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How beneficial was the Great Moderation after all?
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How beneficial was the Great Moderation after all?

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  • Pancrazi, Roberto

Abstract

This paper computes the welfare effect of the Great Moderation, using a representative-agent consumption-based asset pricing model. The Great Moderation is modeled according to the data properties of consumption and dividend growth rates, which display a reduction of their innovation-volatility and increased persistence: the latter is a characteristic that has been largely unaddressed in the literature. The theoretical model (a long-run risk model) is calibrated to match average asset pricing variables, as well as consumption and dividend dynamics before and during the Great Moderation. The model captures the relevant features of the Great Moderation (decreased variance, increased persistence, asset prices). It predicts only a modest welfare gain from Great Moderation (0.38 percent in consumption equivalent), due mainly to the utility cost of a late uncertainty resolution.

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  • Pancrazi, Roberto, 2014. "How beneficial was the Great Moderation after all?," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 73-90.
    • Handle: RePEc:eee:dyncon:v:46:y:2014:i:c:p:73-90
    DOI: 10.1016/j.jedc.2014.06.010
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    Cited by:

    1. Giuliano Curatola & Michael Donadelli & Patrick Gruning & Christoph Meinerding, 2016. "Investment-Specific Shocks, Business Cycles, and Asset Prices," Bank of Lithuania Working Paper Series 36, Bank of Lithuania.
    2. Guglielmo Maria Caporale & Michael Donadelli & Alessia Varani, 2014. "International Capital Markets Structure, Preferences and Puzzles: The US-China Case," Discussion Papers of DIW Berlin 1362, DIW Berlin, German Institute for Economic Research.
    3. Pancrazi, Roberto, 2015. "The heterogeneous Great Moderation," European Economic Review, Elsevier, vol. 74(C), pages 207-228.
    4. Donadelli, Michael & Paradiso, Antonio, 2014. "Does financial integration affect real exchange rate volatility and cross-country equity market returns correlation?," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 206-220.
    5. Benchimol, Jonathan & Qureshi, Irfan, 2020. "Time-varying money demand and real balance effects," Economic Modelling, Elsevier, vol. 87(C), pages 197-211.
    6. Pancrazi, Roberto & Vukotic, Marija, 2012. "Technology Persistence and Monetary Policy," Economic Research Papers 270536, University of Warwick - Department of Economics.
    7. Ibrahim N Ouattara & Balakissa Kone, 2023. "The effect of exchange rate on the money demand: evidence from ECOWAS countries," Economics Bulletin, AccessEcon, vol. 43(4), pages 1565-1580.
    8. Curatola, Giuliano & Donadelli, Michael & Grüning, Patrick, 2015. "Matching the BRIC equity premium: A structural approach," Emerging Markets Review, Elsevier, vol. 22(C), pages 65-75.
    9. Curatola, Giuliano & Donadelli, Michael & Gioffré, Alessandro & Grüning, Patrick, 2015. "Austerity, fiscal uncertainty, and economic growth: Insights from fiscally weak EU countries," SAFE Working Paper Series 56, Leibniz Institute for Financial Research SAFE, revised 2015.
    10. Nlemfu Mukoko, Jean Blaise, 2016. "On the Welfare Costs of Monetary Policy," MPRA Paper 72479, University Library of Munich, Germany, revised Jul 2016.
    11. Caporale, Guglielmo Maria & Donadelli, Michael & Varani, Alessia, 2015. "International capital markets structure, preferences and puzzles: A “US–China World”," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 85-99.
    12. Eurilton Araújo, 2016. "Monetary Policy Credibility and the Comovement between Stock Returns and Inflation," Working Papers Series 449, Central Bank of Brazil, Research Department.

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    More about this item

    Keywords

    Great Moderation; Welfare; Long-run risk; Asset pricing;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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