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Spectral Welfare Cost Functions

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  • Otrok, Christopher

Abstract

If preferences are not time-separable, economic agents care not only about the magnitude of fluctuations in consumption but also about the persistence and other temporal characteristics of those fluctuations. This paper extends and develops the theory of spectral utility functions, which measure utility frequency by frequency, to illustrate the interaction between consumption volatility and time-non-separable preferences. To highlight the economic implications of the interaction, spectral welfare cost functions are developed to provide a quantitative measure of the importance to economic agents of the temporal delivery of consumption volatility.

Suggested Citation

  • Otrok, Christopher, 2001. "Spectral Welfare Cost Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(2), pages 345-367, May.
    • Handle: RePEc:ier:iecrev:v:42:y:2001:i:2:p:345-67
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    Cited by:

    1. Kalyvitis Sarantis & Panopoulou Ekaterini, 2013. "Estimating C-CAPM and the equity premium over the frequency domain," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 551-571, December.
    2. Ionel Birgean & Lutz Kilian, 2002. "Data-Driven Nonparametric Spectral Density Estimators For Economic Time Series: A Monte Carlo Study," Econometric Reviews, Taylor & Francis Journals, vol. 21(4), pages 449-476.
    3. Brock, William A. & Durlauf, Steven N. & Nason, James M. & Rondina, Giacomo, 2007. "Simple versus optimal rules as guides to policy," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1372-1396, July.
    4. Otrok, Christopher, 2001. "On measuring the welfare cost of business cycles," Journal of Monetary Economics, Elsevier, vol. 47(1), pages 61-92, February.
    5. Otrok, Christopher & Ravikumar, B. & Whiteman, Charles H., 2002. "Habit formation: a resolution of the equity premium puzzle?," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1261-1288, September.
    6. Okubo, Masakatsu, 2023. "Model uncertainty, economic development, and welfare costs of business cycles," Journal of Macroeconomics, Elsevier, vol. 76(C).
    7. William A. Brock & Steven N. Durlauf, 2004. "Elements of a Theory of Design Limits to Optimal Policy," Manchester School, University of Manchester, vol. 72(s1), pages 1-18, September.
    8. Pancrazi, Roberto, 2014. "How beneficial was the Great Moderation after all?," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 73-90.
    9. Pancrazi, Roberto, 2015. "The heterogeneous Great Moderation," European Economic Review, Elsevier, vol. 74(C), pages 207-228.
    10. Dück, Alexander & Verona, Fabio, 2023. "Robust frequency-based monetary policy rules," IMFS Working Paper Series 180, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    11. Beatrice Pataracchia, 2008. "Design Limits in Regime-Switching Cases," Department of Economics University of Siena 529, Department of Economics, University of Siena.
    12. Yu, Xiangrong, 2013. "Measurement error and policy evaluation in the frequency domain," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 307-329.
    13. Brock, William A. & Durlauf, Steven N. & Rondina, Giacomo, 2013. "Design limits and dynamic policy analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2710-2728.
    14. Pataracchia, Beatrice, 2011. "The spectral representation of Markov switching ARMA models," Economics Letters, Elsevier, vol. 112(1), pages 11-15, July.
    15. Roger Bowden & Jennifer Zhu, 2010. "Multi-scale variation, path risk and long-term portfolio management," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 783-796.

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