EconPapers    
Economics at your fingertips  
 

Incentive Problems with Unidimensional Hidden Characteristics: A Unified Approach

Martin Hellwig

No 2006_26, Discussion Paper Series of the Max Planck Institute for Research on Collective Goods from Max Planck Institute for Research on Collective Goods

Abstract: The paper develops a technique for studying incentive problems with unidimensional hidden characteristics in a way that is independent of whether the type set is nite, the type distribution has a continuous density, or the type distribution has both mass points and an atomless part. By this technique, the proposition that optimal incentive schemes induce no distortion "at the top" and downward distortions "below the top" is extended to arbitrary type distributions. However, mass points in the interior of the type set require pooling with adjacent higher types and, unless there are other complications, a discontinuous jump in the transition from adjacent lower types.

Keywords: Hidden Characteristics; Incentive Problems; Principal-Agent Models; General Type Distributions (search for similar items in EconPapers)
JEL-codes: C61 D82 D86 (search for similar items in EconPapers)
Date: 2006-12, Revised 2010-04
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (40)

Downloads: (external link)
http://www.coll.mpg.de/pdf_dat/2006_26online.pdf (application/pdf)

Related works:
Journal Article: Incentive Problems With Unidimensional Hidden Characteristics: A Unified Approach (2010) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mpg:wpaper:2006_26

Access Statistics for this paper

More papers in Discussion Paper Series of the Max Planck Institute for Research on Collective Goods from Max Planck Institute for Research on Collective Goods Contact information at EDIRC.
Bibliographic data for series maintained by Marc Martin ().

 
Page updated 2025-04-18
Handle: RePEc:mpg:wpaper:2006_26