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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/174100
Forecasting with business and consumer survey data
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In a context of growing uncertainty caused by the COVID-19 pandemic, the opinion of businesses and consumers about the expected development of the main variables that affect their activity becomes essential for economic forecasting. In this paper, we review the research carried out in this field, placing special emphasis on the recent lines of work focused on the exploitation of the predictive content of economic tendency surveys. The study concludes with an evaluation of the forecasting performance of quarterly unemployment expectations for the euro area, which are obtained by means of machine learning methods. The analysis reveals the potential of new analytical techniques for the analysis of business and consumer surveys for economic forecasting.
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CLAVERÍA GONZÁLEZ, Óscar. Forecasting with business and consumer survey data. Journal of Forecasting. 2021. Vol. 3, num. 1, pags. 113-134. ISSN 0277-6693. [consulted: 11 of August of 2026]. Available at: https://hdl.handle.net/2445/174100