Business tendency surveys are a popular tool for the timely assessment of the business cycle, used by economists and by the public. This article considers survey results in the manufacturing sector in more detail and looks into the question of, whether the analysis of branch results leads to an information gain. The business cycle turning points are identified in the filtered series and average leads to the turning point of industrial production are calculated. In addition to these leads the ratios of the signal variances to the noise variances are calculated to assess the clarity of the signal contained in the indicator series. Apart from assessing the general business cycle course the survey results in manufacturing are often used to forecast moment-to-moment changes of industrial production. Analyses based on wavelets show that the survey balances are useful to forecast the larger scale movements only. Nevertheless, the comparison of out-of-sample forecast errors show that the inclusion of survey results as independent variables in an autoregressive model improves the forecasts.
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Paper provided by Ifo Institute for Economic Research at the University of Munich in its series Ifo Working Paper Series with number
Ifo Working Paper No. 31.
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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