Objectives: The Consumer Confidence Index (CCI) has been constructed in order to measure consumer attitudes. Its construction takes into account not only the assessment of the current financial and economic situation in the country and the current level of savings, but also the expectations of consumers with regard to the above-mentioned areas of life and the management of financial resources. The objectives of the article are (1) to test and select the components contributing to the consumer confidence index by proposing a new approach to its calculation and (2) to test the links between consumer sentiment and the level of financial instruments held by European households.
Material and methods: The modelling was carried out using data on the components of the Consumer Confidence Index (CCI) for the countries of the European Union and data on the financial situation of households. The data were taken from the Eurostat database. The analysis period covers the period 2015-2022, depending on data availability.
Results: The results presented in this study indicate a statistically significant relationship between the subjective assessment of household finances and the actual financial situation of households. The analysis carried out made it possible to select the components that make up the consumer confidence index and to propose a new approach to its calculation.
The study of the impact of the individual components of the CCI therefore constitutes a very important area of research crucial for modelling economic phenomena.
Conclusions: Based on the available literature, we can conclude that the issue of household financial well-being is a complex, multidimensional phenomenon. Relying solely on objective monetary factors does not allow us to identify the main determinants of household financial behaviour.
Białowolski, P. (2014). Consumer confidence. Durable goods purchase and unemployment forecast. Econometrics. Ekonometria. Advances in Applied Data Analytics. (3), p. 42–55.
Boersch-Supan, A.H. , Essig, L. (2005) Household saving in Germany: Results of the first SAVE study. W: D.A. Wise (red.) Analyses in the Economics of Aging. Series: The Economics of Aging. Chicago: University of Chicago Press, p. 317-356.
Boneva, L., Linton, O. (2017). A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance. Journal of Applied Econometrics, 32 (7), p. 1226-1243.
Brown, S. , Taylor, K. (2008). Household debt and financial assets: evidence from Germany, Great Britain and the USA. Journal of the Royal Statistical Society: Series A (Statistics in Society), 171(3), p. 615-643.
Bruestle, S., Crain, W. M. (2015). A mean-variance approach to forecasting with the Consumer Confidence Index. Applied Economics, 47(23), p. 2430-2444. https://doi.org/10.1080/000368....
Cárdenas-Hurtado, C. A., Hernández-Montes, M. A. (2019). Understanding the Consumer Confidence Index in Colombia: A structural FAVAR analysis. Borradores de Economía, p.1-27.
Caroll, C. (2000). Why do the Rich Save so Much? W: J.B. Slemrod (red.) Does Atlas Shrug? The Economic Consequences of Taxing the Rich. Cambridge: Harvard University Press, p. 465 – 484.
Casey, G. P., Owen, A. L. (2013). Good News, Bad News, and Consumer Confidence. Social Science Quarterly, 94(1), p. 292-315. https://doi.org/10.1111/j.1540....
Cotsomitis, J. A., Kwan, A. C. (2006). Can consumer confidence forecast household spending? Evidence from the European Commission business and consumer surveys. Southern Economic Journal. 72(3), p. 597–610.
Dees, S., Soares Brinca, P. (2013). Consumer confidence as a predictor of consumption spending: Evidence for the United States and the Euro area. International Economics, 134, p. 1-14. https://doi.org/10.1016/j.inte....
Evci, S. (2019). Ekonomik güven endeksi ile yatırım araçları arasındaki nedensellik ilişkisi: Toda-Yamamoto Yaklaşımı. İşletme Araştırmaları Dergisi, 11(4), p. 2893-2901.
Fan, J., Hu, J., Kong, L., Zhang, X. (2017). Relationship between energy production and water resource utilization: A panel data analysis of 31 provinces in China. Journal of Cleaner Production. 167, p. 88–96. https://doi.org/10.1016/j.jcle....
Feng, G., Peng, B., Su, L.,Tao Yang, T. (2019). Semi-parametric single-index panel data models with interactive fixed effects: Theory and practice. Journal of Econometrics. 212(2), p. 607–622. https://doi.org/10.1016/j.jeco....
Floro, D., Van Roye, B. (2017). Threshold effects of financial stress on monetary policy rules: A panel data analysis. International Review of Economics & Finance, 51, p. 599-620.
Gausden, R., Hasan, M. S. (2018). An assessment of the contribution of consumer confidence towards household spending decisions using UK data. Applied Economics, 50(12), 1395-1411.
Ghosh, S. (2020). Consumer Confidence and Consumer Spending in Brazil: A Nonlinear Autoregressive Distributed Lag Model Analysis. Arthaniti: Journal of Economic Theory and Practice, 20(1), p. 53-85. https://doi.org/10.1177/097674....
Grzywińska-Rąpca, M. (2021a). Economic welfare and subjective assessments of financial situation of European households. European Research Studies Journal, Volume XXIV, Issue 2, p. 948-968, DOI:10.35808/ersj/2166.
Grzywińska-Rąpca, M. (2021b). Finanse gospodarstw domowych w świetle subiektywnych ocen sytuacji materialnej. Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie, 2021. Olsztyn, p. 210.
Grzywińska-Rąpca, M., Ptak-Chmielewska, A. (2023). Backward assessments or expectations: what determines the Consumer Confidence Index more strongly? Panel model based on the CCI of European countries. Wiadomości Statystyczne. The Polish Statistician. 2023. 68(2), p. 1–15 DOI: 10.5604/01.3001.0016.0000.
Grzywińska-Rąpca, M. (2019). Regional differentiation of households in the context of a subjective assessment of the level of income. Nierówności społeczne a wzrost gospodarczy. 60(4), p. 227–241. DOI:10.15584/nsawg.2019.4.15.
Grzywińska-Rąpca, M., Markowski, L. (2023). Analysing the financial landscape of European households: Insights from panel data. Journal of International Studies, 16(3), p. 34 – 55. DOI: 10.14254/2071 – 8330.2023/16-3/2.
Hochguertel, S., Alessie, R., Van Soest, A. (1997). Saving accounts versus stocks and bonds in household portfolio allocation. Scandinavian Journal of Economics, 99(1), p. 81-97.
Hu, J., Liu, F., You, J. (2014). Panel data partially linear model with fixed effects, spatial autoregressive error components and unspecified intertemporal correlation. Journal of Multivariate Analysis. 130, p. 64–89. https://doi.org/10.1016/j.jmva....
Islam, T. U., Mumtaz, M. N. (2016). Consumer Confidence Index and Economic Growth: An Empirical Analysis of EU Countries. Euro Economica. 35(2), p. 17–21.
Juhro, S. M., Iyke, B. N. (2020). Consumer confidence and consumption expenditure in Indonesia. Economic Modelling, 89, p. 367-377. https://doi.org/10.1016/j.econ....
Kulpaka, P. (2013). Oszczędności, konsumpcja i dochody rozporządzalne gospodarstw domowych w wybranych krajach rozwiniętych i po tranformacji ustrojowej. Warszawa: Oficyna Wydawnicza Szkoły Głównej Handlowej, p.329.
Kuzmanovic, M., Sanfey, P. (2013). Can consumer confidence data predict real variables? Evidence from Croatia. Croatian Economic Survey, 15(1), p. 5-24. https://hrcak.srce.hr/index.ph....
Lemmon, M., Portniaguina, E. (2006). Consumer confidence and asset prices: Some empirical evidence. The Review of Financial Studies. 19(4), p. 1499-1529.
Lolić, I., Logarušić, M., Čižmešija, M. (2022). Recent Revision of the European Consumer Confidence Indicator: Is There any additional Space for Improvement?. Social indicators research, 159(3), 845-863.
Malovaná, S., Hodula, M., Frait, J. (2021). What Does Really Drive Consumer Confidence? Social Indicators Research, 155, p. 885–913. https://doi.org/10.1007/s11205....
Oduh, M. O., Ekeocha, M. O., Chukwuemeka, P. (2012). The Impact of Consumer Confidence and Expectation on Consumption in Nigeria : Evidence from Panel Data. European Journal of Business and Management, 1905(9), p. 86-101. http://www.researchgate.net/pu....
Panek, T., Zwierzchowski, J. (2013). Statystyczne metody wielowymiarowej analizy porównawczej. Teoria i zastosowania. Oficyna wydawnicza SGH. Warszawa. p. 409.
Paradiso, A., Kumar, S., Margani, P. (2014). Are Italian consumer confidence adjustments asymmetric? A macroeconomic and psychological motives approach. Journal of Economic Psychology, 43, p. 48-63. https://doi.org/10.1016/j.joep....
Raaij, W. F. van. (2012). Consumer Confidence and Trust in the Economy. Economic Psychology in Modern World: Collected Papers. Moscow: Ekon-Inform, 377-395.
Ramalho, E. A., Caleiro, A., Dionfsio, A. (2011). Explaining consumer confidence in Portugal. Journal of Economic Psychology, 32(1), p. 25-32. https://doi.org/10.1016/j.joep....
Shayaa, S., Ainin, S., Jaafar, N. I., Zakaria, S. B., Phoong, S. W., Yeong, W. C., Al-Garadi M.A., Muhammad A., Piprani, Z. (2018). Linking Consumer Confidence Index and social media sentiment analysis. Cogent Business and Management, 5(1), p. 1-12. https://doi.org/10.1080/233119....
Tjandrasa, B. B., Dewi, V. I. (2022). Determinants of Consumer Confidence Index to Predict the Economy in Indonesia. Australasian Accounting, Business and Finance Journal, 16(4), p. 3-13.
Utaka, A. (2014). Consumer Confidence and the Japanese Economy-Comparison of Pre-and Post-Bubble Period. Economics Bulletin, 32(2), p. 1165-1173. Retrieved from https://repository.kulib.kyoto... .
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