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Intersectoral Linkages, Diverse Information, and Aggregate Dynamics

Manoj Atolia () and Ryan Chahrour

No 832, Boston College Working Papers in Economics from Boston College Department of Economics

Abstract: What do firms learn from their interactions in markets, and what are the implications for aggregate dynamics? We address this question in a multi-sector real-business cycle model with a sparse input-output structure. In each sector, firms observe their own productivity, along with the prices of their inputs and the price of their output. We show that general equilibrium market-clearing conditions place heavy constraints on average expectations, and characterize a set of cases where average expectations (and average dynamics) are exactly those of the full-information model. This "aggregate irrelevance" of information can occur even when sectoral expectations and dynamics are quite different under partial information, and despite the fact that each sector represents a non-negligible portion of the overall economy. In numerical examples, we show that even when the conditions for aggregate irrelevance of information are not met, aggregate dynamics remain nearly identical to the full-information model under reasonable calibrations.

Keywords: Imperfect information; Information frictions; Dispersed information; Sectoral linkages; Strategic complementarity; Higher-order expectations (search for similar items in EconPapers)
JEL-codes: D52 D57 D80 E32 (search for similar items in EconPapers)
Date: 2013-09-16, Revised 2015-05-12
New Economics Papers: this item is included in nep-dge and nep-mac
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Journal Article: Intersectoral Linkages, Diverse Information, and Aggregate Dynamics (2020) Downloads
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