Forecasting with Business and Consumer Survey Data

Título

Forecasting with Business and Consumer Survey Data

Autor

Oscar Claveria

Descripción

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.

Fecha

2021

Materia

Forecasting, Expectations, Business and Consumer Surveys

Identificador

10.3390/forecast3010008

Fuente

Epidemiology and Health

Editor

Korean Society of Epidemiology

Cobertura

Mathematics, Science (General)

Archivos

https://socictopen.socict.org/files/to_import/pdfs/20db4ddbfccec63d7261213392ab7646.pdf

Colección

Citación

Oscar Claveria, “Forecasting with Business and Consumer Survey Data,” SOCICT Open, consulta 18 de abril de 2026, https://socictopen.socict.org/items/show/4752.

Formatos de Salida

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