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https://hdl.handle.net/2445/169508
Title: | Spectral analysis of business and consumer survey data |
Author: | Clavería González, Óscar Monte Moreno, Enric Torra Porras, Salvador |
Keywords: | Enquestes Consum (Economia) Teoria espectral (Matemàtica) Surveys Consumption (Economics) Spectral theory (Mathematics) |
Issue Date: | 2020 |
Publisher: | Universitat de Barcelona. Facultat d'Economia i Empresa |
Series/Report no: | [WP E-IR20/06] [WP E-AQR20/02] |
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 (...) |
Note: | Reproducció del document publicat a: http://www.ub.edu/irea/working_papers/2020/202006.pdf |
It is part of: | IREA – Working Papers, 2020, IR20/06 AQR – Working Papers, 2020, AQR20/02 |
URI: | https://hdl.handle.net/2445/169508 |
Appears in Collections: | AQR (Grup d’Anàlisi Quantitativa Regional) – Working Papers Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA)) |
Files in This Item:
File | Description | Size | Format | |
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IR20-006_Claveria+Monte+Torra.pdf | 6.97 MB | Adobe PDF | View/Open |
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