# name
Spectral analysis of business and consumer survey data

# metadata.dc.description.abstract[].value
The main objective of this study is two-fold. First, we aim to detect the underlying existing periodicities in business and consumer survey data. With this objective, we conduct a spectral analysis of all survey indicators. Second, we aim to provide researchers with a filter especially designed for business and consumer survey data that circumvents the a priori assumptions of other filtering methods. To this end, we design a low-pass filter that allows extracting the components with periodicities similar to those that can be found in the dynamics of economic activity (...)

# metadata.dc.publisher[].value
Universitat de Barcelona. Facultat d'Economia i Empresa

# metadata.dc.rights[].value
cc-by-nc-nd, (c) Clavería González, 2020

# metadata.dc.source[].value
Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))

# metadata.dc.title[].value
Spectral analysis of business and consumer survey data