Modelling and forecasting regional service employment in Great Britain

被引:0
作者
Sarantis, N
Swales, C
机构
[1] London Guildhall Univ, Dept Econ, London EC2M 6SQ, England
[2] No Ireland Civil Serv, DFP Econ Div, Belfast, Antrim, North Ireland
关键词
service employment; regional; forecasting;
D O I
10.1016/S0264-9993(99)00009-7
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper attempts to forecast employment growth in the service sector, on a regional basis across Great Britain. Four forecasting models are used: Time-varying parameters, regression, state space, and ARIMA. The empirical results suggest that the regional growth rates in service employment displayed a steady convergence during the 1980s, but deconvergence in the 1990s, and that the composite leading indicator exerted a strong influence on regional service employment. In terms of out-of-sample forecast accuracy, none of the models dominates the others, though the state space model has a slight edge on average, particularly in the case of multiperiod predictions. In addition, the relative forecasting performance of a professional structural model of the GB regions is compared to the estimated models. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:429 / 453
页数:25
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