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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. Ramey, Valerie A & Francis, Neville, 2002. "Is The Technology-Driven Real Business Cycle Hypothesis Dead? Shocks and Aggregate Fluctuations Revisted," University of California at San Diego, Economics Working Paper Series qt6x80k3nx, Department of Economics, UC San Diego.
    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. 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.
    28. 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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