Information theory and economic growth models
作者:
JATIK. SENGUPTA,
期刊:
International Journal of Systems Science
(Taylor Available online 1993)
卷期:
Volume 24,
issue 2
页码: 403-418
ISSN:0020-7721
年代: 1993
DOI:10.1080/00207729308949497
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Econometric use of information theory in dynamic models is briefly reviewed for both modelling and estimation purposes. As an example, two types of stochastic process models, one linear and the other logistic, are developed for application in economic growth models. These models are suitable for understanding the structure of the growth-inducing and growth-retarding effects of exports in the phenomenal economic growth in the newly industrializing countries of Asia over the last two decades.
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