IDEAS home Printed from https://ideas.repec.org/p/hhs/uunewp/2000_020.html
   My bibliography  Save this paper

Measures of Technology and the Short-Run Responses to Technology Shocks - Is the RBC-Model Consistent with Swedish Manufacturing Data?

Author

Listed:
  • Carlsson, Mikael

    (Department of Economics)

Abstract

This paper estimates technology growth using several variants of the Hall (1988, 1990) method on data for Swedish two-digit manufacturing industries. More specifically, I first apply and evaluate two different approaches to control for varying factor utilization developed by Basu et al. (1998) and Burnside et al. (1995). Second, I propose a generalization of the latter specification. Finally, the cyclical behavior of the resulting technology measure is studied and the responses of hours and output to a technology shock are estimated using a variant of the standard VAR-approach. The main finding is that a positive technology shock has, on impact, a contractionary effect on hours and non-expansionary effect on output. This finding is inconsistent with the predictions of the standard real business cycle model.

Suggested Citation

  • Carlsson, Mikael, 2000. "Measures of Technology and the Short-Run Responses to Technology Shocks - Is the RBC-Model Consistent with Swedish Manufacturing Data?," Working Paper Series 2000:20, Uppsala University, Department of Economics.
    • Handle: RePEc:hhs:uunewp:2000_020
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-442, October.
    2. Basu, Susanto & Fernald, John G., 1995. "Are apparent productive spillovers a figment of specification error?," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 165-188, August.
    3. Susanto Basu, 1996. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 719-751.
    4. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
    5. Nelson, Charles R & Startz, Richard, 1990. "The Distribution of the Instrumental Variables Estimator and Its t-Ratio When the Instrument Is a Poor One," The Journal of Business, University of Chicago Press, vol. 63(1), pages 125-140, January.
    6. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    7. 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.
    8. Kimball, Miles S, 1995. "The Quantitative Analytics of the Basic Neomonetarist Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 1241-1277, November.
    9. Ohlsson, Henry & Vredin, Anders, 1996. " Political Cycles and Cyclical Policies," Scandinavian Journal of Economics, Wiley Blackwell, vol. 98(2), pages 203-218, June.
    10. Lilien, David M, 1982. "Sectoral Shifts and Cyclical Unemployment," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 777-793, August.
    11. Burnside, Craig & Eichenbaum, Martin, 1996. "Factor-Hoarding and the Propagation of Business-Cycle Shocks," American Economic Review, American Economic Association, vol. 86(5), pages 1154-1174, December.
    12. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    13. Hall, Alastair R & Rudebusch, Glenn D & Wilcox, David W, 1996. "Judging Instrument Relevance in Instrumental Variables Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 283-298, May.
    14. 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.
    15. Shea, J., 1990. "Accident Rates, Labor Effort And The Business Cycle," Working papers 90-28, Wisconsin Madison - Social Systems.
    16. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    17. Anxo, Dominique & Sterner, Thomas, 1994. "Using electricity data to measure capital utilization," Energy Economics, Elsevier, vol. 16(1), pages 63-74, January.
    18. Susanto Basu & John Fernald, 2001. "Why Is Productivity Procyclical? Why Do We Care?," NBER Chapters, in: New Developments in Productivity Analysis, pages 225-302, National Bureau of Economic Research, Inc.
    19. Dufwenberg, Martin & Koskenkyla, Heikki & Sodersten, Jan, 1994. " Manufacturing Investment and Taxation in the Nordic Countries," Scandinavian Journal of Economics, Wiley Blackwell, vol. 96(3), pages 443-461.
    20. Costello, Donna M, 1993. "A Cross-Country, Cross-Industry Comparison of Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 207-222, April.
    21. repec:zbw:bofrdp:1994_008 is not listed on IDEAS
    22. Wilson, Daniel J., 2000. "Estimating Returns to Scale: Lo, Still No Balance," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 285-314, April.
    23. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Capital Utilization and Returns to Scale," NBER Chapters, in: NBER Macroeconomics Annual 1995, Volume 10, pages 67-124, National Bureau of Economic Research, Inc.
    24. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    25. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    26. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    27. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
    28. Burnside, Craig & Eichenbaum, Martin & Rebelo, Sergio, 1993. "Labor Hoarding and the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 245-273, April.
    29. Hall, Robert E, 1988. "The Relation between Price and Marginal Cost in U.S. Industry," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 921-947, October.
    30. Burnside, Craig, 1996. "Production function regressions, returns to scale, and externalities," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 177-201, April.
    31. Ramey, Valerie A, 1989. "Inventories as Factors of Production and Economic Fluctuations," American Economic Review, American Economic Association, vol. 79(3), pages 338-354, June.
    32. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
    33. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Galí, Jordi & Rabanal, Pau, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Post-War US Data?," CEPR Discussion Papers 4522, C.E.P.R. Discussion Papers.
    2. Chahnez Boudaya, 2006. "Stage-specific technology shocks and employment :could we reconcile with the RBC models?," Cahiers de la Maison des Sciences Economiques v06043, Université Panthéon-Sorbonne (Paris 1).
    3. Chahnez Boudaya, 2005. "The effects of technological innovations on employment: a new explanation," Post-Print halshs-00193600, HAL.
    4. Annika Alexius & Mikael Carlsson, 2005. "Measures of Technology and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 299-307, May.
    5. Marcin Kolasa, 2008. "Productivity, innovation and convergence in Poland1," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 16(3), pages 467-501, July.
    6. Alexius, Annika & Carlsson, Mikael, 2001. "Measures of Technology and the Business Cycle: Evidence from Sweden and the U.S," Working Paper Series 174, Trade Union Institute for Economic Research.

    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. Susanto Basu & John Fernald, 2001. "Why Is Productivity Procyclical? Why Do We Care?," NBER Chapters, in: New Developments in Productivity Analysis, pages 225-302, National Bureau of Economic Research, Inc.
    2. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Capital Utilization and Returns to Scale," NBER Chapters, in: NBER Macroeconomics Annual 1995, Volume 10, pages 67-124, National Bureau of Economic Research, Inc.
    3. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
    4. Susanto Basu, 1998. "Technology and business cycles; how well do standard models explain the facts?," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 42(Jun), pages 207-269.
    5. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
    6. Brandt, Nicola, 2007. "Mark-ups, economies of scale and the role of knowledge spillovers in OECD industries," European Economic Review, Elsevier, vol. 51(7), pages 1708-1732, October.
    7. John G. Fernald & J. Christina Wang, 2016. "Why Has the Cyclicality of Productivity Changed? What Does It Mean?," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 465-496, October.
    8. Jim Malley & Anton Muscatelli & Ulrich Woitek, 1999. "Real Business Cycles or Sticky Prices? The Impact of Technology Shocks on US Manufacturing," Working Papers 1999_15, Business School - Economics, University of Glasgow.
    9. Annika Alexius & Mikael Carlsson, 2005. "Measures of Technology and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 299-307, May.
    10. Marchetti, Domenico J. & Nucci, Francesco, 2005. "Price stickiness and the contractionary effect of technology shocks," European Economic Review, Elsevier, vol. 49(5), pages 1137-1163, July.
    11. Robert Inklaar, 2007. "Cyclical Productivity in Europe and the United States: Evaluating the Evidence on Returns to Scale and Input Utilization," Economica, London School of Economics and Political Science, vol. 74(296), pages 822-841, November.
    12. Basu, Susanto & Fernald, John G., 2002. "Aggregate productivity and aggregate technology," European Economic Review, Elsevier, vol. 46(6), pages 963-991, June.
    13. Alexius, Annika & Carlsson, Mikael, 2001. "Measures of Technology and the Business Cycle: Evidence from Sweden and the U.S," Working Paper Series 174, Trade Union Institute for Economic Research.
    14. Wilson, Daniel J., 2000. "Estimating Returns to Scale: Lo, Still No Balance," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 285-314, April.
    15. Domenico J. Marchetti & Francesco Nucci, 2007. "Pricing Behavior and the Response of Hours to Productivity Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1587-1611, October.
    16. Burnside, Craig, 1996. "Production function regressions, returns to scale, and externalities," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 177-201, April.
    17. Sharon G. Harrison, 2003. "Returns to Scale and Externalities in the Consumption and Investment Sectors," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 963-976, October.
    18. King, Robert G. & Rebelo, Sergio T., 1999. "Resuscitating real business cycles," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 14, pages 927-1007, Elsevier.
    19. Jaimovich, Nir & Floetotto, Max, 2008. "Firm dynamics, markup variations, and the business cycle," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1238-1252, October.
    20. Marianne Baxter & Dorsey D. Farr, 2001. "The Effects of Variable Capital Utilization on the Measurement and Properties of Sectoral Productivity: Some International Evidence," NBER Working Papers 8475, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    technological change; cyclical factor utilization; business fluctuations; panel data; manufacturing;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

    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:hhs:uunewp:2000_020. 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: Ulrika Öjdeby (email available below). General contact details of provider: https://edirc.repec.org/data/nekuuse.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.