Problems of Time Series Analysis

Nerlove

ISBN 10: 146159927X / ISBN 13: 9781461599272

Published by Birkhäuser Boston, Birkhäuser Boston Jul 2012, 2012

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -The last decade has witnessed an increased interest in time series analysis. Non-parametric methods like spectral and cross spectral analysis are used to discover regularities in individual time series, re lationships between specific components of different time series and leads or lags between those series. Box-Jenkins procedures for the pa rametric estimation of autoregressive-moving average schemes be long nowadays to the standard equipment of a computer center. In economics this revival of time series analysis has led to numer ous empirical studies on optimal seasonal adjustment procedures, the behavior of prices, production, employment etc. More recently, Box Jenkins methods form an integral part for tests on the efficiency of markets, the effectiveness of monetary and fiscal policies and for the study of the röle of different assumptions on the formation of expec tations. This volume comprehends aseries of lectures which deal with var ious topics of time series analysis delivered during the wintersemester 1978/79 at the faculty of economics and statistics. The collection be gins with a paper by M. Nerlove introducing the concept of unob served components. Theoretical results are illustrated by examples se ries on prices of steers, heifers, cows and milk, of cattle and for time hog slaughter, of industrial production and male unemployment. The study by S. Heiler considers a mixed model with a linear regression part and a regular residual process for the prediction of economic processes when additional information is available.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 108 pp. Englisch.

Seller Inventory # 9781461599272

Bibliographic Details

• Title: Problems of Time Series Analysis
• Publisher: Birkhäuser Boston, Birkhäuser Boston Jul 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 146159927X
• ISBN 13: 9781461599272
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 216W x 140H x 7D millimeters 216 millimeters width by 140 millimeters height by 7 millimeters depth
• Weight: 148 grams

About this title

Synopsis

The last decade has witnessed an increased interest in time series analysis. Non-parametric methods like spectral and cross spectral analysis are used to discover regularities in individual time series, re­ lationships between specific components of different time series and leads or lags between those series. Box-Jenkins procedures for the pa­ rametric estimation of autoregressive-moving average schemes be­ long nowadays to the standard equipment of a computer center. In economics this revival of time series analysis has led to numer­ ous empirical studies on optimal seasonal adjustment procedures, the behavior of prices, production, employment etc. More recently, Box­ Jenkins methods form an integral part for tests on the efficiency of markets, the effectiveness of monetary and fiscal policies and for the study of the röle of different assumptions on the formation of expec­ tations. This volume comprehends aseries of lectures which deal with var­ ious topics of time series analysis delivered during the wintersemester 1978/79 at the faculty of economics and statistics. The collection be­ gins with a paper by M. Nerlove introducing the concept of unob­ served components. Theoretical results are illustrated by examples se ries on prices of steers, heifers, cows and milk, of cattle and for time hog slaughter, of industrial production and male unemployment. The study by S. Heiler considers a mixed model with a linear regression part and a regular residual process for the prediction of economic processes when additional information is available.