IDEAS home Printed from https://ideas.repec.org/p/hhs/fiefwp/0174.html
   My bibliography  Save this paper

Measures of Technology and the Business Cycle: Evidence from Sweden and the U.S

Author

Listed:
  • Alexius, Annika

    (Trade Union Institute for Economic Research)

  • Carlsson, Mikael

    (Department of Economics)

Abstract

Empirical evidence on the cyclical behavior of technology shocks, or the relative importance of technology shocks versus other structural shocks as sources of fluctuations, hinges crucially on the identification of technological changes. In this paper, we study different measures of technology in order to find out (i) to what extent they capture the same underlying phenomenon and (ii) whether the implications for macroeconomic theory vary between approaches. Several variations of the production function approach and structural VAR models are investigated: the classic Solow residual, the refined Solow residuals of Burnside et al (1995) and Basu and Kimball (1997), large cointegrated VAR models as in King et al (1991) and a small VAR in first differences à la Galí (1999). It turns out that the different measures of technological change are reasonably coherent when applied to US data. However, they are often insignificantly related in the case of Sweden. Furthermore, our results do not support the hypothesis that business cycle fluctuations are primarily drive by changes in technology.

Suggested Citation

  • 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.
  • Handle: RePEc:hhs:fiefwp:0174
    as

    Download full text from publisher

    File URL: http://swopec.hhs.se/fiefwp/papers/WP174.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Prescott, Edward C., 1986. "Theory ahead of business-cycle measurement," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 11-44, January.
    2. 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.
    3. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    4. Richard H. Clarida & Jordi Gali, 1994. "Sources of real exchange rate fluctuations: how important are nominal shocks?," Proceedings, Federal Reserve Bank of Dallas, issue Apr.
    5. 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.
    6. Dolado, Juan J. & Jimeno, Juan F., 1997. "The causes of Spanish unemployment: A structural VAR approach," European Economic Review, Elsevier, vol. 41(7), pages 1281-1307, July.
    7. Hylleberg, Svend & Mizon, Grayham E, 1989. "Cointegration and Error Correction Mechanisms," Economic Journal, Royal Economic Society, vol. 99(395), pages 113-125, Supplemen.
    8. Warne, A., 1993. "A Common Trends Model: Identification, Estimation and Inference," Papers 555, Stockholm - International Economic Studies.
    9. Basu, Susanto & Fernald, John G., 2002. "Aggregate productivity and aggregate technology," European Economic Review, Elsevier, vol. 46(6), pages 963-991, June.
    10. 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.
    11. Rogers, John H., 1999. "Monetary shocks and real exchange rates," Journal of International Economics, Elsevier, vol. 49(2), pages 269-288, December.
    12. 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.
    13. Julio J. Rotemberg & Michael Woodford, 1993. "Dynamic General Equilibrium Models with Imperfectly Competitive Product Markets," NBER Working Papers 4502, National Bureau of Economic Research, Inc.
    14. 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.
    15. Stockman, Alan C., 1994. "Sources of real exchange-rate fluctuations: A comment," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 41(1), pages 57-65, December.
    16. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    17. 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.
    18. Gert Wehinger, 2000. "Causes of Inflation in Europe, the United States and Japan: Some Lessons for Maintaining Price Stability in the EMU from a Structural VAR Approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(1), pages 83-107, March.
    19. 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.
    20. Burnside, Craig, 1996. "Production function regressions, returns to scale, and externalities," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 177-201, April.
    21. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    22. Carlsson, M., 2000. "Measures of Technology and the Short-Run Responses to Technology Shocks - Is the RBC-Model Consistent with Swedish Manufacturing Data?," Papers 2000-20, Uppsala - Working Paper Series.
    23. Trejo, Stephen J, 1993. "Overtime Pay, Overtime Hours, and Labor Unions," Journal of Labor Economics, University of Chicago Press, vol. 11(2), pages 253-278, April.
    24. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
    25. Nordström Skans, Oskar, 2001. "The effects of working time reductions on wages, actual hours and equilibrium unemployment," Working Paper Series 2001:8, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    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. Lundborg, Per, 2005. "Wage Fairness, Growth and the Utilization of R&D Workers," Working Paper Series 206, Trade Union Institute for Economic Research.
    2. Lundborg, Per, 2005. "Wage Theories for the Swedish Labour Market," Working Paper Series 207, Trade Union Institute for Economic Research.
    3. Badri Narayanan, 2010. "Long-run relationship between output, capital, labour and productivity in emerging market economies," Applied Economics, Taylor & Francis Journals, vol. 42(6), pages 759-768.
    4. Selén, Jan & Ståhlberg, Ann-Charlotte, 2004. "Wage and Compensation Inequality — How Different?," Working Paper Series 197, 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. 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.
    2. 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.
    3. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    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 & 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.
    6. 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.
    7. 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.
    8. Jordi Gali & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBS Model Fit Postwar U.S. Data?," NBER Working Papers 10636, National Bureau of Economic Research, Inc.
    9. Alexius, Annika, 2000. "Supply Shocks and Real Exchange Rates," Working Paper Series 117, Sveriges Riksbank (Central Bank of Sweden).
    10. Basu, Susanto & Fernald, John G. & Shapiro, Matthew D., 2001. "Productivity growth in the 1990s: technology, utilization, or adjustment?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 117-165, December.
    11. 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.
    12. 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.
    13. Virgiliu Midrigan, 2010. "Is Firm Pricing State or Time Dependent? Evidence from U.S. Manufacturing," The Review of Economics and Statistics, MIT Press, vol. 92(3), pages 643-656, August.
    14. 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.
    15. John H. Rogers, 1995. "Real shocks and real exchange rates in really long-term data," International Finance Discussion Papers 493, Board of Governors of the Federal Reserve System (U.S.).
    16. Artis, Michael & Ehrmann, Michael, 2006. "The exchange rate - A shock-absorber or source of shocks? A study of four open economies," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 874-893, October.
    17. 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.
    18. Patrick Fève & Alain Guay, 2010. "Identification of Technology Shocks in Structural Vars," Economic Journal, Royal Economic Society, vol. 120(549), pages 1284-1318, December.
    19. Jonas D. M. Fisher, 2002. "Technology shocks matter," Working Paper Series WP-02-14, Federal Reserve Bank of Chicago.
    20. Altug, S. & Filiztekin, A., 1997. "Estimates of the Returns to Scale for US Manufacturing," Papers 1997/24, Koc University.

    More about this item

    Keywords

    Technology shocks; Production function approach; Structural VAR models;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fiefwp:0174. 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: Sune Karlsson (email available below). General contact details of provider: https://edirc.repec.org/data/fieffse.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.