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Information, heterogeneity and market incompleteness in the stochastic growth model

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  • Liam Graham
  • Stephen Wright

Abstract

We provide a microfounded account of imperfect information in the stochastic growth model which dramatically changes the properties of the model. We describe heterogenous households that acquire information about aggregates through their participation in markets. If markets are incomplete, household information will be imperfect. We solve the model taking account of the infinite regress of expectations that this lack of information implies. We derive analytical and numerical results to show that imperfect information can significantly change the properties of the model: under virtually all calibrations the impact response of consumption to a positive aggregate technology shock is negative.

Suggested Citation

  • Liam Graham & Stephen Wright, 2007. "Information, heterogeneity and market incompleteness in the stochastic growth model," CDMA Conference Paper Series 0704, Centre for Dynamic Macroeconomic Analysis.
    • Handle: RePEc:san:cdmacp:0704
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    File URL: https://www.st-andrews.ac.uk/CDMA/papers/cp0704.pdf
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    References listed on IDEAS

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    1. Prescott, Edward C., 1986. "Theory ahead of business-cycle measurement," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 11-44, January.
    2. Svensson, Lars E. O. & Woodford, Michael, 2004. "Indicator variables for optimal policy under asymmetric information," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 661-690, January.
    3. Pearlman, Joseph & Currie, David & Levine, Paul, 1986. "Rational expectations models with partial information," Economic Modelling, Elsevier, vol. 3(2), pages 90-105, April.
    4. Pearlman, Joseph G., 1992. "Reputational and nonreputational policies under partial information," Journal of Economic Dynamics and Control, Elsevier, vol. 16(2), pages 339-357, April.
    5. Aoki, Kosuke, 2006. "Optimal commitment policy under noisy information," Journal of Economic Dynamics and Control, Elsevier, vol. 30(1), pages 81-109, January.
    6. Yongsung Chang & Sun-Bin Kim, 2006. "From Individual To Aggregate Labor Supply: A Quantitative Analysis Based On A Heterogeneous Agent Macroeconomy ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(1), pages 1-27, February.
    7. Campbell, John Y., 1994. "Inspecting the mechanism: An analytical approach to the stochastic growth model," Journal of Monetary Economics, Elsevier, vol. 33(3), pages 463-506, June.
    8. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444590, May.
    9. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606, May.
    10. Townsend, Robert M, 1983. "Forecasting the Forecasts of Others," Journal of Political Economy, University of Chicago Press, vol. 91(4), pages 546-588, August.
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    Cited by:

    1. 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.
    2. Eric R. Young & Ponpoje Porapakkarm, 2008. "Information Heterogeneity in the Macroeconomy," 2008 Meeting Papers 67, Society for Economic Dynamics.
    3. Daniel R. Carroll & Eric Young, 2009. "A note on sunspots with heterogeneous agents," Working Papers (Old Series) 0906, Federal Reserve Bank of Cleveland.

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    Keywords

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    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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