Dynamic Modelling of Stochastic Demand for Manufacturing Employment

Gerard A. Pfann

ISBN 10: 3540528814 / ISBN 13: 9783540528814

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 1990, 1990

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -In this book interrelated factor demand models are surveyed. New methods are developed and are analysed empirically using Dutch and U.K. time series data. New methods are discussed for obtaining closed form solutions of linear ratinal expectations models, providing deeper insights into the identification of structural parameters of underlying theoretical models; recently developed time series techniques are applied in order to estimate structural parameters and test for model specification, stationarity and stability through time; new models are developed in which the rather stringent and questionable restrictions of symmetry generally imposed upon stochastic adjustment models of labour demand are relaxed, the models are analysed empirically using time series data of Dutch and U.K. manufacturing production and nonproduction workers.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch.

Seller Inventory # 9783540528814

Bibliographic Details

• Title: Dynamic Modelling of Stochastic Demand for Manufacturing Employment
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 1990
• Publication Date: 1990
• Language: English
• ISBN 10: 3540528814
• ISBN 13: 9783540528814
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 10D millimeters 244 millimeters width by 170 millimeters height by 10 millimeters depth
• Weight: 309 grams

About this title

Synopsis

In this book interrelated factor demand models are surveyed. New methods are developed and are analysed empirically using Dutch and U.K. time series data. New methods are discussed for obtaining closed form solutions of linear ratinal expectations models, providing deeper insights into the identification of structural parameters of underlying theoretical models; recently developed time series techniques are applied in order to estimate structural parameters and test for model specification, stationarity and stability through time; new models are developed in which the rather stringent and questionable restrictions of symmetry generally imposed upon stochastic adjustment models of labour demand are relaxed, the models are analysed empirically using time series data of Dutch and U.K. manufacturing production and nonproduction workers.