Téléchargez le livre : Seasonal Adjustment Without Revisions

Seasonal Adjustment Without Revisions

A Real-Time Approach de

,

Éditeur :

Springer


Collection :

SpringerBriefs in Economics

Paru le : 2023-02-13

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Description

Seasonality in economic time series can "obscure" movements of other components in a series that are operationally more important for economic and econometric analyses. In practice, one often prefers to work with seasonally adjusted data to assess the current state of the economy and its future course.
This book presents a seasonal adjustment program called CAMPLET, an acronym of its tuning parameters, which consists of a simple adaptive procedure to extract the seasonal and the non-seasonal component from an observed series. Once this process is carried out, there will be no need to revise these components at a later stage when new observations become available.
The authors describe the main features of CAMPLET, evaluate the outcomes of CAMPLET and X-13ARIMA-SEATS in a controlled simulation framework using a variety of data generating processes, and illustrate CAMPLET and X-13ARIMA-SEATS with three time series: US non-farm payroll employment, operational income of Ahold and real GDP in the Netherlands. Furthermore they show how CAMPLET performs under the COVID-19 crisis, and its attractiveness in dealing with daily data.
This book appeals to scholars and students of econometrics and statistics, interested in the application of statistical methods for empirical economic modeling.
Pages
86 pages
Collection
SpringerBriefs in Economics
Parution
2023-02-13
Marque
Springer
EAN papier
9783031228445
EAN PDF
9783031228452
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
2755 Ko
Prix
52,74 €
EAN EPUB
9783031228452
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
13967 Ko
Prix
52,74 €

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