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Author: Regina Kaiser Publisher: ISBN: Category : Business cycles Languages : en Pages : 136
Book Description
Analyzes in detail some of the major limitations of the standard procedure to estimate business cycles with the Hodrick-Prescott (HP) filter.
Author: Regina Kaiser Publisher: ISBN: Category : Business cycles Languages : en Pages : 136
Book Description
Analyzes in detail some of the major limitations of the standard procedure to estimate business cycles with the Hodrick-Prescott (HP) filter.
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.
Author: Victor Zarnowitz Publisher: ISBN: Category : Business cycles Languages : en Pages : 58
Book Description
Is the long-term trend of the economy -- growth -- substantially influenced by the short-term movements -- business cycles -- and, if so, how? Are business cycles subject to major secular changes? Are these fluctuations the natural way growth takes in private enterprise economies or are they mainly due to some outside shocks that could be avoided or reduced? Should their analysis be based on trend-unadjusted or on trend-adjusted time series data? These are major questions that have received considerable attention in economic literature, but they are difficult and still debated. I cannot hope to resolve any of them in this paper, of course, but I shall attempt to contribute to the discussion of some aspects of how business cycles and growth are related. [Resumen de autor]
Author: Barend Abeln Publisher: Springer Nature ISBN: 3031228456 Category : Business & Economics Languages : en Pages : 94
Book 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.
Author: Haim Y. Bleikh Publisher: CRC Press ISBN: 1317010175 Category : Business & Economics Languages : en Pages : 148
Book Description
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.
Author: Regina Kaiser
Author: Regina Kaiser
Author: Regina Kaiser
Author: Regina Kaiser
Author: Regina Kaiser
Author: Regina Kaiser
Author: Estela Bee Dagum
Author: Victor Zarnowitz
Author: Barend Abeln
Author: Haim Y. Bleikh
Author: Eric J. Bartelsman