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Inventory Shocks and the Great Moderation

Author

Listed:
  • James Morley

    (University of New South Wales)

  • Aarti Singh

    (University of Sydney)

Abstract

Why did the volatility of U.S. real GDP decline by more than the volatility of final sales with the Great Moderation in the mid-1980s? One explanation is that firms shifted their inventory behavior towards a greater emphasis on production smoothing. We investigate the role of inventories in the Great Moderation by estimating an unobserved components model that identifies inventory and sales shocks and their propagation in the aggregate data. Our estimates provide no support for increased production smoothing. Instead, smaller transitory inventory shocks are responsible for the excess volatility reduction in output compared to sales. These shocks behave like informational errors related to production that must be set in advance and their reduction also helps explain the changed forecasting role of inventories since the mid-1980s. Our findings provide an optimistic prognosis for a continuation of the Great Moderation, despite the dramatic movements in output during the recent economic crisis.

Suggested Citation

  • James Morley & Aarti Singh, 2015. "Inventory Shocks and the Great Moderation," Discussion Papers 2012-42B, School of Economics, The University of New South Wales.
  • Handle: RePEc:swe:wpaper:2012-42b
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    File URL: http://research.economics.unsw.edu.au/RePEc/papers/2012-42.pdf
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    Cited by:

    1. Yunjong Eo & James Morley, 2015. "Likelihood‐ratio‐based confidence sets for the timing of structural breaks," Quantitative Economics, Econometric Society, vol. 6(2), pages 463-497, July.
    2. Pierre Perron & Yohei Yamamoto, 2022. "The great moderation: updated evidence with joint tests for multiple structural changes in variance and persistence," Empirical Economics, Springer, vol. 62(3), pages 1193-1218, March.
    3. Arpita Chatterjee & James Morley & Aarti Singh, 2017. "Full Information Estimation of Household Income Risk and Consumption Insurance," Discussion Papers 2017-07, School of Economics, The University of New South Wales.
    4. Richard Higgins, C., 2020. "Financial frictions and changing macroeconomic volatility," Journal of Macroeconomics, Elsevier, vol. 64(C).
    5. Arpita Chatterjee & James Morley & Aarti Singh, 2021. "Estimating household consumption insurance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 628-635, August.
    6. Kenneth D. West, 2017. "Hansen and Sargent's Recursive Models of Dynamic Linear Economies: A Review Essay," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 173-181, March.
    7. Higgins, C. Richard, 2017. "Estimating general equilibrium models with stochastic volatility and changing parameters," Economic Modelling, Elsevier, vol. 66(C), pages 163-170.

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    More about this item

    Keywords

    Great Moderation; inventories; production smoothing; unobserved components model;
    All these keywords.

    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
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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