IDEAS home Printed from https://ideas.repec.org/a/zna/indecs/v17y2019i2-bp345-354.html
   My bibliography  Save this article

Identifying the Interdependence between Consumer Confidence and Macroeconomic Developments in Croatia

Author

Listed:
  • Marina Matosec

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

  • Zdenka Obuljen Zoricic

    (University of Dubrovnik - Department of Economics and Business Economics, Dubrovnik, Croatia)

Abstract

This article represents an empirical attempt to discern the interrelationship between consumer confidence and macroeconomic trends in Croatia. Previous studies that employ both subjective and objective variables show that consumer confidence, consumption and gross domestic product in other countries are interdependent to a great extent. Apart from the mentioned variables, our study additionally includes savings, as another important determinant in the households' economic decision making. The results indicate that consumer confidence Granger-causes all selected macroeconomic variables and vice versa. Not surprisingly, there are also many significant interrelations between the macroeconomic variables. These findings confirm the predictive ability of consumer confidence in Croatia and suggest that combining subjective and objective indicators has an important role in understanding households' economic behaviour.

Suggested Citation

  • Marina Matosec & Zdenka Obuljen Zoricic, 2019. "Identifying the Interdependence between Consumer Confidence and Macroeconomic Developments in Croatia," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(2-B), pages 345-354.
  • Handle: RePEc:zna:indecs:v:17:y:2019:i:2-b:p:345-354
    as

    Download full text from publisher

    File URL: http://indecs.eu/2019/indecs2019-pp345-354.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gianni Betti & Neil Dourmashkin & Mariacristina Rossi & Ya Ping Yin, 2007. "Consumer over-indebtedness in the EU: measurement and characteristics," Journal of Economic Studies, Emerald Group Publishing, vol. 34(2), pages 136-156, May.
    2. 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.
    3. Ashoka Mody & Franziska Ohnsorge & Damiano Sandri, 2012. "Precautionary Savings in the Great Recession," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 60(1), pages 114-138, April.
    4. Ali Al‐Eyd & Ray Barrell & E. Philip Davis, 2009. "Consumer Confidence Indices And Short‐Term Forecasting Of Consumption," Manchester School, University of Manchester, vol. 77(1), pages 96-111, January.
    5. Carroll, Christopher D & Fuhrer, Jeffrey C & Wilcox, David W, 1994. "Does Consumer Sentiment Forecast Household Spending? If So, Why?," American Economic Review, American Economic Association, vol. 84(5), pages 1397-1408, December.
    6. Jang, Tae-Seok & Sacht, Stephen, 2017. "Modeling consumer confidence and its role for expectation formation: A horse race," Economics Working Papers 2017-04, Christian-Albrechts-University of Kiel, Department of Economics.
    7. Roberto Bande & Dolores Riveiro, 2013. "Private Saving Rates and Macroeconomic Uncertainty: Evidence from Spanish Regional Data," The Economic and Social Review, Economic and Social Studies, vol. 44(3), pages 323-349.
    8. Mr. Martin Sommer & Mr. Christopher Carroll & Mr. Jiri Slacalek, 2012. "Dissecting Saving Dynamics: Measuring Wealth, Precautionary, and Credit Effects," IMF Working Papers 2012/219, International Monetary Fund.
    9. James A Wilcox, 2007. "Forecasting Components of Consumption with Components of Consumer Sentiment," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 42(4), pages 22-32, October.
    10. Nofsinger, John R., 2012. "Household behavior and boom/bust cycles," Journal of Financial Stability, Elsevier, vol. 8(3), pages 161-173.
    11. Frank M. Fossen & Davud Rostam-Afschar, 2013. "Precautionary and Entrepreneurial Savings: New Evidence from German Households," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(4), pages 528-555, August.
    12. Chamon, Marcos & Liu, Kai & Prasad, Eswar, 2013. "Income uncertainty and household savings in China," Journal of Development Economics, Elsevier, vol. 105(C), pages 164-177.
    13. Sydney C. Ludvigson, 2004. "Consumer Confidence and Consumer Spending," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 29-50, Spring.
    14. Csongor Hajdu, 2017. "Is Discrepancy between Confidence and Spending Driven by Pessimism or by High Aspriations? – Review of the Discrepancy between the Admitted Financial Situation and Actual Spending in Hungary," Society and Economy, Akadémiai Kiadó, Hungary, vol. 39(2), pages 233-250, June.
    15. 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.
    16. Marco Malgarini & Patrizia Margani, 2007. "Psychology, consumer sentiment and household expenditures," Applied Economics, Taylor & Francis Journals, vol. 39(13), pages 1719-1729.
    17. Souleles, Nicholas S, 2004. "Expectations, Heterogeneous Forecast Errors, and Consumption: Micro Evidence from the Michigan Consumer Sentiment Surveys," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(1), pages 39-72, February.
    18. Mauro Mastrogiacomo & Rob Alessie, 2014. "The precautionary savings motive and household savings," Oxford Economic Papers, Oxford University Press, vol. 66(1), pages 164-187, January.
    19. Karl Taylor & Robert McNabb, 2007. "Business Cycles and the Role of Confidence: Evidence for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(2), pages 185-208, April.
    20. Evren Ceritoğlu, 2013. "The impact of labour income risk on household saving decisions in Turkey," Review of Economics of the Household, Springer, vol. 11(1), pages 109-129, March.
    21. Sarah Brown & Karl Taylor, 2006. "Financial expectations, consumption and saving: a microeconomic analysis," Fiscal Studies, Institute for Fiscal Studies, vol. 27(3), pages 313-338, August.
    22. Kajal Lahiri & George Monokroussos & Yongchen Zhao, 2016. "Forecasting Consumption: the Role of Consumer Confidence in Real Time with many Predictors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1254-1275, November.
    23. repec:cii:cepiei:2013-q2-134-1 is not listed on IDEAS
    24. Giancarlo Bruno, 2014. "Consumer confidence and consumption forecast: a non-parametric approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 37-52, February.
    25. Marek Kośny & Maria Piotrowska, 2013. "Economic security of households and their savings and credits," NBP Working Papers 146, Narodowy Bank Polski, Economic Research Department.
    26. E. Philip Howrey, 2001. "The Predictive Power of the Index of Consumer Sentiment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 175-216.
    27. Marija Kuzmanovic & Peter Sanfey, 2013. "Can Consumer Confidence Data Predict Real Variables? Evidence from Croatia," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 15(1), pages 5-24, April.
    28. Petar Sorić, 2018. "Consumer confidence as a GDP determinant in New EU Member States: a view from a time-varying perspective," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(2), pages 261-282, May.
    29. John A. Cotsomitis & Andy C. C. Kwan, 2006. "Can Consumer Confidence Forecast Household Spending? Evidence from the European COmmission Business and Consumer Surveys," Southern Economic Journal, John Wiley & Sons, vol. 72(3), pages 597-610, January.
    30. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aneta Maria Kłopocka, 2017. "Does Consumer Confidence Forecast Household Saving and Borrowing Behavior? Evidence for Poland," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 693-717, September.
    2. Aneta M. Klopocka & Rumiana Gorska, 2021. "Forecasting Household Saving Rate with Consumer Confidence Indicator and its Components: Panel Data Analysis of 14 European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 874-898.
    3. Stephen Bruestle & W. Mark Crain, 2015. "A mean-variance approach to forecasting with the consumer confidence index," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2430-2444, May.
    4. Sudeshna Ghosh, 2021. "Consumer Confidence and Consumer Spending in Brazil: A Nonlinear Autoregressive Distributed Lag Model Analysis," Arthaniti: Journal of Economic Theory and Practice, , vol. 20(1), pages 53-85, June.
    5. Baghestani, Hamid, 2021. "Predicting growth in US durables spending using consumer durables-buying attitudes," Journal of Business Research, Elsevier, vol. 131(C), pages 327-336.
    6. Abosedra, Salah & Laopodis, Nikiforos T. & Fakih, Ali, 2021. "Dynamics and asymmetries between consumer sentiment and consumption in pre- and during-COVID-19 time: Evidence from the US," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    7. Willem Vanlaer & Samantha Bielen & Wim Marneffe, 2020. "Consumer Confidence and Household Saving Behaviors: A Cross-Country Empirical Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 677-721, January.
    8. Mohd Haniff, NorAzza & Masih, Mansur, 2016. "Does consumer sentiment predict consumer spending in Malaysia? an autoregressive distributed lag (ARDL) approach," MPRA Paper 69769, University Library of Munich, Germany.
    9. Hassan Gholipour Fereidouni & Reza Tajaddini, 2017. "Housing Wealth, Financial Wealth and Consumption Expenditure: The Role of Consumer Confidence," The Journal of Real Estate Finance and Economics, Springer, vol. 54(2), pages 216-236, February.
    10. Hamid Baghestani & Sehar Fatima, 2021. "Growth in US Durables Spending: Assessing the Impact of Consumer Ability and Willingness to Buy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 55-69, April.
    11. Acuña, Guillermo, 2017. "Evaluación de la capacidad predictiva del índice de percepción del consumidor [Assessing the predictive power of the consumer perception index]," MPRA Paper 83154, University Library of Munich, Germany.
    12. Aneta Maria Kłopocka & Tomasz Kopczyński & Grażyna Lenicka-Bajer, 2014. "Financial Situation And Attitudes Towards Saving In Polish Society:Evidence From Micro Data," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 0, pages 476-486, May.
    13. Dudek, Sławomir, 2008. "Consumer Survey Data and short-term forecasting of households consumption expenditures in Poland," MPRA Paper 19818, University Library of Munich, Germany.
    14. Erik Kole & Liesbeth Noordegraaf-Eelens & Bas Vringer, 2019. "Cognitive Biases and Consumer Sentiment," Tinbergen Institute Discussion Papers 19-031/I, Tinbergen Institute.
    15. Thomas Lux & Jaba Ghonghadze, 2011. "Modeling the Dynamics of EU Economic Sentiment Indicators: An Interaction-Based Approach," Post-Print hal-00711445, HAL.
    16. Lux, Thomas, 2008. "Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey," Kiel Working Papers 1424, Kiel Institute for the World Economy (IfW Kiel).
    17. Christian Gayer & Alessandro Girardi & Andreas Reuter, 2016. "Replacing Judgment by Statistics: Constructing Consumer Confidence Indicators on the basis of Data-driven Techniques. The Case of the Euro Area," Working Papers LuissLab 16125, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    18. Lux, Thomas, 2009. "Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey," Journal of Economic Behavior & Organization, Elsevier, vol. 72(2), pages 638-655, November.
    19. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 1-14, January.
    20. Antonello D Agostino & Caterina Mendicino & Caterina Mendicino, 2015. "Can consumer confidence provide independent information on consumption spending?," Working Papers 2, European Stability Mechanism.

    More about this item

    Keywords

    consumer confidence; consumption; savings; GDP; Granger causality;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E71 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zna:indecs:v:17:y:2019:i:2-b:p:345-354. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Josip Stepanic (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.