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Monetary policy with heterogeneous agents: Insights from TANK models

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Abstract

Leaning-against the-wind (LAW) policies, whereby interest rates are raised in the face of a growing asset price bubble, are often advocated as a means of dampening such bubbles. On the other hand, there are theoretical arguments suggesting that such a policy could have the opposite effect (Gal, 2014). We study the effect of monetary policy on asset price bubbles in a laboratory experiment with an overlapping generations structure. Participants in the role of the young generation allocate their endowment between two investments: a risky asset and a one-period riskless bond. The risky asset pays no dividend and thus the possibility of selling it to the next generation is its only source of value. Consequently, its price is a pure bubble. We study how variations in the interest rate affect the evolution of the bubble in an experiment with three treatments. One treatment has a xed low interest rate, another a xed high interest rate, and the third has a LAW interest rate policy in place. We observe that the bubble increases (decreases) when interest rates are lower (higher) in the period of a policy change. However, the opposite effect is observed in the following period, when higher (lower) interest rates are associated with greater (smaller) bubble growth. Direct measurement of expectations reveals that traders expect prices to follow previous trends and tend to correct for prior errors in their predictions.

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  • Davide Debortoli & Jordi Galí, 2017. "Monetary policy with heterogeneous agents: Insights from TANK models," Economics Working Papers 1686, Department of Economics and Business, Universitat Pompeu Fabra, revised May 2021.
  • Handle: RePEc:upf:upfgen:1686
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    Cited by:

    1. Sushant Acharya & Edouard Challe & Keshav Dogra, 2023. "Optimal Monetary Policy According to HANK," American Economic Review, American Economic Association, vol. 113(7), pages 1741-1782, July.
    2. Collard, Fabrice & Boissay, Frédéric & Galì, Jordi & Manea, Cristina, 2021. "Monetary Policy and Endogenous Financial Crises," TSE Working Papers 21-1277, Toulouse School of Economics (TSE), revised Apr 2023.
    3. Felipe Alves & Greg Kaplan & Benjamin Moll & Giovanni L. Violante, 2020. "A Further Look at the Propagation of Monetary Policy Shocks in HANK," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S2), pages 521-559, December.
    4. Cantore, Cristiano & Freund, Lukas B., 2021. "Workers, capitalists, and the government: fiscal policy and income (re)distribution," Journal of Monetary Economics, Elsevier, vol. 119(C), pages 58-74.
    5. Galo Nuño & Carlos Thomas, 2020. "Optimal Monetary Policy with Heterogeneous Agents," CESifo Working Paper Series 8670, CESifo.
    6. repec:zbw:bofrdp:2020_009 is not listed on IDEAS
    7. Garriga, Carlos & Kydland, Finn E. & Šustek, Roman, 2021. "MoNK: Mortgages in a New-Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    8. Silvo, Aino & Verona, Fabio, 2020. "The Aino 3.0 model," Research Discussion Papers 9/2020, Bank of Finland.
    9. Christopher J. Nekarda & Valerie A. Ramey, 2020. "The Cyclical Behavior of the Price‐Cost Markup," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S2), pages 319-353, December.
    10. Moser, Christian & Saidi, Farzad & Wirth, Benjamin & Wolter, Stefanie, 2020. "Credit Supply, Firms, and Earnings Inequality," MPRA Paper 100371, University Library of Munich, Germany.
    11. Bahl, Ojasvita & Ghate, Chetan & Mallick, Debdulal, 2020. "Redistributive Policy Shocks and Monetary Policy with Heterogeneous Agents," MPRA Paper 101651, University Library of Munich, Germany.
    12. Hohberger, Stefan & Priftis, Romanos & Vogel, Lukas, 2020. "The distributional effects of conventional monetary policy and quantitative easing: Evidence from an estimated DSGE model," Journal of Banking & Finance, Elsevier, vol. 113(C).
    13. Jan Willem van den End & Paul Konietschke & Anna Samarina & Irina M. Stanga, 2020. "Macroeconomic reversal rate: evidence from a nonlinear IS-curve," Working Papers 684, DNB.
    14. Gerke, Rafael & Giesen, Sebastian & Scheer, Alexander, 2020. "The power of forward guidance in a quantitative TANK model," Economics Letters, Elsevier, vol. 186(C).
    15. Svend E. Hougaard Jensen & Sigurdur P. Olafsson & Thorsteinn Sigurdur Sveinsson & Gylfi Zoega, 2022. "Mapping Educational Disparities in Life-Cycle Consumption," CESifo Working Paper Series 9855, CESifo.
    16. Sushant Acharya & Keshav Dogra, 2020. "Understanding HANK: Insights From a PRANK," Econometrica, Econometric Society, vol. 88(3), pages 1113-1158, May.
    17. Svend E. Hougaard Jensen & Sigurdur P. Olafsson & Thorsteinn S. Sveinsson & Gylfi Zoega, 2022. "Mapping educational disparities in life-cycle consumption," Economics wp89, Department of Economics, Central bank of Iceland.
    18. P. Campoy-Muñoz & M. A. Cardenete & F. J. De Miguel-Vélez & J. Pérez-Mayo, 2022. "How does fiscal austerity impact on poverty and inequality? The Spanish case," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(3), pages 715-737, October.
    19. Bilbiie, Florin O., 2020. "The New Keynesian cross," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 90-108.

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    More about this item

    Keywords

    heterogeneous agents; New Keynesian models;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

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