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Learning And Endogenous Scrapping In The Machine Replacement Model

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Author Info
Juan M. Ruiz (Universidad Carlos II de Madrid)
Joao Ejarque (University of Copenhagen)

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Abstract

We take the standard machine replacement model and introduce uncertainty about the productivity differential of new vintages made available as time passes. In particular, agents are uncertain about the quality of their match with a new vintage until they adopt it. Uncertainty allows us to generate endogenous switching costs as agents will not necessarily replace their old vintages every period, even if there are zero (physical) scrapping costs. We analize the behavior of investment in the model and compare it to the case of fixed and proportional switching costs with no uncertainty. We also determine the value of information about vintage quality by comparing the path of investment with and without uncertainty in the baseline case (no scrapping costs).

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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2000 with number 239.

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Date of creation: 05 Jul 2000
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Handle: RePEc:sce:scecf0:239

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Postal: CEF 2000, Departament d'Economia i Empresa, Universitat Pompeu Fabra, Ramon Trias Fargas, 25,27, 08005, Barcelona, Spain
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