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Measuring international business cycles by saving for a rainy day

Author

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  • Mario J. Crucini
  • Mototsugu Shintani

Abstract

Macroeconomics inevitably begins with a trend‐cycle decomposition of a nation's output. We propose a decomposition in which consumption is the trend component and savings is the cycle component. Using data from the G‐7 plus Australia, we show that this decomposition identifies international business cycles that are: (i) more volatile, (ii) of longer mean duration and (iii) less correlated across countries than the cycle component from the Hodrick‐Prescott filter. We argue that this difference stems from the fact that our method imposes a basic theoretical restriction arising from the permanent income hypothesis similar to the restriction used in Cochrane's decomposition. Mesurer les cycles d’affaires internationaux par l’épargne. Les travaux en macroéconomie commencent inévitablement par une décomposition du profil de la production nationale en tendance et cycles. Les auteurs proposent une décomposition où la composante consommation est la tendance, et l’épargne est la composante cyclique. Utilisant les données du G‐7 et de l’Australie, on montre que cette décomposition identifie les cycles d’affaires internationaux qui sont (i) plus volatiles, (ii) d’une durée moyenne plus longue, et (iii) moins co‐reliés entre pays que la composante cyclique à la Hodrick‐Prescott. Les auteurs suggèrent que la différence provient du fait que leur méthode impose une restriction théorique de base émergent de l’hypothèse du revenu permanent semblable à la restriction utilisée dans la décomposition à la Cochrane.

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  • Mario J. Crucini & Mototsugu Shintani, 2015. "Measuring international business cycles by saving for a rainy day," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(4), pages 1266-1290, November.
  • Handle: RePEc:wly:canjec:v:48:y:2015:i:4:p:1266-1290
    DOI: 10.1111/caje.12146
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    Cited by:

    1. Chen, Kan & Crucini, Mario J., 2016. "Trends and cycles in small open economies: making the case for a general equilibrium approach," Journal of Economic Dynamics and Control, Elsevier, vol. 72(C), pages 159-168.
    2. Kan Chen & Mario Crucini, 2016. "Trends & Cycles in Small Open Economies:Making the Case for a General Equilibrium Approach," Working Papers 16/12, BBVA Bank, Economic Research Department.
    3. Martínez-García Enrique, 2018. "Modeling time-variation over the business cycle (1960–2017): an international perspective," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-25, December.
    4. David Amdur & Eylem Ersal Kiziler, 2014. "Trend shocks and the countercyclical U.S. current account," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(2), pages 494-516, May.

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • 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
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles

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