IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Learning by Doing as a Propagation Mechanism

  • Yongsung Chang

    (University of Pennsylvania)

  • Joao Gomes

    (University of Pennsylvania)

  • Frank Schorfheide

    (University of Pennsylvania)

This paper suggests that skill accumulation through past work experience, or ``learning-by-doing'' (LBD), can provide an important propagation mechanism in a dynamic stochastic general equilibrium model, as the current labor supply affects future productivity. Our econometric analysis uses a Bayesian approach to combine micro-level panel data with aggregate time series. Formal model evaluation shows that the introduction of the LBD mechanism improves the model's ability to fit the dynamics of aggregate output and hours.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://128.118.178.162/eps/mac/papers/0204/0204002.pdf
Download Restriction: no

Paper provided by EconWPA in its series Macroeconomics with number 0204002.

as
in new window

Length:
Date of creation: 01 May 2002
Date of revision:
Handle: RePEc:wpa:wuwpma:0204002
Note: Type of Document - pdf; prepared on IBM-PC; to print on HP;
Contact details of provider: Web page: http://128.118.178.162

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Capital Utilization and Returns to Scale," NBER Working Papers 5125, National Bureau of Economic Research, Inc.
  2. Willis, Robert J., 1987. "Wage determinants: A survey and reinterpretation of human capital earnings functions," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 10, pages 525-602 Elsevier.
  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 655-73, September.
  4. Wouter J. den Haan & Garey Ramey & Joel Watson, 1997. "Job Destruction and Propagation of Shocks," NBER Working Papers 6275, National Bureau of Economic Research, Inc.
  5. Louis S. Jacobson & Robert J. LaLonde & Daniel Sullivan, 1992. "Earnings Losses of Displaced Workers," Upjohn Working Papers and Journal Articles 92-11, W.E. Upjohn Institute for Employment Research.
  6. Matthew D. Shapiro & Mark W. Watson, 1988. "Sources of Business Cycle Fluctuations," NBER Working Papers 2589, National Bureau of Economic Research, Inc.
  7. John Geweke, 1999. "Computational Experiments and Reality," Computing in Economics and Finance 1999 401, Society for Computational Economics.
  8. Andolfatto, David, 1996. "Business Cycles and Labor-Market Search," American Economic Review, American Economic Association, vol. 86(1), pages 112-32, March.
  9. Edward C. Prescott, 1986. "Theory ahead of business cycle measurement," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall, pages 9-22.
  10. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.
  11. Topel, Robert H, 1991. "Specific Capital, Mobility, and Wages: Wages Rise with Job Seniority," Journal of Political Economy, University of Chicago Press, vol. 99(1), pages 145-76, February.
  12. Timothy Cogley & James M. Nason, 1993. "Output dynamics in real business cycle models," Working Papers in Applied Economic Theory 93-10, Federal Reserve Bank of San Francisco.
  13. Gilbert Ghez & Gary S. Becker, 1975. "The Allocation of Time and Goods over the Life Cycle," NBER Books, National Bureau of Economic Research, Inc, number ghez75-1, November.
  14. Susanto Basu & John G. Fernald, 1995. "Aggregate productivity and the productivity of aggregates," International Finance Discussion Papers 532, Board of Governors of the Federal Reserve System (U.S.).
  15. Perli, Roberto & Sakellaris, Plutarchos, 1998. "Human capital formation and business cycle persistence," Journal of Monetary Economics, Elsevier, vol. 42(1), pages 67-92, June.
  16. Burnside, Craig & Eichenbaum, Martin, 1996. "Factor-Hoarding and the Propagation of Business-Cycle Shocks," American Economic Review, American Economic Association, vol. 86(5), pages 1154-74, December.
  17. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
  18. Russell Cooper & Alok Johri, 1999. "Learning by Doing and Aggregate Fluctuations," NBER Working Papers 6898, National Bureau of Economic Research, Inc.
  19. Altug, Sumru & Miller, Robert A, 1998. "The Effect of Work Experience on Female Wages and Labour Supply," Review of Economic Studies, Wiley Blackwell, vol. 65(1), pages 45-85, January.
  20. DeJong, David N & Ingram, Beth Fisher & Whiteman, Charles H, 1996. "A Bayesian Approach to Calibration," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 1-9, January.
  21. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
  22. Parkin, Michael, 1988. "A method for determining whether parameters in aggregative models are structural," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 29(1), pages 215-252, January.
  23. Michael J. Pries, 2004. "Persistence of Employment Fluctuations: A Model of Recurring Job Loss," Review of Economic Studies, Oxford University Press, vol. 71(1), pages 193-215.
  24. David N. DeJong & Beth F. Ingram, 2001. "The Cyclical Behavior of Skill Acquisition," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(3), pages 536-561, July.
  25. Martin Browning & Lars Peter Hansen & James J. Heckman, 1999. "Micro Data and General Equilibrium Models," Discussion Papers 99-10, University of Copenhagen. Department of Economics.
  26. Jesus Fernández-Villaverde & Juan F. Rubio-Ramírez, 2001. "Comparing dynamic equilibrium economies to data," Working Paper 2001-23, Federal Reserve Bank of Atlanta.
  27. Lars Peter Hansen & James J. Heckman, 1996. "The Empirical Foundations of Calibration," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 87-104, Winter.
Full references (including those not matched with items on IDEAS)

This item is featured on the following reading lists or Wikipedia pages:

  1. Learning-by-Doing as a Propagation Mechanism (AER 2002) in ReplicationWiki
  2. Canadian Macro Study Group

When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpma:0204002. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.