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The predictive content of business survey indicators: evidence from SIGE

Tatiana Cesaroni and Stefano Iezzi

No 1031, Temi di discussione (Economic working papers) from Bank of Italy, Economic Research and International Relations Area

Abstract: Business survey indicators represent an important tool in economic analysis and forecasting practices. While there is wide consensus on the coincident properties of such data, there is mixed evidence on their ability to predict macroeconomic developments in the short term. In this study we extend the previous research on the predictive content of business surveys by examining the leading properties of the main business survey indicators of the Italian Survey on Inflation and Growth Expectations (SIGE). To this end, we provide a complete characterization of the business cycle properties of survey data (volatility, stationarity, turning points etc.) and we compare them with the national accounts reference series. We further analyse the ability of SIGE indicators to detect turning points using both discrete and continuous dynamic single equation models as compared with their benchmark (B)ARIMA models. Overall, the results indicate that SIGE business indicators are able to make detect early the turning points of their corresponding national account reference series. These findings are very important from a policy-making point of view.

Keywords: Business cycle; business survey data; turning points; cyclical analysis; forecast accuracy; macroeconomic forecasts (search for similar items in EconPapers)
JEL-codes: C32 E32 (search for similar items in EconPapers)
Date: 2015-09
New Economics Papers: this item is included in nep-for and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Journal Article: The Predictive Content of Business Survey Indicators: Evidence from SIGE (2017) Downloads
Working Paper: The Predictive Content of Business Survey Indicators: evidence from SIGE (2015) Downloads
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