Joint Seasonal Adjustment Of Economic Time Series
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Joint Seasonal Adjustment Of Economic Time Series
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Author : Eric J. Bartelsman
language : en
Publisher:
Release Date : 1993
Joint Seasonal Adjustment Of Economic Time Series written by Eric J. Bartelsman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Seasonal adjustment categories.
Economic Time Series
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Author : William R. Bell
language : en
Publisher: CRC Press
Release Date : 2018-11-14
Economic Time Series written by William R. Bell and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-14 with Mathematics categories.
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
On The Seasonal Adjustment Of Economic Time Series Aggregates
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Author : Estela Bee Dagum
language : en
Publisher:
Release Date : 1979
On The Seasonal Adjustment Of Economic Time Series Aggregates written by Estela Bee Dagum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Government publications categories.
Time Series Analysis And Adjustment
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Author : Haim Y. Bleikh
language : en
Publisher: CRC Press
Release Date : 2016-02-24
Time Series Analysis And Adjustment written by Haim Y. Bleikh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-24 with Business & Economics categories.
In Time Series Analysis and Adjustment the authors explain how the last four decades have brought dramatic changes in the way researchers analyze economic and financial data on behalf of economic and financial institutions and provide statistics to whomsoever requires them. Such analysis has long involved what is known as econometrics, but time series analysis is a different approach driven more by data than economic theory and focused on modelling. An understanding of time series and the application and understanding of related time series adjustment procedures is essential in areas such as risk management, business cycle analysis, and forecasting. Dealing with economic data involves grappling with things like varying numbers of working and trading days in different months and movable national holidays. Special attention has to be given to such things. However, the main problem in time series analysis is randomness. In real-life, data patterns are usually unclear, and the challenge is to uncover hidden patterns in the data and then to generate accurate forecasts. The case studies in this book demonstrate that time series adjustment methods can be efficaciously applied and utilized, for both analysis and forecasting, but they must be used in the context of reasoned statistical and economic judgment. The authors believe this is the first published study to really deal with this issue of context.
Seasonal Analysis Of Economic Time Series
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Author : Arnold Zellner
language : en
Publisher:
Release Date : 1978
Seasonal Analysis Of Economic Time Series written by Arnold Zellner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Business & Economics categories.
Seasonal Adjustment Methods And Real Time Trend Cycle Estimation
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Author : Estela Bee Dagum
language : en
Publisher: Springer
Release Date : 2016-06-20
Seasonal Adjustment Methods And Real Time Trend Cycle Estimation written by Estela Bee Dagum and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-20 with Business & Economics categories.
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.
The Econometric Analysis Of Seasonal Time Series
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Author : Eric Ghysels
language : en
Publisher: Cambridge University Press
Release Date : 2001-06-18
The Econometric Analysis Of Seasonal Time Series written by Eric Ghysels and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-18 with Business & Economics categories.
Eric Ghysels and Denise R. Osborn provide a thorough and timely review of the recent developments in the econometric analysis of seasonal economic time series, summarizing a decade of theoretical advances in the area. The authors discuss the asymptotic distribution theory for linear nonstationary seasonal stochastic processes. They also cover the latest contributions to the theory and practice of seasonal adjustment, together with its implications for estimation and hypothesis testing. Moreover, a comprehensive analysis of periodic models is provided, including stationary and nonstationary cases. The book concludes with a discussion of some nonlinear seasonal and periodic models. The treatment is designed for an audience of researchers and advanced graduate students.
Seasonal Adjustment Without Revisions
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Author : Barend Abeln
language : en
Publisher: Springer Nature
Release Date : 2023-02-13
Seasonal Adjustment Without Revisions written by Barend Abeln and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-13 with Business & Economics categories.
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.
Moving Seasonal Adjustment Of Economic Time Series
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Author : J.P. Burman
language : en
Publisher:
Release Date : 1966
Moving Seasonal Adjustment Of Economic Time Series written by J.P. Burman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with categories.
Seasonal Adjustment When Both Deterministic And Stochastic Seasonality Are Present
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Author : David A. Pierce
language : en
Publisher:
Release Date : 1976
Seasonal Adjustment When Both Deterministic And Stochastic Seasonality Are Present written by David A. Pierce and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Seasonal variations (Economics) categories.