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)
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.
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