Information theory and economic growth models

DOI10.1080/00207729308949497zbMath0772.90019OpenAlexW2079380438MaRDI QIDQ4693304

Jati K. Sengupta

Publication date: 17 August 1993

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729308949497

zbMATH Keywords

economic growthstochastic process models

Mathematics Subject Classification ID

Application models in control theory (93C95) Economic growth models (91B62) Information theory (general) (94A15)

Cites Work

• State-space formulae for all stabilizing controllers that satisfy an \(H_{\infty}\)-norm bound and relations to risk sensitivity
• Modelling the persistence of conditional variances
• Derivation of the maximum entropyH_∞-controller and a state-space formula for its entropy
• The Maximum-Entropy Distribution of the Future Market Price of a Stock
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