Curbing Cream-Skimming: Evidence on Enrolment Incentives

Pascal Courty (), Do Han Kim and Gerald Roger Marschke ()

No 7121, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: Using data from a large, U.S. federal job training program, we investigate whether enrolment incentives that exogenously vary the ‘shadow prices’ for serving different demographic subgroups of clients influence case workers’ intake decisions. We show that case workers enroll more clients from subgroups whose shadow prices increase but select at the margin weaker-performing members from those subgroups. We conclude that enrolment incentives curb cream-skimming across subgroups leaving a residual potential for cream-skimming within a subgroup.

Keywords: bureaucrat behavior; cream-skimming; enrolment incentives; Performance measurement; public organizations (search for similar items in EconPapers)
JEL-codes: H72 J33 L14 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-lab
Date: 2009-01
View list of references

Downloads: (external link)
http://www.cepr.org/pubs/dps/DP7121.asp (application/pdf)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org

Related works:
Working Paper: Curbing Cream-Skimming: Evidence on Enrolment Incentives (2008)
Working Paper: Curbing cream-skimming: Evidence on enrolment incentives (2009)
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: http://EconPapers.repec.org/RePEc:cpr:ceprdp:7121

Ordering information: This working paper can be ordered from
http://www.cepr.org/pubs/dps/DP7121.asp

Access Statistics for this paper

More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers
Address: Centre for Economic Policy Research, 53--56 Great Sutton Street, London EC1V 0DG
Series data maintained by ().