IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Varying Heterogeneity among U.S. Firms: Facts and Implications

Author Info

Listed author(s):
  • Hyunbae Chun

    (Sogang University)

  • Jung-Wook Kim

    (Seoul National University)

  • Randall Morck

    (University of Albert)

Abstract

U.S. firms' stock return volatility rose fivefold from 1971 through 2000 and then reverted to near 1971 levels by 2006. This was driven mainly by a rise and fall in the firm-specific, rather than systematic, component of volatility. Firm-level total factor productivity growth volatility exhibited a similar pattern. We hypothesize that firm heterogeneity, reflected in firm-specific volatility, rises as a new general purpose technology (GPT) propagates across the economy and then ebbs once the GPT is widespread. Measuring GPT adoption by information technology capital intensity, we find robust cross-industry empirical evidence supporting the hypothesis. © 2011 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/REST_a_00099
File Function: link to full text
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by MIT Press in its journal Review of Economics and Statistics.

Volume (Year): 93 (2011)
Issue (Month): 3 (August)
Pages: 1034-1052

as
in new window

Handle: RePEc:tpr:restat:v:93:y:2011:i:3:p:1034-1052
Contact details of provider: Web page: http://mitpress.mit.edu/journals/

Order Information: Web: http://mitpress.mit.edu/journal-home.tcl?issn=00346535

Keywords:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
  2. 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.
  3. John Y. Campbell, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, 02.
  4. Oliner, Stephen D. & Sichel, Daniel E. & Stiroh, Kevin J., 2008. "Explaining a productive decade," Journal of Policy Modeling, Elsevier, vol. 30(4), pages 633-673.
  5. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, Oxford University Press, vol. 117(1), pages 339-376.
  6. Lubos PÁstor & Veronesi Pietro, 2003. "Stock Valuation and Learning about Profitability," Journal of Finance, American Finance Association, vol. 58(5), pages 1749-1790, October.
  7. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
  8. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
  9. Diego Comin & Mark Gertler & Ana Maria Santacreu, 2009. "Technology Innovation and Diffusion as Sources of Output and Asset Price Fluctuations," Harvard Business School Working Papers 09-134, Harvard Business School.
  10. Jeffrey R. Brown & Austan Goolsbee, 2002. "Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 481-507, June.
  11. Miles Parker, 2006. "Diverging Trends in Aggregate and Firm-Level Volatility in the UK," Discussion Papers 16, Monetary Policy Committee Unit, Bank of England.
  12. Hyunbae Chun & M. Ishaq Nadiri, 2008. "Decomposing Productivity Growth in the U.S. Computer Industry," The Review of Economics and Statistics, MIT Press, vol. 90(1), pages 174-180, February.
  13. Luboš Pástor & Pietro Veronesi, 2009. "Technological Revolutions and Stock Prices," American Economic Review, American Economic Association, vol. 99(4), pages 1451-1483, September.
  14. Diego Comin & Sunil Mulani, 2006. "Diverging Trends in Aggregate and Firm Volatility," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 374-383, May.
  15. Fama, Eugene F. & French, Kenneth R., 2004. "New lists: Fundamentals and survival rates," Journal of Financial Economics, Elsevier, vol. 73(2), pages 229-269, August.
  16. Basu, Susanto & Fernald, John G, 1997. "Returns to Scale in U.S. Production: Estimates and Implications," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 249-283, April.
  17. Comin, D., 2000. "An Uncertainty-Driven Theory of the Productivity Slowdown: Manufacturing," Working Papers 00-16, C.V. Starr Center for Applied Economics, New York University.
  18. Kevin J. Stiroh, 2002. "Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?," American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
  19. Chun, Hyunbae & Kim, Jung-Wook & Morck, Randall & Yeung, Bernard, 2008. "Creative destruction and firm-specific performance heterogeneity," Journal of Financial Economics, Elsevier, vol. 89(1), pages 109-135, July.
  20. Michael W. Brandt & Alon Brav & John R. Graham & Alok Kumar, 2010. "The Idiosyncratic Volatility Puzzle: Time Trend or Speculative Episodes?," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 863-899, February.
  21. Robert C. Feenstra & John Romalis & Peter K. Schott, 2002. "U.S. Imports, Exports, and Tariff Data, 1989-2001," NBER Working Papers 9387, National Bureau of Economic Research, Inc.
Full references (including those not matched with items on IDEAS)

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

as
in new window


Cited by:

  1. Hyunbae Chun & Jung-Wook Kim & Randall Morck, 2016. "Productivity growth and stock returns: firm- and aggregate-level analyses," Applied Economics, Taylor & Francis Journals, vol. 48(38), pages 3644-3664, August.
  2. MORIKAWA Masayuki, 2017. "Dispersion and Volatility of TFPQ in Service Industries," Discussion papers 17088, Research Institute of Economy, Trade and Industry (RIETI).
  3. Chun, Hyunbae & Kim, Jung-Wook & Lee, Jason, 2015. "How does information technology improve aggregate productivity? A new channel of productivity dispersion and reallocation," Research Policy, Elsevier, vol. 44(5), pages 999-1016.
  4. Paula Garda & Volker Ziemann, 2014. "Economic Policies and Microeconomic Stability: A Literature Review and Some Empirics," OECD Economics Department Working Papers 1115, OECD Publishing.
  5. Kim Jung-Wook & Chun Hyunbae, 2011. "Technology Shocks and Employment: Evidence from U.S. Firm-Level Data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-23, September.
  6. Marco Corsino & Enrico Zaninotto, 2012. "Revealing the influence of managerial practices and entrepreneurs' characteristics on hotel efficiency," DISA Working Papers 2012/03, Department of Computer and Management Sciences, University of Trento, Italy, revised May 2012.
  7. Chun, Hyunbae & Ha, Joonkyung & Kim, Jung-Wook, 2014. "Firm heterogeneity, R&D, and economic growth," Economic Modelling, Elsevier, vol. 36(C), pages 149-156.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Access and download statistics

When requesting a correction, please mention this item's handle: RePEc:tpr:restat:v:93:y:2011:i:3:p:1034-1052. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kristin Waites)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.