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Article

Forecasting with Business and Consumer Survey Data

Regional Quantitative Analysis Research Group, Institute of Applied Economics Research, University of Barcelona, 08034 Barcelona, Spain
Forecasting 2021, 3(1), 113-134; https://doi.org/10.3390/forecast3010008
Submission received: 14 January 2021 / Revised: 11 February 2021 / Accepted: 13 February 2021 / Published: 17 February 2021
(This article belongs to the Section Forecasting in Economics and Management)

Abstract

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.
Keywords: forecasting; business and consumer surveys; expectations forecasting; business and consumer surveys; expectations

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MDPI and ACS Style

Claveria, O. Forecasting with Business and Consumer Survey Data. Forecasting 2021, 3, 113-134. https://doi.org/10.3390/forecast3010008

AMA Style

Claveria O. Forecasting with Business and Consumer Survey Data. Forecasting. 2021; 3(1):113-134. https://doi.org/10.3390/forecast3010008

Chicago/Turabian Style

Claveria, Oscar. 2021. "Forecasting with Business and Consumer Survey Data" Forecasting 3, no. 1: 113-134. https://doi.org/10.3390/forecast3010008

APA Style

Claveria, O. (2021). Forecasting with Business and Consumer Survey Data. Forecasting, 3(1), 113-134. https://doi.org/10.3390/forecast3010008

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