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A note on observational equivalence of micro assumptions on macro level

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  • Ponomarenko, Alexey

Abstract

The author set up a simplistic agent-based model where agents learn with reinforcement observing an incomplete set of variables. The model is employed to generate an artificial dataset that is used to estimate standard macro econometric models. The author shows that the results are qualitatively indistinguishable (in terms of the signs and significances of the coefficients and impulse-responses) from the results obtained with a dataset that emerges in a genuinely rational system.

Suggested Citation

  • Ponomarenko, Alexey, 2020. "A note on observational equivalence of micro assumptions on macro level," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-15.
  • Handle: RePEc:zbw:ifweej:20203
    DOI: 10.5018/economics-ejournal.ja.2020-3
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    References listed on IDEAS

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    1. Thomas J. Sargent, 1973. "Rational Expectations, the Real Rate of Interest, and the Natural Rate of Unemployment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 4(2), pages 429-480.
    2. A G Haldane & A E Turrell, 2018. "An interdisciplinary model for macroeconomics," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 219-251.
    3. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    4. Minford, Patrick & Wickens, Michael & Xu, Yongdeng, 2016. "Comparing different data descriptors in Indirect Inference tests on DSGE models," Economics Letters, Elsevier, vol. 145(C), pages 157-161.
    5. Ilek, Alex, 2017. "A Note On The Rationality Test," Macroeconomic Dynamics, Cambridge University Press, vol. 21(8), pages 2121-2137, December.
    6. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    7. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    8. Andolfatto, David & Hendry, Scott & Moran, Kevin, 2008. "Are inflation expectations rational?," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 406-422, March.
    9. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
    10. Stephan Schuster, 2012. "BRA: An Algorithm for Simulating Bounded Rational Agents," Computational Economics, Springer;Society for Computational Economics, vol. 39(1), pages 51-69, January.
    11. Simon Wren-Lewis, 2018. "Ending the microfoundations hegemony," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 55-69.
    12. Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-411, May.
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    Keywords

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    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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