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The Benefits of Sequential Screening

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  • Krähmer, Daniel
  • Strausz, Roland

Abstract

This paper considers the canonical sequential screening model and shows that when the agent has an expost outside option, the principal does not benefit from eliciting the agent’s information sequentially. Unlike in the standard model without expost outside options, the optimal contract is static and conditions only on the agent’s aggregate final information. The benefits of sequential screening in the standard model are therefore due to relaxed participation rather than relaxed incentive compatibility constraints. We argue that in the presence of expost participation constraints, the classical, local approach fails to identify binding incentive constraints and develop a novel, inductive procedure to do so instead. The result extends to the multi–agent version of the problem.

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Bibliographic Info

Paper provided by Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich in its series Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems with number 363.

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Date of creation: Oct 2011
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Handle: RePEc:trf:wpaper:363

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Related research

Keywords: Sequential screening; dynamic mechanism design; participation constraints; Mirrlees approach;

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References

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  1. Daniel Krähmer & Roland Strausz, 2011. "Optimal Procurement Contracts with Pre-Project Planning," Review of Economic Studies, Oxford University Press, vol. 78(3), pages 1015-1041.
  2. Krahmer Daniel & Strausz Roland, 2008. "Ex Post Private Information and Monopolistic Screening," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-27, October.
  3. repec:rje:randje:v:37:y:2006:3:p:503-520 is not listed on IDEAS
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Cited by:
  1. Daniel Danau & Annalisa Vinella, 2012. "Optimal contract with private information on cost expectation and variability," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201228, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.

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