sorić & Ivana Lolić & Mirjana Čižmešija, 2015. "European economic sentiment indicator: An empirical reappraisal," EFZG Working Papers Series 1505, Faculty of Economics and Business, University of Zagreb.
    9. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    10. Petar Sorić & Blanka Škrabić & Mirjana Čižmešija, 2013. "European Integration in the Light of Business and Consumer Surveys," Eastern European Economics, Taylor & Francis Journals, vol. 51(2), pages 5-20, March.
    11. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    12. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    13. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
    14. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    15. Nelson C. Mark & Donggyu Sul, 2003. "Cointegration Vector Estimation by Panel DOLS and Long‐run Money Demand," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 655-680, December.
    16. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    17. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    18. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    19. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
    20. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    21. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    More about this item

    Keywords

    Economic sentiment indicator; GDP; business cycles; panel cointegration analysis; European Union;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • F02 - International Economics - - General - - - International Economic Order and Integration

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