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Interpreting Shocks to the Relative Price of Investment with a Two-Sector Model

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Abstract

Consumption and investment comove over the business cycle in response to shocks that permanently move the price of investment. The interpretation of these shocks has relied on standard one-sector models or on models with two or more sectors that can be aggregated. However, the same interpretation continues to go through in models that cannot be aggregated into a standard one-sector model. Furthermore, such a two-sector model with distinct factor input shares across production sectors and commingling of sectoral outputs in the assembly of final consumption and investment goods, in line with the U.S. Input-Output Tables, has implications for aggregate variables. It yields a closer match to the empirical evidence of positive comovement for consumption and investment.

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  • Luca Guerrieri & Dale W. Henderson & Jinill Kim, 2016. "Interpreting Shocks to the Relative Price of Investment with a Two-Sector Model," Finance and Economics Discussion Series 2016-7, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2016-07
    DOI: 10.17016/FEDS.2016.007
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    1. Been‐Lon Chen & Shian‐Yu Liao, 2018. "Durable Goods, Investment Shocks, and the Comovement Problem," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 377-406, March.
    2. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-442, October.
    3. Luca Guerrieri & Dale Henderson & Jinill Kim, 2014. "Modeling Investment‐Sector Efficiency Shocks: When Does Disaggregation Matter?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 891-917, August.
    4. Eusepi, Stefano & Preston, Bruce, 2015. "Consumption heterogeneity, employment dynamics and macroeconomic co-movement," Journal of Monetary Economics, Elsevier, vol. 71(C), pages 13-32.
    5. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2010. "Investment shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 132-145, March.
    6. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 2000. "The role of investment-specific technological change in the business cycle," European Economic Review, Elsevier, vol. 44(1), pages 91-115, January.
    7. Luca Guerrieri & Dale Henderson & Jinill Kim, 2014. "Modeling Investment‐Sector Efficiency Shocks: When Does Disaggregation Matter?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55, pages 891-917, August.
    8. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
    9. Alejandro Justiniano & Giorgio E. Primiceri, 2008. "The Time-Varying Volatility of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 98(3), pages 604-641, June.
    10. Munechika Katayama & Kwang Hwan Kim, 2010. "Costly Labor Reallocation, Non-Separable Preferences, and Expectation Driven Business Cycles," Departmental Working Papers 2010-05, Department of Economics, Louisiana State University.
    11. Paul Beaudry & Bernd Lucke, 2010. "Letting Different Views about Business Cycles Compete," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 413-455, National Bureau of Economic Research, Inc.
    12. Stephanie Schmitt-Grohe & Martin Uribe, 2011. "Business Cycles With A Common Trend in Neutral and Investment-Specific Productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 122-135, January.
    13. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    14. Nir Jaimovich & Sergio Rebelo, 2009. "Can News about the Future Drive the Business Cycle?," American Economic Review, American Economic Association, vol. 99(4), pages 1097-1118, September.
    15. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005. "Can Long-Run Restrictions Identify Technology Shocks?," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December.
    16. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    17. G. Peersman & R. Straub, 2006. "Putting the New Keynesian Model to a Test," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/375, Ghent University, Faculty of Economics and Business Administration.
    18. Khan, Hashmat & Tsoukalas, John, 2011. "Investment shocks and the comovement problem," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 115-130, January.
    19. Reza, Abeer, 2014. "Consumption response to investment shocks under financial frictions," Economics Letters, Elsevier, vol. 123(1), pages 50-53.
    20. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : II. New directions," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 309-341.
    21. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
    22. Faust, Jon & Leeper, Eric M, 1997. "When Do Long-Run Identifying Restrictions Give Reliable Results?," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 345-353, July.
    23. Cooley, Thomas F. & Dwyer, Mark, 1998. "Business cycle analysis without much theory A look at structural VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 57-88.
    24. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : I. The basic neoclassical model," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 195-232.
    25. Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454-454, October.
    26. Dimitris Papanikolaou, 2011. "Investment Shocks and Asset Prices," Journal of Political Economy, University of Chicago Press, vol. 119(4), pages 639-685.
    27. Furlanetto, Francesco & Seneca, Martin, 2014. "Investment shocks and consumption," European Economic Review, Elsevier, vol. 66(C), pages 111-126.
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    Cited by:

    1. Moura, Alban, 2021. "Are neutral and investment-specific technology shocks correlated?," European Economic Review, Elsevier, vol. 139(C).

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    More about this item

    Keywords

    DSGE Models; Long-Run Restrictions; multisector models; vector autoregressions;
    All these keywords.

    JEL classification:

    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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