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Technology Shocks and the Labor-Input Response: Evidence from Firm-Level Data

Author

Listed:
  • Carlsson, Mikael

    (Research Department, Central Bank of Sweden)

  • Smedsaas, Jon

    (Department of Economics)

Abstract

We study the relationship between technology shocks and labor input on Swedish firm-level data using a production function approach to identify technology shocks. Taking standard steps yields a contractionary contemporaneous labor-input response in line with previous studies. This finding may, however, be driven by measurement errors in the labor-input variable. Relying on a unique feature of our data set, which contains two independently measured firm-specific labor input measures, we can evaluate the potential bias. We do not find any evidence supporting that this bias would conceal any true positive contemporaneous effect. The results thus point away from standard flexible-price models and towards models emphasizing firm-level rigidities.

Suggested Citation

  • Carlsson, Mikael & Smedsaas, Jon, 2006. "Technology Shocks and the Labor-Input Response: Evidence from Firm-Level Data," Working Paper Series 198, Sveriges Riksbank (Central Bank of Sweden).
    • Handle: RePEc:hhs:rbnkwp:0198
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    References listed on IDEAS

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    1. 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.
    2. Klette, Tor Jakob & Griliches, Zvi, 1996. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 343-361, July-Aug..
    3. 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.
    4. 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.
    5. John G. Fernald, 2005. "Trend breaks, long-run restrictions, and the contractionary effects of technology improvements," Working Paper Series 2005-21, Federal Reserve Bank of San Francisco.
    6. 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.
    7. 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.
    8. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    9. 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.
    10. repec:bla:scandj:v:105:y:2003:i:4:p:555-579 is not listed on IDEAS
    11. Michael Dotsey, 2002. "Structure from shocks," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 37-47.
    12. Ramey, Valerie A & Francis, Neville, 2002. "Is The Technology-Driven Real Business Cycle Hypothesis Dead? Shocks and Aggregate Fluctuations Revisted," University of California at San Diego, Economics Working Paper Series qt6x80k3nx, Department of Economics, UC San Diego.
    13. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
    14. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
    15. 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.
    16. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    17. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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    Cited by:

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    2. Mikael Carlsson & Julián Messina & Oskar Nordström Skans, 2016. "Wage Adjustment and Productivity Shocks," Economic Journal, Royal Economic Society, vol. 126(595), pages 1739-1773, September.
    3. KWON Hyeog Ug & Jun-Hyung KO, 2013. "Do Technology Shocks Lower Hours Worked? Evidence from the Japan Industrial Productivity Database," Discussion papers 13018, Research Institute of Economy, Trade and Industry (RIETI).
    4. Gottfries, Nils & Mickelsson, Glenn & Stadin, Karolina, 2018. "Deep Dynamics," Working Paper Series 2018:10, Uppsala University, Department of Economics.
    5. Inyoung Park & Jieon Lee & Jungwoo Nam & Yuri Jo & Daeho Lee, 2022. "Which networking strategy improves ICT startup companies' technical efficiency?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2434-2443, September.
    6. Carlsson, Mikael & Messina, Julián & Nordström Skans, Oskar, 2014. "Firm-level shocks and labor adjustments," Working Paper Series 2014:28, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    7. Catherine Fuss & Ladislav Wintr, 2012. "Rigid Wages and Flexible Employment ?Contrasting Responses to Firm-Level and Sector-Level Productivity Developments," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 55(3), pages 241-268.
    8. Stadin, Karolina, 2012. "Vacancy Matching and Labor Market Conditions," Working Paper Series 2012:16, Uppsala University, Department of Economics.
    9. Francesco Furlanetto & Martin Seneca, 2012. "Rule‐of‐Thumb Consumers, Productivity, and Hours," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(2), pages 658-679, June.
    10. Nils Gottfries & Glenn Mickelsson & Karolina Stadin, 2021. "Deep Dynamics," CESifo Working Paper Series 8873, CESifo.
    11. Fuss, Catherine & Wintr, Ladislav, 2009. "Rigid labour compensation and flexible employment? Firm-level evidence with regard to productivity for Belgium," Working Paper Series 1021, European Central Bank.
    12. 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.
    13. Beate Schirwitz, 2013. "Business Fluctuations, Job Flows and Trade Unions - Dynamics in the Economy," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 47.
    14. Mehmet Ugur & Sefa Awaworyi Churchill & Edna Solomon, 2018. "Technological Innovation And Employment In Derived Labour Demand Models: A Hierarchical Meta†Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 50-82, February.
    15. Ko, Jun-Hyung & Kwon, Hyeog Ug, 2015. "Do technology shocks lower hours worked? – Evidence from Japanese industry level data," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 138-157.
    16. Stadin, Karolina, 2015. "Firms’ employment dynamics and the state of the labor market," Working Paper Series 2015:20, IFAU - Institute for Evaluation of Labour Market and Education Policy.

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    More about this item

    Keywords

    Technology Shocks; Labor Input; Business Fluctuations; Micro Data;
    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

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