Redefining the Croatian Economic Sentiment Indicator

Based on Business and Consumer Survey (BCS) data, the European Commission (EC) regularly publishes the monthly Economic Sentiment Indicator (ESI) for each EU member state. ESI is conceptualized as a leading indicator, aimed ad tracking the overall economic activity. In calculating ESI, the EC employs arbitrarily chosen weights on 15 BCS response balances. This paper raises the predictive quality of ESI by applying nonlinear programming to find such weights that maximize the correlation coefficient of ESI and year-on-year GDP growth. The obtained results show that the highest weights are assigned to the response balances of industrial sector questions, followed by questions from the retail trade sector. This comes as no surprise since the existing literature shows that the industrial production is a plausible proxy for the overall Croatian economic activity and since Croatian GDP is largely influenced by the aggregate personal consumption.

Authors:

• I. Lolic
• P. Soric
• M. Cizmesija

Keywords:

• Business and Consumer Survey
• Economic Sentiment Indicator
• Leading Indicator
• Nonlinear Optimization with Constraints.

References:

[1] Abeysinghe, T., Lee, C., “Best linear unbiased disaggregation of annual
GDP to quarterly figures: the case of Malaysia”, Journal of Forecasting,
17(7), 1998, pp. 527-537.
[2] Abeysinghe, T., Rajaguru, G., “Quarterly real GDP estimates for China
and ASEAN4 with a forecast evaluation”, Journal of Forecasting, 23(6),
2004, pp. 431-447.
[3] Bagzibagli, K., “Monetary transmission mechanism and time variation
in the euro area”, Empirical Economics, 47(3), 2014, pp. 781-823.
[4] Cerovac, S., “Novi kompozitni indikatori za hrvatsko gospodarstvo:
prilog razvoju sustava cikličkih indikatora”, Istraživanja I-16, Croatian
National Bank, 2005.
[5] Chow, G.C., Lin, A.I., “Best Linear Unbiased Interpolation, Distribution
and Extrapolation of Time Series by Related Series”, Review of
Economics and Statistics, 53(4), 1971, pp. 372-375.
[6] Čižmešija, M. & Sorić, P., “Assessing Croatian GDP Components via
Economic Sentiment Indicator”, Ekonomska istraživanja, 23(4), 2010,
pp. 1-10.
[7] European Commission, “The Joint Harmonised EU Programme of
Business and Consumer Surveys – User Guide”, 2014,
http://ec.europa.eu/economy_finance/db_indicators/surveys/documents/
bcs_user_guide_en.pdf, Accessed: 12 February, 2015.
[8] Gayer, C., “Forecast Evaluation of European Commission Survey
Indicators”, Journal of Business Cycle Measurement and Analysis, 2,
2005, pp. 157-183.
[9] Gelper, S. and Croux, C., “On the construction of the European
Economic Sentiment Indicator”, Oxford Bulletin of Economics and
Statistics, 72(1), 2010, pp. 47-62.
[10] OECD, Business Tendency Surveys - A Handbook, 2003,
http://www.oecd.org/std/leading-indicators/31837055.pdf, Accessed: 12
February, 2015.
[11] Silgoner, M.A., “An Overview of European Economic Indicators”,
Proceedings of the 28th CIRET Conference, Rome, September 2006.
[12] Sorić, P., Marković, M., “Predicting Downturn: Are Tendency Surveys
A Good Estimator of Retail Activity in Croatia”, Ekonomski Pregled,
61(9-10), 2010, pp. 559-575.
[13] Sorić, P., Škrabić, B. & Čižmešija, M., “European Integration in the
Light of Business and Consumer Surveys”, Eastern European
Economics, 51(2), 2013, pp. 5-21.
[14] Tica, J., “The Macroeconomic Aspects of the Croatian Housing
Market”, Ekonomski Pregled, 55 (7-8), 2004, pp. 641-659.
[15] Van Aarle, B. & Kappler, M., “Economic sentiment shocks and
fluctuations in economic activity in the euro area and the USA”,
Intereconomics 47(1), 2012, pp. 44-51.