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Título:
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A solution method for a class of learning by doing models.
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Autores:
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Álvarez González, Francisco ;
Cerdá Tena, Emilio
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Tipo de documento:
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texto impreso
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Editorial:
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Facultad de Ciencias Económicas y Empresariales. Instituto Complutense de Análisis Económico (ICAE), 1996-02
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Análisis matemático
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Tipo = Documento de trabajo o Informe técnico
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Resumen:
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We obtain in the closed-form the optimal policy for a class of learning by doing models, in which a monopolist operating in a market with linear demand and finite time horizon, faces a lower bound in the cost reduction that can be achived through production. By using Dynamic Programming principles we show that the existence of a lower bound in the unit production cost implies that the optimal decision for output is a function which is indexed by initial unit cost. There is an optimal set of threshold values beyond wich the parameters of the production rule change. Some examples with specific parameter values are provided.
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En línea:
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https://eprints.ucm.es/id/eprint/28965/1/ICAE9603.pdf
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