Author: Estela Bee Dagum
Publisher: Springer
ISBN: 3319318225
Category : Business & Economics
Languages : en
Pages : 293
Book Description
This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling.
Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation
Author: Estela Bee Dagum
Publisher: Springer
ISBN: 3319318225
Category : Business & Economics
Languages : en
Pages : 293
Book Description
This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling.
Publisher: Springer
ISBN: 3319318225
Category : Business & Economics
Languages : en
Pages : 293
Book Description
This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling.
Seasonal Adjustment Procedures
Author: Paul J. Kozlowski
Publisher:
ISBN:
Category : Business cycles
Languages : en
Pages : 38
Book Description
Publisher:
ISBN:
Category : Business cycles
Languages : en
Pages : 38
Book Description
A Guide to Seasonal Adjustment of Labor Force Data
Author: John F. Stinson
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 20
Book Description
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 20
Book Description
On Model Based Seasonal Adjustment Procedures
Seasonal Adjustment with the X-11 Method
Author: Dominique Ladiray
Publisher: Springer Science & Business Media
ISBN: 1461301750
Category : Computers
Languages : en
Pages : 245
Book Description
The most widely used statistical method in seasonal adjustment is implemented in the X-11 Variant of the Census Method II Seasonal Adjustment Program. Developed by the US Bureau of the Census, it resulted in the X-11-ARIMA software and the X-12-ARIMA. While these integrate parametric methods, they remain close to the initial X-11 method, and it is this "core" that Seasonal Adjustment with the X-11 Method focuses on. It will be an important reference for government agencies, and other serious users of economic data.
Publisher: Springer Science & Business Media
ISBN: 1461301750
Category : Computers
Languages : en
Pages : 245
Book Description
The most widely used statistical method in seasonal adjustment is implemented in the X-11 Variant of the Census Method II Seasonal Adjustment Program. Developed by the US Bureau of the Census, it resulted in the X-11-ARIMA software and the X-12-ARIMA. While these integrate parametric methods, they remain close to the initial X-11 method, and it is this "core" that Seasonal Adjustment with the X-11 Method focuses on. It will be an important reference for government agencies, and other serious users of economic data.
Seasonal Adjustment Procedures and Price Statistics
Author: Bernd Schips
Publisher:
ISBN: 9783303052211
Category :
Languages : en
Pages : 77
Book Description
Publisher:
ISBN: 9783303052211
Category :
Languages : en
Pages : 77
Book Description
A Comparison and Assessment of Seasonal Adjustment Methods for Employment and Unemployment Statistics
Author: Estela Bee Dagum
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 134
Book Description
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 134
Book Description
Economic Time Series
Author: William R. Bell
Publisher: CRC Press
ISBN: 1439846588
Category : Mathematics
Languages : en
Pages : 544
Book Description
Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time s
Publisher: CRC Press
ISBN: 1439846588
Category : Mathematics
Languages : en
Pages : 544
Book Description
Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time s
Seasonal Adjustment Methods
Author:
Publisher: Statistical Office of European Communities
ISBN: 9789282850343
Category : Economics
Languages : en
Pages : 93
Book Description
Publisher: Statistical Office of European Communities
ISBN: 9789282850343
Category : Economics
Languages : en
Pages : 93
Book Description