Spectral analysis of business and consumer survey data

Fecha de publicación

2020-07-25T08:00:38Z

2020-07-25T08:00:38Z

2020

Resumen

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 (...)

Tipo de documento

Documento de trabajo

Lengua

Inglés

Publicado por

Universitat de Barcelona. Facultat d'Economia i Empresa

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Reproducció del document publicat a: http://www.ub.edu/irea/working_papers/2020/202006.pdf

IREA – Working Papers, 2020, IR20/06

AQR – Working Papers, 2020, AQR20/02

[WP E-IR20/06]

[WP E-AQR20/02]

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Derechos

cc-by-nc-nd, (c) Clavería González, 2020

http://creativecommons.org/licenses/by-nc-nd/3.0/es/