Spectral analysis of business and consumer survey data

Publication date

2020-07-25T08:00:38Z

2020-07-25T08:00:38Z

2020

Abstract

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 (...)

Document Type

Working document

Language

English

Publisher

Universitat de Barcelona. Facultat d'Economia i Empresa

Related items

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]

Recommended citation

This citation was generated automatically.

Rights

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

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