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Monetary Policy In A Non-Representative Agent Economy: A Survey

Author

Listed:
  • Michał Brzoza-Brzezina
  • Marcin Kolasa
  • Grzegorz Koloch
  • Krzysztof Makarski
  • Michał Rubaszek

Abstract

It is well-known that central bank policies affect not only macroeconomic aggregates, but also their distribution across economic agents. Similarly, a number of papers demonstrated that heterogeneity of agents may matter for the transmission of monetary policy on macro variables. Despite this, the mainstream monetary economics literature has so far been dominated by dynamic stochastic general equilibrium (DSGE) models with representative agents. This article aims to tilt this imbalance towards heterogeneous agents setups by surveying the main positive and normative findings of this line of the literature, and suggesting areas in which these models could be implemented. In particular, we review studies that analyze the heterogeneity of (i) households’ income, (ii) households’ preferences, (iii) consumers’ age, (iv) expectations, and (v) firms’ productivity and financial position. We highlight the results on issues that, by construction, cannot be investigated in a representative agent framework and discuss important papers modifying the findings from the representative agent literature.
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Suggested Citation

  • Michał Brzoza-Brzezina & Marcin Kolasa & Grzegorz Koloch & Krzysztof Makarski & Michał Rubaszek, 2013. "Monetary Policy In A Non-Representative Agent Economy: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 27(4), pages 641-669, September.
  • Handle: RePEc:bla:jecsur:v:27:y:2013:i:4:p:641-669
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    File URL: http://hdl.handle.net/10.1111/joes.2013.27.issue-4
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    References listed on IDEAS

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    Cited by:

    1. Paul Levine, 2012. "Monetary policy in an uncertain world: probability models and the design of robust monetary rules," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 5(1), pages 70-88, April.
    2. Tyrowicz, Joanna, 2020. "Are incentivized old-age savings schemes effective under incomplete rationality?," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224526, Verein für Socialpolitik / German Economic Association.
    3. Giovanni Di Bartolomeo & Carolina Serpieri, 2018. "Robust Optimal Policies in a Behavioural New Keynesian Model," JRC Research Reports JRC111603, Joint Research Centre (Seville site).
    4. Villarreal, Francisco G., 2014. "Monetary Policy and Inequality in Mexico," MPRA Paper 57074, University Library of Munich, Germany.
    5. Andrea Colciago & Anna Samarina & Jakob de Haan, 2019. "Central Bank Policies And Income And Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(4), pages 1199-1231, September.
    6. Joanna Tyrowicz & Krzysztof Makarski & Artur Rutkowski, 2020. "Fiscal incentives to pension savings – are they efficient?," Working Paper series 20-06, Rimini Centre for Economic Analysis.
    7. Przemysław Włodarczyk, 2016. "Modele reprezentatywnych podmiotów gospodarczych jako narzędzie analizy w nowej syntezie neoklasycznej," Bank i Kredyt, Narodowy Bank Polski, vol. 47(6), pages 553-584.

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    More about this item

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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