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Monopolistic Screening under Learning By Doing

Dennis Gaertner ()
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Dennis Gaertner: Socioeconomic Institute, University of Zurich

Authors registered in the RePEc Author Service: Dennis L. Gärtner ()

No 718, SOI - Working Papers from Socioeconomic Institute - University of Zurich

Abstract: This paper investigates the design of incentives in a dynamic adverse selection framework when agents� production technologies display learning effects and agents� rate of learning is private knowledge. In a simple two-period model with full commitment available to the principal, we show that whether learning effects are over- or under-exploited crucially depends on whether learning effects increase or decrease the principal�s uncertainty about agents� costs of production. Hence, what drives the over- or underexploitation of learning effects is whether more efficient agents also learn faster (so costs diverge through learning effects) or whether it is the less efficient agents who learn faster (so costs converge). Furthermore, we show that if divergence in costs through learning effects is strong enough, learning effects will not be exploited at all, in a sense to be made precise.

Keywords: Asymmetric Information; Learning by Doing; Regulation (search for similar items in EconPapers)
JEL-codes: D82 L14 L43 L51 O31 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2007-12
New Economics Papers: this item is included in nep-bec, nep-ind, nep-knm, nep-mic and nep-reg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Published in RAND Journal of Economics 41(3), pp. 574�597, 2010

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https://www.zora.uzh.ch/id/eprint/52387/1/wp0718.pdf First version, 2007 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:soz:wpaper:0718

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