IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwedp/201951.html
   My bibliography  Save this paper

A note on observational equivalence of micro assumptions on macro level

Author

Listed:
  • Ponomarenko, Alexey

Abstract

The author sets 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, 2019. "A note on observational equivalence of micro assumptions on macro level," Economics Discussion Papers 2019-51, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwedp:201951
    as

    Download full text from publisher

    File URL: http://www.economics-ejournal.org/economics/discussionpapers/2019-51
    Download Restriction: no
    File URL: https://www.econstor.eu/bitstream/10419/206608/1/1681695529.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
    3. 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.
    4. Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-411, May.
    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. 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.
    8. 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.
    9. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    10. Andolfatto, David & Hendry, Scott & Moran, Kevin, 2008. "Are inflation expectations rational?," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 406-422, March.
    11. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    12. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert G. King, 2000. "The new IS-LM model : language, logic, and limits," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 45-103.
    2. Atahan Afsar; José Elías Gallegos; Richard Jaimes; Edgar Silgado Gómez & José Elías Gallegos & Richard Jaimes & Edgar Silgado Gómez, 2020. "Reconciling Empirics and Theory: The Behavioral Hybrid New Keynesian Model," Vniversitas Económica 18560, Universidad Javeriana - Bogotá.
    3. Zhao Han & Xiaohan Ma & Ruoyun Mao, 2023. "The Role of Dispersed Information in Inflation and Inflation Expectations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 48, pages 72-106, April.
    4. Jeremy Rudd & Karl Whelan, 2007. "Modeling Inflation Dynamics: A Critical Review of Recent Research," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 155-170, February.
    5. Di Bartolomeo, Giovanni & Di Pietro, Marco & Beqiraj, Elton, 2020. "Price and wage inflation persistence across countries and monetary regimes," Journal of International Money and Finance, Elsevier, vol. 109(C).
    6. Richard K. Crump & Stefano Eusepi & Marc Giannoni & Aysegul Sahin, 2019. "A Unified Approach to Measuring u," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 50(1 (Spring), pages 143-238.
    7. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502.
    8. Mazali, Antonio Alberto & Divino, Jose Angelo, 2010. "Real Wage Rigidity and the New Phillips Curve: The Brazilian Case," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 64(3), September.
    9. George-Marios Angeletos, 2018. "Frictional Coordination," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 563-603.
    10. Leu, Shawn Chen-Yu & Sheen, Jeffrey, 2011. "A small New Keynesian state space model of the Australian economy," Economic Modelling, Elsevier, vol. 28(1), pages 672-684.
    11. Collard, Fabrice & Dellas, Harris & Smets, Frank, 2009. "Imperfect information and the business cycle," Journal of Monetary Economics, Elsevier, vol. 56(S), pages 38-56.
    12. Juan Acosta & Beatrice Cherrier & François Claveau & Clément Fontan & Francesco Sergi & Aurélien Goutsmedt, 2023. "Six Decades of Economic Research at the Bank of England," Post-Print hal-03919394, HAL.
    13. Bernardo Candia & Olivier Coibion & Yuriy Gorodnichenko, 2021. "The Inflation Expectations of U.S. Firms: Evidence from a new survey," NBER Working Papers 28836, National Bureau of Economic Research, Inc.
    14. Slanicay Martin, 2014. "Some Notes on Historical, Theoretical, and Empirical Background of DSGE Models," Review of Economic Perspectives, Sciendo, vol. 14(2), pages 1-20, June.
    15. Paul Beaudry & Franck Portier, 2018. "Real Keynesian Models and Sticky Prices," 2018 Meeting Papers 61, Society for Economic Dynamics.
    16. Stephane Dees & M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2009. "Identification of New Keynesian Phillips Curves from a Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(7), pages 1481-1502, October.
    17. Sunil Paul & Sartaj Rasool Rather & M. Ramachandran, 2015. "Money and Inflation: Evidence from P-Star Model," Working Papers 2015-115, Madras School of Economics,Chennai,India.
    18. Mr. Tamim Bayoumi & Ms. Silvia Sgherri, 2004. "Deconstructing the Art of Central Banking," IMF Working Papers 2004/195, International Monetary Fund.
    19. Kose, M. Ayhan & Matsuoka, Hideaki & Panizza, Ugo & Vorisek, Dana, 2019. "Inflation Expectations: Review and Evidence," CEPR Discussion Papers 13601, C.E.P.R. Discussion Papers.
    20. Tomasz Lyziak, 2010. "Measurement of perceived and expected inflation on the basis of consumer survey data," IFC Working Papers 5, Bank for International Settlements.

    More about this item

    Keywords

    microfoundations; bounded rationality; reinforcement learning; agent-based model;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:ifwedp:201951. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwkiede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.