IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/16861.html
   My bibliography  Save this paper

Investment Dispersion and the Business Cycle

Author

Listed:
  • Rüdiger Bachmann
  • Christian Bayer

Abstract

We document a new business cycle fact: the cross-sectional standard deviation of firm-level investment (investment dispersion) is robustly and significantly procyclical. This makes investment dispersion different from the dispersion of productivity and output growth, which is countercyclical. Investment dispersion is more procyclical in the goods-producing sectors, for smaller firms and for structures. We show that a heterogeneous-firm real business cycle model with countercyclical idiosyncratic firm risk and non-convex adjustment costs calibrated to match moments of the long-run investment rate distribution, produces a time series correlation coefficient between investment dispersion and aggregate output of 0.58, close to the 0.45 in the data. We argue, more generally, that cross-sectional business cycle dynamics impose tight empirical restrictions on the physical environments and the structural parameters of heterogeneous-firm models.

Suggested Citation

  • Rüdiger Bachmann & Christian Bayer, 2011. "Investment Dispersion and the Business Cycle," NBER Working Papers 16861, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:16861
    Note: EFG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w16861.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Steven J. Davis & John Haltiwanger & Ron Jarmin & Javier Miranda, 2007. "Volatility and Dispersion in Business Growth Rates: Publicly Traded versus Privately Held Firms," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 107-180, National Bureau of Economic Research, Inc.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    3. Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
    4. Ulf von Kalckreuth, 2003. "Exploring the role of uncertainty for corporate investment decisions in Germany," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(II), pages 173-206, June.
    5. Den Haan, Wouter J., 2010. "Assessing the accuracy of the aggregate law of motion in models with heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 34(1), pages 79-99, January.
    6. Amit Gandhi & Salvador Navarro & David Rivers, 2011. "On the Identification of Production Functions: How Heterogeneous is Productivity?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20119, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    7. Bayer, Christian, 2006. "Investment dynamics with fixed capital adjustment cost and capital market imperfections," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1909-1947, November.
    8. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    9. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    10. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    11. Per Krusell & Anthony A. Smith & Jr., 1998. "Income and Wealth Heterogeneity in the Macroeconomy," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 867-896, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ruediger Bachmann & Christian Bayer, 2009. "Firm-Specific Productivity Risk over the Business Cycle: Facts and Aggregate Implications," 2009 Meeting Papers 869, Society for Economic Dynamics.
    2. Christian Bayer & Ruediger Bachmann, 2009. "The Cross-section of Firms over the Business Cycle: New Facts and a DSGE Exploration," 2009 Meeting Papers 866, Society for Economic Dynamics.
    3. Sungki Hong, 2017. "Customer Capital, Markup Cyclicality, and Amplification," Working Papers 2017-33, Federal Reserve Bank of St. Louis.
    4. Bachmann, Rüdiger & Bayer, Christian, 2013. "‘Wait-and-See’ business cycles?," Journal of Monetary Economics, Elsevier, vol. 60(6), pages 704-719.
    5. Emi Nakamura & Jón Steinsson, 2010. "Monetary Non-neutrality in a Multisector Menu Cost Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 961-1013.
    6. Xiao, J., 2016. "Corporate Debt Structure, Precautionary Savings, and Investment Dynamics," Cambridge Working Papers in Economics 1666, Faculty of Economics, University of Cambridge.
    7. Lütticke, Ralph & Bayer, Christian & Pham, Lien & Tjaden, Volker, 2013. "Household Income Risk, Nominal Frictions, and Incomplete Markets," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79868, Verein für Socialpolitik / German Economic Association.
    8. Tomlin, Ben, 2014. "Exchange rate fluctuations, plant turnover and productivity," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 12-28.
    9. Merlin, Giovanni Tondin, 2018. "Entrepreneurship, financial frictions and the welfare gains of business cycles," Textos para discussão 484, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    10. Gian Luca Clementi & Berardino Palazzo, 2016. "Entry, Exit, Firm Dynamics, and Aggregate Fluctuations," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(3), pages 1-41, July.
    11. Joseph Vavra, 2014. "Inflation Dynamics and Time-Varying Volatility: New Evidence and an Ss Interpretation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 215-258.
    12. Christian Bayer & Ralph Luetticke & Lien Pham‐Dao & Volker Tjaden, 2019. "Precautionary Savings, Illiquid Assets, and the Aggregate Consequences of Shocks to Household Income Risk," Econometrica, Econometric Society, vol. 87(1), pages 255-290, January.
    13. Patrick Macnamara, 2015. "Limited Re-Entry And Business Cycles," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 40(4), pages 1-40, December.
    14. Ralph Luetticke, 2021. "Transmission of Monetary Policy with Heterogeneity in Household Portfolios," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(2), pages 1-25, April.
    15. Schündeln, Matthias, 2005. "Modeling Firm Dynamics to Identify the Cost of Financing Constraints in Ghanaian Manufacturing," Proceedings of the German Development Economics Conference, Kiel 2005 29, Verein für Socialpolitik, Research Committee Development Economics.
    16. Basile Grassi & Vasco Carvalho, 2015. "Firm Dynamics and the Granular Hypothesis," 2015 Meeting Papers 617, Society for Economic Dynamics.
    17. Joseph Vavra, 2011. "Inflation Dynamics and Time-Varying Uncertainty: New Evidence and an Ss Interpretation," 2011 Meeting Papers 126, Society for Economic Dynamics.
    18. Matteo Iacoviello, 2008. "Household Debt and Income Inequality, 1963–2003," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 929-965, August.
    19. Daphne Chen & Shi Qi & Don Schlagenhauf, 2018. "Corporate Income Tax, Legal Form of Organization, and Employment," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(4), pages 270-304, October.
    20. Tanaka, Ken'ichiro & Toda, Alexis Akira, 2015. "Discretizing Distributions with Exact Moments: Error Estimate and Convergence Analysis," University of California at San Diego, Economics Working Paper Series qt7g23r5kh, Department of Economics, UC San Diego.

    More about this item

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:16861. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.