A Classification System for Economic Stochastic Control Models

The lack of a clear classification structure and the use of a variety of names for the same solution method for stochastic control models in economics, create communications inefficiencies in the field. A proposal is made for a classification system based on a number of attributes of these models in...

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Veröffentlicht in:Computational economics 2006-06, Vol.27 (4), p.453-481
Hauptverfasser: Amman, Hans M, Kendrick, David Andrew
Format: Artikel
Sprache:eng
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Zusammenfassung:The lack of a clear classification structure and the use of a variety of names for the same solution method for stochastic control models in economics, create communications inefficiencies in the field. A proposal is made for a classification system based on a number of attributes of these models including stochastic elements, solution classes, estimation method, forward-looking variables and policies-to-parameters effects. Tables are provided which categorize some well-known example models into this structure. Our work focuses on models with quadratic criterion functions and linear systems equations and without game theory elements. Thus it is a mere start of a larger effort which is much needed since there has been a proliferation of stochastic control models in economics in recent years. Key words: stochastic control, economic stochastic control models, classification system, naming system, adaptive control, min-max control, robust control
ISSN:0927-7099
1572-9974
DOI:10.1007/s10614-005-9000-8