2005
DOI: 10.1086/429804
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A Unified Framework for Monetary Theory and Policy Analysis

Abstract: Search-theoretic models of monetary exchange are based on explicit descriptions of the frictions that make money essential. However, tractable versions of these models typically need strong assumptions that make them ill-suited for studying monetary policy. We propose a framework based on explicit micro foundations within which macro policy can be analyzed. The model is both analytically tractable and amenable to quantitative analysis. We demonstrate this by using it to estimate the welfare cost of in ‡ation. … Show more

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Cited by 1,282 publications
(1,835 citation statements)
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References 38 publications
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“…15 The deviating household divides the buyers into group 1 and group 2. The size of group j (= 1, 2) is n j , with n 1 + n 2 = N .…”
Section: Discussionmentioning
confidence: 99%
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“…15 The deviating household divides the buyers into group 1 and group 2. The size of group j (= 1, 2) is n j , with n 1 + n 2 = N .…”
Section: Discussionmentioning
confidence: 99%
“…In our model, the members share consumption. An alternative formulation is to allow agents to smooth utility, as it is done in [15]. These two formulations are the same when the utility function is linear in consumption.…”
Section: Multiple Steady Statesmentioning
confidence: 99%
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“…Our model is based on the alternating market formulation of Lagos and Wright (2005), and liquidity shocks of Berentsen and Monnet (2008). This allows us to study frictions in the interbank market but still have frictionless trade in the asset market.…”
Section: Overviewmentioning
confidence: 99%
“…Frequently, such contexts are modeled by assuming that there is random matching of agents. For instance, in several papers in monetary theory, markets with decentralized trade are modeled by assuming that agents are randomly matched in pairs; see, e.g., Kiyotaki and Wright (1989) or Lagos and Wright (2005). In labor economics, search frictions are modeled by assuming that workers and firms are randomly matched; see, e.g., Mortensen and Pissarides (1994).…”
Section: Introductionmentioning
confidence: 99%