Articoli correlati a Periodic Time Series Models (Advanced Texts in Econometrics)

Periodic Time Series Models (Advanced Texts in Econometrics) - Brossura

Libro 18 di 26: Advanced Texts in Econometrics

Franses, Philip H.

 
9780199242030: Periodic Time Series Models (Advanced Texts in Econometrics)

Sinossi

This book considers periodic time series models for seasonal data, characterized by parameters that differ across the seasons, and focuses on their usefulness for out-of-sample forecasting. Providing an up-to-date survey of the recent developments in periodic time series, the book presents a large number of empirical results.

The first part of the book deals with model selection, diagnostic checking and forecasting of univariate periodic autoregressive models. Tests for periodic integration, are discussed, and an extensive discussion of the role of deterministic regressors in testing for periodic integration and in forecasting is provided.

The second part discusses multivariate periodic autoregressive models. It provides an overview of periodic cointegration models, as these are the most relevant. This overview contains single-equation type tests and a full-system approach based on generalized method of moments.

All methods are illustrated with extensive examples, and the book will be of interest to advanced graduate students and researchers in econometrics, as well as practitioners looking for an understanding of how to approach seasonal data.

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Informazioni sull'autore

Philip Hans Franses is Professor of Applied Econometrics and Professor of Marketing Research at Erasmus University, Rotterdam. He is the author of a number of books, including Periodicity and Stochastic Trends in Economic Time Series (OUP, 1996).

Richard Paap is a Postdoctoral Researcher at the Econometric Institute in Erasmus University, Rotterdam.

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Altre edizioni note dello stesso titolo

9780199242023: Periodic Time Series Models

Edizione in evidenza

ISBN 10:  019924202X ISBN 13:  9780199242023
Casa editrice: OUP Oxford, 2004
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