, Volume 45, Issue 2, pp 261–282 | Cite as

Consumer confidence as a GDP determinant in New EU Member States: a view from a time-varying perspective

  • Petar Sorić
Original Paper


This paper offers a pioneer attempt to unveil the time-varying impact of consumer confidence on GDP growth. The empirical analysis is based on a state space model with time-varying coefficients, which is employed on a dataset from 11 New EU Member States. It is shown that the impact of consumer confidence (reflecting the overall uncertainty level in the country) skyrockets in the 2008 Great Recession, providing evidence that the recent crisis was to some extent psychologically governed. After that, the influence of consumer confidence on GDP mostly stabilizes at earlier levels. The EU accession seems not to play an important role in the observed relationship. The obtained conclusions are quite robust across countries and remain intact upon the inclusion of additional control variables in the model. A possible solution for keeping the psychological determinants of the crisis under control is a prompt, coherent, and clearly communicated crisis management policy, which might help preventing a momentous drop of consumer confidence and overall uncertainty.


Consumer confidence Business and consumer surveys State space models Time-varying coefficients 

JEL Classification

C32 E03 E32 G01 



This work has been fully supported by the Croatian Science Foundation under the project No. 3858.


  1. Abeysinghe T, Lee C (1998) Best linear unbiased disaggregation of annual GDP to quarterly figures: the case of Malaysia. J Forecast 17:527–537CrossRefGoogle Scholar
  2. Abeysinghe T, Rajaguru G (2004) Quarterly real GDP estimates for China and ASEAN4 with a forecast evaluation. J Forecast 23:431–447CrossRefGoogle Scholar
  3. Baker SR, Bloom N, Davis SJ (2016) Measuring economic policy uncertainty. Q J Econ. doi: 10.3386/w21633 Google Scholar
  4. Batchelor R, Dua P (1998) Improving macro-economic forecasts: the role of consumer confidence. Int J Forecast 14:71–81CrossRefGoogle Scholar
  5. Bertola G, Guiso L, Pistaferri L (2005) Uncertainty and consumer durables adjustment. Rev Econ Stud 72:973–1007CrossRefGoogle Scholar
  6. Blanchard O, Amighini A, Giavazzi F (2010) Macroeconomics: a European perspective, 1st edn. Prentice Hall, Englewood CliffsGoogle Scholar
  7. Bollen J, Mao H, Zeng X (2011) Twitter mood predicts the stock market. J Comput Sci 2:1–8CrossRefGoogle Scholar
  8. Bry G, Boschan C (1971) Cyclical analysis of time series: selected procedures and computer programs. National Bureau of Economic Research, New YorkGoogle Scholar
  9. Carroll CD (1992) The buffer stock theory of saving: some macroeconomic evidence. Brook Pap Econ Act 2:61–155CrossRefGoogle Scholar
  10. Chow GC, Lin AI (1971) Best linear unbiased interpolation, distribution and extrapolation of time series by related series. Rev Econ Stat 53:372–375CrossRefGoogle Scholar
  11. Commandeur JJF, Koopman SJ (2007) An introduction to state space time series analysis. Oxford University Press, OxfordGoogle Scholar
  12. Cotsomitis JA, Kwan ACC (2006) Can consumer confidence forecast household spending? Evidence from the European commission business and consumer surveys. South Econ J 72:597–610CrossRefGoogle Scholar
  13. De Jong P (1991) The diffuse Kalman filter. Ann Stat 19:1073–1083CrossRefGoogle Scholar
  14. De Souza RM, Pires Maciel LF, Pizzinga A (2013) State space models for the exchange rate pass-through: determinants and null/full pass-through hypotheses. Appl Econ 45:5062–5075CrossRefGoogle Scholar
  15. Doornik JA, Hansen H (1994) An omnibus test of univariate and multivariate normality. Nuffield College, Oxford (Discussion paper)Google Scholar
  16. Durbin J, Koopman SJ (2012) Time series analysis by state space methods. Oxford University Press, OxfordCrossRefGoogle Scholar
  17. Eberly J (1994) Adjustment of consumers’ durables stocks: evidence from automobile purchases. J Polit Econ 102:403–436CrossRefGoogle Scholar
  18. European Commission (2014) The joint harmonised EU programme of business and consumer surveys. User guide updated 21/03/2014. BrusselsGoogle Scholar
  19. Fernández-Villaverde J, Guerrón-Quintana P, Rubio-Ramírez JF, Uribe M (2011) Risk matters: the real effects of volatility shocks. Am Econ Rev 101:2530–2561CrossRefGoogle Scholar
  20. Fountas S, Karanasos M, Kim J (2006) Inflation uncertainty, output growth uncertainty and macroeconomic performance. Oxford B Econ Stat 68:319–343CrossRefGoogle Scholar
  21. Garner AC (1991) Forecasting consumer spending: should economists pay attention to consumer confidence surveys? Federal Reserve Bank of Kansas City Economic Review May/June: 57–71Google Scholar
  22. Golinelli R, Parigi G (2004) Consumer sentiment and economic activity: a cross-country comparison. J Bus Cycle Meas Anal 10:147–170CrossRefGoogle Scholar
  23. Jos Jansen W, Nahuis NJ (2003) The stock market and consumer confidence: European evidence. Econ Lett 79:89–98CrossRefGoogle Scholar
  24. Keynes JM (1936) The general theory of employment, interest, and money. Hartcourt, Brace, New YorkGoogle Scholar
  25. Knight FH (1921) Risk, uncertainty, and profit. Hart, Schaffner & Marx, Houghton Mifflin Company, BostonGoogle Scholar
  26. Koopman SJ, Harvey AC, Doornik JA, Shephard N (1999) Structural time series analysis, modelling, and prediction using STAMP. Timberlake Consultants Press, LondonGoogle Scholar
  27. Mermod AY, Dudzeviciute G (2011) Frequency domain analysis of consumer confidence, industrial production and retail sales for selected European countries. J Bus Econ Manag 12:589–602CrossRefGoogle Scholar
  28. Peters BG (2011) Governance responses to the fiscal crisis: comparative perspectives. Pub Money Manag 31:75–80CrossRefGoogle Scholar
  29. Peters BG, Pierre J, Randma-Liiv T (2011) Global financial crisis, public administration and governance: do new problems require new solutions? Pub Organ Rev 11:13–27CrossRefGoogle Scholar
  30. Rabin M, Thaler RH (2001) Anomalies: risk aversion. J Econ Perspect 15:219–232CrossRefGoogle Scholar
  31. Soric P, Skrabic B, Cizmesija M (2013) European integration in the light of business and consumer surveys. East Eur Econ 51:5–20CrossRefGoogle Scholar
  32. Toda HY, Yamamoto T (1995) Statistical inferences in vector autoregressions with possibly integrated processes. J Econom 66:225–250CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of Statistics, Faculty of Economics and BusinessUniversity of ZagrebZagrebCroatia

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