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Using Age Structure for a Multi-stage Optimal Control Model with Random Switching Time

The paper presents a transformation of a multi-stage optimal control model with random switching time to an age-structured optimal control model. Following the mathematical transformation, the advantages of the present approach, as compared to a standard backward approach, are discussed. They relate...

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Detalles Bibliográficos
Autores principales: Wrzaczek, Stefan, Kuhn, Michael, Frankovic, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007911/
https://www.ncbi.nlm.nih.gov/pubmed/32103838
http://dx.doi.org/10.1007/s10957-019-01598-5
Descripción
Sumario:The paper presents a transformation of a multi-stage optimal control model with random switching time to an age-structured optimal control model. Following the mathematical transformation, the advantages of the present approach, as compared to a standard backward approach, are discussed. They relate in particular to a compact and unified representation of the two stages of the model: the applicability of well-known numerical solution methods and the illustration of state and control dynamics. The paper closes with a simple example on a macroeconomic shock, illustrating the workings and advantages of the approach.