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Information, heterogeneity and market incompleteness

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  • Graham, Liam
  • Wright, Stephen

Abstract

Information is "market-consistent" if agents only use market prices to infer the underlying states of the economy. This paper applies this concept to a stochastic growth model with incomplete markets and heterogeneous agents. The economy with market-consistent information can never replicate the full information equilibrium, and there are substantial differences in impulse responses to aggregate productivity shocks. These results are robust to the introduction of a noisy public signal and aggregate financial markets. We argue that the principle of market-consistent information should be applied to any model with incomplete markets.

Suggested Citation

  • Graham, Liam & Wright, Stephen, 2010. "Information, heterogeneity and market incompleteness," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 164-174, March.
  • Handle: RePEc:eee:moneco:v:57:y:2010:i:2:p:164-174
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    Citations

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    Cited by:

    1. Alexandre Kohlhas, 2015. "Learning-by-Sharing: Monetary Policy and the Information Content of Public Signals," 2015 Meeting Papers 57, Society for Economic Dynamics.
    2. John Barrdear, 2014. "Peering into the mist: social learning over an opaque observation network," Discussion Papers 1409, Centre for Macroeconomics (CFM).
    3. Giacomo Rondina & Todd Walker, 2016. "Learning and Informational Stability of Dynamic REE with Incomplete Information," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 147-159, July.
    4. Manoj Atolia & Ryan Chahrour, 2013. "Intersectoral Linkages, Diverse Information, and Aggregate Dynamics," Boston College Working Papers in Economics 832, Boston College Department of Economics, revised 12 May 2015.
    5. Kristoffer P. Nimark, 2014. "Man-Bites-Dog Business Cycles," American Economic Review, American Economic Association, vol. 104(8), pages 2320-2367, August.
    6. Baxter, Brad & Graham, Liam & Wright, Stephen, 2011. "Invertible and non-invertible information sets in linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(3), pages 295-311, March.
    7. Kenza Benhima, 2013. "Booms and Busts with dispersed information," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 13.11, Université de Lausanne, Faculté des HEC, DEEP.
    8. Brad Baxter & Liam Graham & Stephen Wright, 2007. "The Endogenous Kalman Filter," Birkbeck Working Papers in Economics and Finance 0719, Birkbeck, Department of Economics, Mathematics & Statistics.
    9. Ryan Chahrour & Manoj Atolia, 2015. "Intersectoral Linkages, Diverse Information, and Aggregate Dynamics in a Neoclassical Model," 2015 Meeting Papers 398, Society for Economic Dynamics.
    10. repec:eee:jmacro:v:53:y:2017:i:c:p:162-175 is not listed on IDEAS
    11. Giusto, Andrea, 2014. "Adaptive learning and distributional dynamics in an incomplete markets model," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 317-333.
    12. Guo, Zi-Yi, 2017. "Information heterogeneity, housing dynamics and the business cycle," EconStor Preprints 168561, ZBW - German National Library of Economics.
    13. Guo, Zi-Yi, 2017. "Information heterogeneity, housing dynamics and the business cycle," Economics Discussion Papers 2017-17, Kiel Institute for the World Economy (IfW).

    More about this item

    Keywords

    Imperfect information Higher order expectations Kalman filter Dynamic general equilibrium;

    JEL classification:

    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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