Block Recursive Equilibria for Stochastic Models of Search on the Job

Guido Menzio and Shouyong Shi

No 14907, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: In this paper, we develop a general stochastic model of directed search on the job. Like in the analogous models of random search on the job, the state of the economy in our model includes the infinite-dimensional distribution of workers across different employment states (unemployment, and employment at different wages). Unlike the analogous models of random search on the job, our model admits an equilibrium in which the agents' value and policy functions do not depend on the distribution of workers. We refer to this type of equilibrium as a Block Recursive Equilibrium. Therefore, while solving the equilibrium of a random search model in a stochastic environment is a difficult task both analytically and computationally, solving the Block Recursive Equilibrium of our model is as easy as solving a representative agent model.

JEL-codes: E32 J64 (search for similar items in EconPapers)
Date: 2009-04
New Economics Papers: this item is included in nep-dge, nep-lab and nep-mac
Note: TWP
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Citations: View citations in EconPapers (11)

Published as Menzio, Guido & Shi, Shouyong, 2010. "Block recursive equilibria for stochastic models of search on the job," Journal of Economic Theory, Elsevier, vol. 145(4), pages 1453-1494, July.

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Related works:
Journal Article: Block recursive equilibria for stochastic models of search on the job (2010)
Working Paper: Block Recursive Equilibria for Stochastic Models of Search on the Job (2009)
Working Paper: Block Recursive Equilibria for Stochastic Models of Search on the Job (2009)
Working Paper: Block Recursive Equilibria for Stochastic Models of Search on the Job (2009)
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