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Long Run Productivity Risk and Aggregate Investment

Author

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  • Favilukis, Jack

    (London School of Economics and Political Science)

  • Lin, Xiaoji

    (OH State University)

Abstract

We study the implications of long-run risk type shocks--shocks to the growth rate of productivity--for aggregate investment in a DSGE model. Our model offers an alternative to microfrictions explanation of aggregate investment non-linearities, in particular the heteroscedasticity of investment rate. Additionally, consistent with the data, these shocks imply that investment rate is history dependent (rising through an expansion), investment rate growth is positively autocorrelated, and is positively correlated with output growth at various leads and lags. A standard model with shocks to the level of productivity either predicts the opposite or fails to quantitatively capture these features in the data.

Suggested Citation

  • Favilukis, Jack & Lin, Xiaoji, 2012. "Long Run Productivity Risk and Aggregate Investment," Working Paper Series 2012-14, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
  • Handle: RePEc:ecl:ohidic:2012-14
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    References listed on IDEAS

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    Cited by:

    1. Giordano, Claire & Giugliano, Ferdinando, 2015. "A tale of two Fascisms: Labour productivity growth and competition policy in Italy, 1911–1951," Explorations in Economic History, Elsevier, vol. 55(C), pages 25-38.
    2. Wang, Zhen & Subramanian, Nachiappan & Gunasekaran, Angappa & Abdulrahman, Muhammad D. & Liu, Chang, 2015. "Composite sustainable manufacturing practice and performance framework: Chinese auto-parts suppliers׳ perspective," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 219-233.
    3. Ram Yamarthy & Amir Yaron & Joao Gomes, 2015. "Carlstrom and Fuerst meets Epstein and Zin: The Asset Pricing Implications of Contracting Frictions," 2015 Meeting Papers 1267, Society for Economic Dynamics.
    4. Coelho, B. & Andrade-Campos, A., 2014. "Efficiency achievement in water supply systems—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 59-84.
    5. Thien Nguyen & Steve Raymond & Lukas Schmid & Mariano Croce, 2016. "Government Debt and the Returns to Innovation," 2016 Meeting Papers 1443, Society for Economic Dynamics.
    6. Chen, Yunmin & Chien, YiLi & Yang, C.C., 2015. "Individual and Aggregate Constrained Efficient Intertemporal Wedges in Dynamic Mirrleesian Economies," Working Papers 2015-43, Federal Reserve Bank of St. Louis, revised 01 Apr 2016.

    More about this item

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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