Review
"The authors have presented a coherent account of the current state of the econometric theory for analyzing seasonal time series processes." Mathematical Reviews
Book Description
Economic and financial time series feature important seasonal fluctuations. Despite their regular and predictable patterns over the year, month or week, they pose many challenges to economists and econometricians. This book provides a thorough review of the recent developments in the econometric analysis of seasonal time series. It is designed for an audience of specialists in economic time series analysis and advanced graduate students. It is the most comprehensive and balanced treatment of the subject since the mid-1980s.
Book Info
A thorough review of recent developments in the econometric analysis of seasonal economic time series. Covers the latest contributions to the theory and practice of seasonal adjustment, with implications for estimation and hypothesis testing. Hardcover, softcover also available. DLC: Econometrics.
Econometric Analysis of Seasonal Time Series FROM THE PUBLISHER
"In this book, 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 stationary and 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."--BOOK JACKET.