IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Methods versus substance: Measuring the effects of technology shocks

  • Ríos-Rull, José-Víctor
  • Schorfheide, Frank
  • Fuentes-Albero, Cristina
  • Kryshko, Maxym
  • Santaeulàlia-Llopis, Raül

Calibration and modern (Bayesian) estimation methods for a neoclassical stochastic growth model are applied to make the case that the identification of key parameters, rather than quantitative methodologies per se, is responsible for empirical findings. For concreteness, the model is used to measure the contributions of technology shocks to the business cycle fluctuations of hours worked and output. Along the way, new insights are provided in the parameter identification associated with likelihood-based estimation, the sensitivity of likelihood-based estimation to the choice of structural shocks is assessed, and Bayesian model averaging is used to aggregate findings obtained from different DSGE model specifications.

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:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 59 (2012)
Issue (Month): 8 ()
Pages: 826-846

in new window

Handle: RePEc:eee:moneco:v:59:y:2012:i:8:p:826-846
DOI: 10.1016/j.jmoneco.2012.10.008
Contact details of provider: Web page:

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. Yongsung Chang & Sun-Bin Kim, 2006. "From Individual To Aggregate Labor Supply: A Quantitative Analysis Based On A Heterogeneous Agent Macroeconomy ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(1), pages 1-27, 02.
  2. Mark W. Watson, 1991. "Measures of Fit for Calibrated Models," NBER Technical Working Papers 0102, National Bureau of Economic Research, Inc.
  3. MaCurdy, Thomas E, 1981. "An Empirical Model of Labor Supply in a Life-Cycle Setting," Journal of Political Economy, University of Chicago Press, vol. 89(6), pages 1059-85, December.
  4. Trabandt, Mathias & Uhlig, Harald, 2006. "How Far Are We From the Slippery Slope? The Laffer Curve Revisited," CEPR Discussion Papers 5657, C.E.P.R. Discussion Papers.
  5. Canova, Fabio & Sala, Luca, 2009. "Back to square one: identification issues in DSGE models," CEPR Discussion Papers 7234, C.E.P.R. Discussion Papers.
  6. Chetty, Nadarajan & Weber, Andrea & Guren, Adam Michael & Day, Manoli, 2011. "Are Micro and Macro Labor Supply Elasticities Consistent? A Review of Evidence on the Intensive and Extensive Margins," Scholarly Articles 11878970, Harvard University Department of Economics.
  7. Richard Rogerson, 2010. "Indivisible Labor, Lotteries and Equilibrium," Levine's Working Paper Archive 250, David K. Levine.
  8. Kydland, Finn E., 1984. "Labor-force heterogeneity and the business cycle," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 21(1), pages 173-208, January.
  9. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
  10. Pau Rabanal & Juan Rubio-Ramirez & Diego Vilan & Federico Mandelman, 2010. "Investment-Specific Technology Shocks and International Business Cycles: An Empirical Assessment," 2010 Meeting Papers 1175, Society for Economic Dynamics.
  11. Zheng Liu, 2009. "Sources of the Great Moderation: Shocks, Frictions, or Monetary Policy?," 2009 Meeting Papers 379, Society for Economic Dynamics.
  12. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
  13. Marco Del Negro & Frank Schorfheide, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Staff Reports 320, Federal Reserve Bank of New York.
  14. V V Chari & Patrick J Kehoe & Ellen R. McGrattan, 2003. "Business Cycle Accounting," Levine's Bibliography 506439000000000421, UCLA Department of Economics.
  15. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper Series WP-01-08, Federal Reserve Bank of Chicago.
  16. Hamish Low, 2005. "Self-Insurance in a Life-Cycle Model of Labor Supply and Savings," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(4), pages 945-975, October.
  17. Dridi, Ramdan & Guay, Alain & Renault, Eric, 2007. "Indirect inference and calibration of dynamic stochastic general equilibrium models," Journal of Econometrics, Elsevier, vol. 136(2), pages 397-430, February.
  18. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-17, June.
  19. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2009. "Consumption and labor supply with partial insurance: an analytical framework," Staff Report 432, Federal Reserve Bank of Minneapolis.
  20. Gourieroux, C & Monfort, A & Renault, E, 1993. "Indirect Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages S85-118, Suppl. De.
  21. Frank Smets & Raf Wouters, 2002. "An estimated dynamic stochastic general equilibrium model of the euro area," Working Paper Research 35, National Bank of Belgium.
  22. Robert G. King & Sergio T. Rebelo, 2000. "Resuscitating Real Business Cycles," RCER Working Papers 467, University of Rochester - Center for Economic Research (RCER).
  23. Iskrev, Nikolay, 2010. "Local identification in DSGE models," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 189-202, March.
  24. Jonathan Heathcote, 2003. "The Macroeconomic Implications of Rising Wage Inequality in the United States," Working Papers gueconwpa~03-03-19, Georgetown University, Department of Economics.
  25. Kydland, Finn E & Prescott, Edward C, 1991. "Hours and Employment Variation in Business Cycle Theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 1(1), pages 63-81, January.
  26. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 2000. "The role of investment-specific technological change in the business cycle," European Economic Review, Elsevier, vol. 44(1), pages 91-115, January.
  27. Altonji, Joseph G, 1986. "Intertemporal Substitution in Labor Supply: Evidence from Micro Data," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages S176-S215, June.
  28. Rios-Rull, Jose-Victor, 1993. "Working in the Market, Working at Home, and the Acquisition of Skills: A General-Equilibrium Approach," American Economic Review, American Economic Association, vol. 83(4), pages 893-907, September.
  29. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2009. "Investment Shocks and Business Cycles," NBER Working Papers 15570, National Bureau of Economic Research, Inc.
  30. Ivana Komunjer & Serena Ng, 2011. "Dynamic Identification of Dynamic Stochastic General Equilibrium Models," Econometrica, Econometric Society, vol. 79(6), pages 1995-2032, November.
  31. Smith, A A, Jr, 1993. "Estimating Nonlinear Time-Series Models Using Simulated Vector Autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages S63-84, Suppl. De.
  32. 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.
  33. Hall, Robert E, 1997. "Macroeconomic Fluctuations and the Allocation of Time," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages S223-50, January.
  34. Finn E. Kydland & Edward C. Prescott, 1994. "The computational experiment: an econometric tool," Working Paper 9420, Federal Reserve Bank of Cleveland.
  35. Gary Hansen, 2010. "Indivisible Labor and the Business Cycle," Levine's Working Paper Archive 233, David K. Levine.
  36. Marianne Baxter & Dorsey Farr, 2001. "Variable Factor Utilization and International Business Cycles," NBER Working Papers 8392, National Bureau of Economic Research, Inc.
  37. Domeij, David & Floden, Martin, 2001. "The labor-supply elasticity and borrowing constraints: Why estimates are biased," SSE/EFI Working Paper Series in Economics and Finance 480, Stockholm School of Economics.
  38. 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.
  39. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
  40. Michael P. Keane & Richard Rogerson, 2012. "Reconciling Micro and Macro Labor Supply Elasticities: A Structural Perspective," Economics Papers 2012-W12, Economics Group, Nuffield College, University of Oxford.
  41. Jordi Galí & Pau Rabanal, 2005. "Technology Shocks and Aggregate Fluctuations: How Well Does the Real Business Cycle Model Fit Postwar U.S. Data?," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 225-318 National Bureau of Economic Research, Inc.
  42. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  43. Pablo A. Guerron, 2007. "What You Match Does Matter: The Effects of Data on DSGE Estimation," Working Paper Series 012, North Carolina State University, Department of Economics.
  44. Rothenberg, Thomas J, 1971. "Identification in Parametric Models," Econometrica, Econometric Society, vol. 39(3), pages 577-91, May.
  45. Sebastian Dyrda & Greg Kaplan & José-Víctor Ríos-Rull, 2012. "Business Cycles and Household Formation: The Micro vs the Macro Labor Elasticity," NBER Working Papers 17880, National Bureau of Economic Research, Inc.
  46. Robert Shimer, 2009. "Convergence in Macroeconomics: The Labor Wedge," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 280-97, January.
  47. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  48. Christopher A. Sims, 1996. "Macroeconomics and Methodology," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 105-120, Winter.
  49. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
  50. Browning, Martin & Deaton, Angus & Irish, Margaret, 1985. "A Profitable Approach to Labor Supply and Commodity Demands over the Life-Cycle," Econometrica, Econometric Society, vol. 53(3), pages 503-43, May.
  51. Ríos-Rull, José-Víctor & Santaeulàlia-Llopis, Raül, 2010. "Redistributive shocks and productivity shocks," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 931-948, November.
  52. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models—Rejoinder," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 211-219.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:moneco:v:59:y:2012:i:8:p:826-846. 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: (Shamier, Wendy)

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.