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Technology Shock and Employment: Do We Really Need DSGE Models with a Fall in Hours?

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  • Dupaigne, M.
  • Fève, P.
  • Matheron, J.

Abstract

The recent empirical literature that uses Structural Vector Autoregressions (SVAR) has shown that productivity shocks identified using long--run restrictions lead to a persistent and significant decline in hours worked. This evidence calls into question standard RBC models in which a positive technology shock leads to a rise in hours. In this paper, we estimate and test a standard RBC model using Indirect Inference on impulse responses of hours worked after technology and non-technology shocks. We find that this model is not rejected by the data and is able to produce impulse responses in SVAR from simulated data similar to impulse responses in SVAR from actual data. Moreover, technology shocks represent the main contribution to the variance of the business cycle component of output under the estimated DSGE model. Our results suggest that we do not necessarily need DSGE models with a fall in hours to reproduce the results deriving from SVAR models.

Suggested Citation

  • Dupaigne, M. & Fève, P. & Matheron, J., 2005. "Technology Shock and Employment: Do We Really Need DSGE Models with a Fall in Hours?," Working papers 124, Banque de France.
  • Handle: RePEc:bfr:banfra:124
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    Cited by:

    1. Sanvi Avouyi‐Dovi & Julien Matheron, 2007. "Technology Shocks and Monetary Policy: Revisiting the Fed's Performance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 471-507, March.
    2. Patrick Fève, 2005. "Voies de la modélisation macro-économétrique?," Revue Française d'Économie, Programme National Persée, vol. 20(1), pages 147-179.
    3. Mvondo, Thierry, 2021. "Stabilisation et relance macroéconomiques post COVID-19 dans la CEMAC : Quels instruments pour quels effets dans un modèle DSGE ?," Dynare Working Papers 65, CEPREMAP.
    4. Martial Dupaigne & Patrick Feve, 2009. "Technology shocks around the world," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(4), pages 592-607, October.
    5. Sevgi Coskun, 2020. "Technology Shocks and Non-stationary Hours in Emerging Countries and DSVAR," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 14(2), pages 129-163, May.
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    More about this item

    Keywords

    SVARs ; Long--Run Restrictions ; RBC models ; Indirect Inference;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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