IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v59y2020i6d10.1007_s00181-019-01740-2.html
   My bibliography  Save this article

Conditional growth volatility and sectoral comovement in U.S. industrial production, 1828–1915

Author

Listed:
  • Gustavo Freire

    (EPGE Brazilian School of Economics and Finance)

  • Marcelo Resende

    (Universidade Federal do Rio de Janeiro)

Abstract

This article investigates conditional growth volatility for industrial production in the U.S. during 1828–1915, taking as a reference sectoral and aggregate indexes constructed in connection to Davis (Quart J Econ 119:1177–1215, 2004). The period includes the major shock represented by the Civil War with the associated resource allocation distortions. The evidence mostly suggests high persistence in conditional volatility as would be found in later studies for the U.S. on GDP growth volatility. However, the evidence of asymmetric volatility appears to be more localized and salient examples of a stronger role of negative shocks on volatility can be identified in the cases of the textile, machinery and metals sectors that might have been more vulnerable to the Civil War. As for interindustry linkages, a complementary factor analysis suggests that the communality changes between the antebellum and postbellum eras. The relative importance of the aggregate shocks increased considerably after the Civil War. This indicates that the Civil War had significant effects in raising the cross-correlation between most sectors, suggesting substantial changes in the basic productive relationships in U.S. 19th century economy.

Suggested Citation

  • Gustavo Freire & Marcelo Resende, 2020. "Conditional growth volatility and sectoral comovement in U.S. industrial production, 1828–1915," Empirical Economics, Springer, vol. 59(6), pages 3063-3084, December.
  • Handle: RePEc:spr:empeco:v:59:y:2020:i:6:d:10.1007_s00181-019-01740-2
    DOI: 10.1007/s00181-019-01740-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00181-019-01740-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00181-019-01740-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Broadberry S. N., 1994. "Comparative Productivity in British and American Manufacturing during the Nineteenth Century," Explorations in Economic History, Elsevier, vol. 31(4), pages 521-548, October.
    2. Hamori, Shigeyuki, 2000. "Volatility of real GDP: some evidence from the United States, the United Kingdom and Japan," Japan and the World Economy, Elsevier, vol. 12(2), pages 143-152, May.
    3. Davis, Joseph H. & Irwin, Douglas A., 2008. "The antebellum U.S. iron industry: Domestic production and foreign competition," Explorations in Economic History, Elsevier, vol. 45(3), pages 254-269, July.
    4. Kevin J. Stiroh, 2009. "Volatility Accounting: A Production Perspective on Increased Economic Stability," Journal of the European Economic Association, MIT Press, vol. 7(4), pages 671-696, June.
    5. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    6. Bhar, Ramaprasad & Hamori, Shigeyuki, 2003. "Alternative characterization of the volatility in the growth rate of real GDP," Japan and the World Economy, Elsevier, vol. 15(2), pages 223-231, April.
    7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    8. Ho, Kin-Yip & Tsui, Albert K. C., 2003. "Asymmetric volatility of real GDP: some evidence from Canada, Japan, the United Kingdom and the United States," Japan and the World Economy, Elsevier, vol. 15(4), pages 437-445, December.
    9. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    10. Davis, Joseph & Weidenmier, Marc D., 2017. "America's First Great Moderation," The Journal of Economic History, Cambridge University Press, vol. 77(4), pages 1116-1143, December.
    11. Stephen G Cecchetti & Alfonso Flores-Lagunes & Stefan Krause, 2005. "Assessing the Sources of Changes in the Volatility of Real Growth," RBA Annual Conference Volume (Discontinued), in: Christopher Kent & David Norman (ed.),The Changing Nature of the Business Cycle, Reserve Bank of Australia.
    12. Ho, Kin Yip & Tsui, Albert K.C., 2004. "Analysis of real GDP growth rates of greater China: An asymmetric conditional volatility approach," China Economic Review, Elsevier, vol. 15(4), pages 424-442.
    13. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    14. Christina D. Romer, 1991. "The Cyclical Behavior of Individual Production Series, 1889–1984," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(1), pages 1-31.
    15. French, Mark W & Sichel, Daniel E, 1993. "Cyclical Patterns in the Variance of Economic Activity," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 113-119, January.
    16. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    17. Wen-Shwo Fang & Stephen M. Miller, 2008. "The Great Moderation and The Relationship between Output Growth and Its Volatility," Southern Economic Journal, John Wiley & Sons, vol. 74(3), pages 819-838, January.
    18. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    19. Miron, Jeffrey A. & Romer, Christina D., 1990. "A New Monthly Index of Industrial Production, 1884–1940," The Journal of Economic History, Cambridge University Press, vol. 50(2), pages 321-337, June.
    20. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    21. Goldin, Claudia D. & Lewis, Frank D., 1975. "The Economic Cost of the American Civil War: Estimates and Implications," The Journal of Economic History, Cambridge University Press, vol. 35(2), pages 299-326, June.
    22. Go Tamakoshi & Shigeyuki Hamori, 2014. "Greek sovereign bond index, volatility, and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 687-697, October.
    23. Kin-Yip Ho & Albert K. Tsui & Zhaoyong Zhang, 2013. "Conditional Volatility Asymmetry Of Business Cycles: Evidence From Four Oecd Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(3), pages 33-56, September.
    24. Broadberry, Stephen N., 1998. "How Did the United States and Germany Overtake Britian? A Sectoral Analysis of Comparative Productivity Levels, 1870–1990," The Journal of Economic History, Cambridge University Press, vol. 58(2), pages 375-407, June.
    25. Broadberry, Stephen N. & Irwin, Douglas A., 2006. "Labor productivity in the United States and the United Kingdom during the nineteenth century," Explorations in Economic History, Elsevier, vol. 43(2), pages 257-279, April.
    26. Calomiris, Charles W. & Hanes, Christopher, 1994. "Consistent Output Series for the Antebellum and Postbellum Periods: Issues and Preliminary Results," The Journal of Economic History, Cambridge University Press, vol. 54(2), pages 409-422, June.
    27. Bera, Anil K & Higgins, Matthew L, 1993. "ARCH Models: Properties, Estimation and Testing," Journal of Economic Surveys, Wiley Blackwell, vol. 7(4), pages 305-366, December.
    28. Joseph H. Davis, 2004. "An Annual Index of U. S. Industrial Production, 1790–1915," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(4), pages 1177-1215.
    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. WenShwo Fang & Stephen M. Miller, 2014. "Output Growth and its Volatility: The Gold Standard through the Great Moderation," Southern Economic Journal, John Wiley & Sons, vol. 80(3), pages 728-751, January.
    2. Fang, WenShwo & Miller, Stephen M., 2009. "Modeling the volatility of real GDP growth: The case of Japan revisited," Japan and the World Economy, Elsevier, vol. 21(3), pages 312-324, August.
    3. Kin-Yip Ho & Albert K. Tsui & Zhaoyong Zhang, 2009. "Volatility Dynamics of the UK Business Cycle: a Multivariate Asymmetric Garch Approach," Economie Internationale, CEPII research center, issue 117, pages 31-46.
    4. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, September.
    5. Go Tamakoshi & Shigeyuki Hamori, 2014. "Greek sovereign bond index, volatility, and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 687-697, October.
    6. Samih Antoine Azar & Angelic Salha, 2017. "The Bias in the Long Run Relation between the Prices of BRENT and West Texas Intermediate Crude Oils," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 44-54.
    7. Altaf Muhammad & Zhang Shuguang, 2015. "Impact Of Structural Shifts on Variance Persistence in Asymmetric Garch Models: Evidence From Emerging Asian and European Markets," Romanian Statistical Review, Romanian Statistical Review, vol. 63(1), pages 57-70, March.
    8. Jorge M. Andraz & Nélia M. Norte, 2017. "Gross domestic product growth, volatility and regime changes nexus: the case of Portugal," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(1), pages 1-16, April.
    9. Amélie Charles & Olivier Darné, 2021. "Econometric history of the growth–volatility relationship in the USA: 1919–2017," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 15(2), pages 419-442, May.
    10. Amélie Charles & Olivier Darné & Laurent Ferrara, 2018. "Does The Great Recession Imply The End Of The Great Moderation? International Evidence," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 745-760, April.
    11. Caporale, Guglielmo Maria & Kontonikas, Alexandros, 2009. "The Euro and inflation uncertainty in the European Monetary Union," Journal of International Money and Finance, Elsevier, vol. 28(6), pages 954-971, October.
    12. Lan-Fen Chu & Michael McAleer & Chi-Chung Chen, 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?," Journal of Reviews on Global Economics, Lifescience Global, vol. 1, pages 1-12.
    13. Mahua Barari & Nityananda Sarkar & Srikanta Kundu & Kushal Banik Chowdhury, 2014. "Forecasting House Prices in the United States with Multiple Structural Breaks," International Econometric Review (IER), Econometric Research Association, vol. 6(1), pages 1-23, April.
    14. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
    15. Chu, L. & McAleer, M.J. & Chen, C-C., 2009. "How Volatile is ENSO?," Econometric Institute Research Papers EI 2009-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. repec:dgr:rugsom:14030-gem is not listed on IDEAS
    17. Amélie Charles & Olivier Darné & Laurent Ferrara, 2018. "Does The Great Recession Imply The End Of The Great Moderation? International Evidence," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 745-760, April.
    18. Giorgio Canarella & WenShwo Fang & Stephen M. Miller & Stephen K. Pollard, 2008. "Is the Great Moderation Ending? UK and US Evidence," Working Papers 0801, University of Nevada, Las Vegas , Department of Economics.
    19. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, April.
    20. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    21. WenShwo Fang & Stephen M. Miller & ChunShen Lee, 2008. "Cross‐Country Evidence On Output Growth Volatility: Nonstationary Variance And Garch Models," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(4), pages 509-541, September.

    More about this item

    Keywords

    Growth volatility; Industrial production; EGARCH model; Civil war; Factor analysis;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • N11 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - U.S.; Canada: Pre-1913

    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:spr:empeco:v:59:y:2020:i:6:d:10.1007_s00181-019-01740-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.