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The role of age-structured education data for economic growth forecasts

✍ Scribed by Jesús Crespo Cuaresma; Tapas Mishra


Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
647 KB
Volume
30
Category
Article
ISSN
0277-6693

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✦ Synopsis


Abstract

This paper utilizes for the first time age‐structured human capital data for economic growth forecasting. We concentrate on pooled cross‐country data of 65 countries over six 5‐year periods (1970–2000) and consider specifications chosen by model selection criteria, Bayesian model averaging methodologies based on in‐sample and out‐of‐sample goodness of fit and on adaptive regression by mixing. The results indicate that forecast averaging and exploiting the demographic dimension of education data improve economic growth forecasts systematically. In particular, the results are very promising for improving economic growth predictions in developing countries. Copyright © 2009 John Wiley & Sons, Ltd.