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Confidence Indicators (confidence + indicator)
Selected AbstractsTentative business confidence indicators for the Italian economyJOURNAL OF FORECASTING, Issue 8 2003Paolo Carnazza Abstract This paper concerns the cyclical evolution of the Italian economy and, in particular, the role of confidence indicators. In the first part of the paper various confidence indicators, computed according to the European Commission (EC) methodology, are investigated. In particular, the analysis concentrates on the dynamics of some business climate indicators referred to the supply side of the economy (i.e. manufacturing, retail and construction industries). In the second part of the analysis, new confidence indicators exploring the wide informative set characterizing the ISAE business surveys are computed. The ability of these indicators in predicting the short-term evolution of GDP, here considered as a reference series, is compared with that of the previous EC confidence indicators. Finally, in the third part, some estimates of the relationship between the chosen business confidence indicator and some driving variables are presented. Copyright © 2003 John Wiley & Sons, Ltd. [source] Business Cycles and the Role of Confidence: Evidence for Europe,OXFORD BULLETIN OF ECONOMICS & STATISTICS, Issue 2 2007Karl Taylor Abstract This paper examines whether indicators of consumer and business confidence can predict movements in GDP over the business cycle for four European economies. The empirical methodology used to investigate the properties of the data comprises cross-correlation statistics, implementing an approach developed by den Haan [Journal of Monetary Economics (2000), Vol. 46, pp. 3,30]. The predictive power of confidence indicators is also examined, investigating whether they can predict discrete events, namely economic downturns, and whether they can quantitatively forecast point estimates of economic activity. The results indicate that both consumer and business confidence indicators are procyclical and generally play a significant role in predicting downturns. [source] |