IDEAS home Printed from https://ideas.repec.org/p/red/sed005/513.html
   My bibliography  Save this paper

Learning-by-Doing or Habit Formation?

Author

Listed:
  • Takashi Kano
  • Hafedh Bouakez

    (Economics HEC Montreal)

Abstract

In a recent paper, Chang, Gomes, and Schorfheide (2002) extend the standard real business cycle (RBC) model to allow for a learning-by-doing (LBD) mechanism whereby current labour supply affects future productivity. They show that this feature magnifies the propagation of shocks and improves the matching performance of the standard RBC model. In this paper, the authors show that the LBD model is nearly observationally equivalent to an RBC model with habit formation in labour (or, equivalently, in leisure). Under the same calibration of the parameters, the two models share the same equilibrium paths of output, consumption, and investment, but have different implications for hours worked. Using Bayesian techniques, the authors investigate which of the LBD and habit models fits the U.S. data best. Their results suggest that the habit specification is more strongly supported by the data
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Takashi Kano & Hafedh Bouakez, 2005. "Learning-by-Doing or Habit Formation?," 2005 Meeting Papers 513, Society for Economic Dynamics.
    • Handle: RePEc:red:sed005:513
    as

    Download full text from publisher

    File URL: https://www.red-files-public.s3.amazonaws.com/meetpapers/2005/paper_513.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Hotz, V Joseph & Kydland, Finn E & Sedlacek, Guilherme L, 1988. "Intertemporal Preferences and Labor Supply," Econometrica, Econometric Society, vol. 56(2), pages 335-360, March.
    3. repec:wop:calsdi:97-23 is not listed on IDEAS
    4. Cogley, Timothy & Nason, James M, 1995. "Output Dynamics in Real-Business-Cycle Models," American Economic Review, American Economic Association, vol. 85(3), pages 492-511, June.
    5. Hall, Robert E, 1997. "Macroeconomic Fluctuations and the Allocation of Time," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 223-250, January.
    6. Cooper, Russell & Johri, Alok, 2002. "Learning-by-doing and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 49(8), pages 1539-1566, November.
    7. Rouwenhorst, K. Geert, 1991. "Time to build and aggregate fluctuations : A reconsideration," Journal of Monetary Economics, Elsevier, vol. 27(2), pages 241-254, April.
    8. Nakajima, Tomoyuki, 2005. "A business cycle model with variable capacity utilization and demand disturbances," European Economic Review, Elsevier, vol. 49(5), pages 1331-1360, July.
    9. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    10. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    11. Andreas Beyer & Roger E. A. Farmer, 2004. "On the Indeterminacy of New-Keynesian Economics," Computing in Economics and Finance 2004 152, Society for Computational Economics.
    12. Yongsung Chang & Sun-Bin Kim, 2004. "Heterogeneity and aggregation in the labor market : implications for aggregate preference shifts," Working Paper 03-17, Federal Reserve Bank of Richmond.
    13. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Business Cycle Accounting," Econometrica, Econometric Society, vol. 75(3), pages 781-836, May.
    14. John Geweke, 1999. "Using simulation methods for bayesian econometric models: inference, development,and communication," Econometric Reviews, Taylor & Francis Journals, vol. 18(1), pages 1-73.
    15. Garey Ramey & Wouter J. den Haan & Joel Watson, 2000. "Job Destruction and Propagation of Shocks," American Economic Review, American Economic Association, vol. 90(3), pages 482-498, June.
    16. Martin S. Eichenbaum & Lars Peter Hansen & Kenneth J. Singleton, 1988. "A Time Series Analysis of Representative Agent Models of Consumption and Leisure Choice Under Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 103(1), pages 51-78.
    17. Yongsung Chang & Joao F. Gomes & Frank Schorfheide, 2002. "Learning-by-Doing as a Propagation Mechanism," American Economic Review, American Economic Association, vol. 92(5), pages 1498-1520, December.
    18. repec:dgr:kubcen:199554 is not listed on IDEAS
    19. 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.
    20. Johri, Alok & Letendre, Marc-Andre, 2007. "What do `residuals' from first-order conditions reveal about DGE models?," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2744-2773, August.
    21. John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.
    22. Bover, Olympia, 1991. "Relaxing Intertemporal Separability: A Rational Habits Model of Labor Supply Estimated from Panel Data," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 85-100, January.
    23. Martin Lettau & Harald Uhlig, 2000. "Can Habit Formation be Reconciled with Business Cycle Facts?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(1), pages 79-99, January.
    24. Andolfatto, David, 1996. "Business Cycles and Labor-Market Search," American Economic Review, American Economic Association, vol. 86(1), pages 112-132, March.
    25. Yun, Tack, 1996. "Nominal price rigidity, money supply endogeneity, and business cycles," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 345-370, April.
    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. Fève, P. & Matheron, J., 2005. "Can the Kydland--Prescott Model Pass the Cogley--Nason Test?," Working papers 125, Banque de France.
    2. Johri, Alok & Letendre, Marc-Andre, 2007. "What do `residuals' from first-order conditions reveal about DGE models?," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2744-2773, August.
    3. Keqiang Hou & Alok Johri, 2009. "Intangible Capital, Corporate Earnings and the Business Cycle," Department of Economics Working Papers 2009-17, McMaster University.
    4. A. Johri & M-A. Letendre, 2001. "Labour Market Dynamics in RBC Models," Department of Economics Working Papers 2001-03, McMaster University.
    5. Yongsung Chang & Joao F. Gomes & Frank Schorfheide, 2002. "Learning-by-Doing as a Propagation Mechanism," American Economic Review, American Economic Association, vol. 92(5), pages 1498-1520, December.
    6. Alok Johri & Muhebullah Karimzada, 2021. "Learning efficiency shocks, knowledge capital and the business cycle: A Bayesian evaluation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(3), pages 1314-1360, November.
    7. Clarke, Andrew J. & Johri, Alok, 2009. "Procyclical Solow Residuals Without Technology Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 13(3), pages 366-389, June.
    8. Kegiang Hou & Alok Johri, 2013. "Intangible Capital and the Excess Volatility of Aggregate Profits," Department of Economics Working Papers 2013-04, McMaster University.
    9. Keqiang Hou & Alok Johri, 2018. "Intangible Capital, the Labor Wedge and the Volatility of Corporate Profits," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 216-234, July.
    10. Otrok, Christopher, 2001. "On measuring the welfare cost of business cycles," Journal of Monetary Economics, Elsevier, vol. 47(1), pages 61-92, February.
    11. Yi Wen, 2005. "By force of demand: explaining international comovements and the saving-investment correlation puzzle," Working Papers 2005-043, Federal Reserve Bank of St. Louis.
    12. Rebei, Nooman, 2014. "What (really) accounts for the fall in hours after a technology shock?," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 330-352.
    13. Johri, Alok & Lahiri, Amartya, 2008. "Persistent real exchange rates," Journal of International Economics, Elsevier, vol. 76(2), pages 223-236, December.
    14. Avouyi-Dovi, S. & Matheron, J. & Fève, P., 2007. "Les modèles DSGE – leur intérêt pour les banques centrales," Bulletin de la Banque de France, Banque de France, issue 161, pages 41-54.
    15. Wen, Yi, 2007. "By force of demand: Explaining international comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 1-23, January.
    16. Barañano Mentxaka, Ilaski & Moral Zuazo, María Paz, 2007. "Consumption-Leisure Trade-offs and Persistency in Business Cycles," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    17. Adnan Haider Bukhari & Safdar Ullah Khan, 2008. "A Small Open Economy DSGE Model for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 963-1008.
    18. Del Negro, Marco & Schorfheide, Frank, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1191-1208, October.
    19. Martial Dupaigne & Patrick Feve & Julien Matheron, 2007. "Technology Shocks, Non-stationary Hours and DSVAR," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(2), pages 238-255, April.
    20. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).

    More about this item

    Keywords

    Learning-by-doing; Habit formation; Bayesian analysis;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:red:sed005:513. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.