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An insightful and up-to-date study of the use of periodic models in the description and forecasting of economic data. Incorporating recent developments in the field, the authors investigate such areas as seasonal time series; periodic time series models; periodic integration; and periodic cointegration. The analysis from the inclusion of many new empirical examples and results.Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.
This text investigates the application and theoretical framework of periodic time series models for the analysis and forecasting of economic data. Authors Philip H. Franses and Richard Paap leverage their expertise in econometrics to synthesize recent advancements in the field, providing a structured approach to understanding seasonal patterns and periodic integration. The book serves as a technical resource for researchers and students who require a deeper understanding of how periodic structures influence economic modeling and long-term forecasting accuracy.
What You Will Find
Experts recognize this volume as a specialized contribution to the Advanced Texts in Econometrics series, suitable for those with a strong background in quantitative methods. Readers frequently note the academic density of the prose, which provides a rigorous examination of complex econometric models beyond the scope of standard introductory textbooks.
Page Count:
168
Publication Date:
2004-06-03
Publisher:
Oxford University Press
ISBN-10:
019924202X
ISBN-13:
9780199242023
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