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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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