IDEAS home Printed from https://ideas.repec.org/p/mcm/deptwp/2015-11.html
   My bibliography  Save this paper

Learning Efficiency Shocks, Knowledge Capital and the Business Cycle : A Bayesian Evaluation

Author

Listed:
  • Alok Johri
  • Muhebullah Karimzada

Abstract

We incorporate shocks to the efficiency by which firms learn from production activity and accumulate knowledge into an otherwise standard real DSGE model with imperfect competition. Using real aggregate data from the United States and Bayesian inference techniques, we find that learning efficiency shocks are an important source of observed variation in the growth rate of aggregate consumption and hours worked in post-war US data. The estimated shock processes suggest much less exogenous variation in preferences and total factor productivity are needed by our model to account for the joint dynamics of consumption and hours. This occurs because learning efficiency shocks induce shifts in labour demand uncorrelated with current TFP, a role usually played by preference shocks. At the same time, knowledge capital acts like an endogenous source of productivity variation in the model. Measures of model fit prefer the specification with learning efficiency shocks.

Suggested Citation

  • Alok Johri & Muhebullah Karimzada, 2015. "Learning Efficiency Shocks, Knowledge Capital and the Business Cycle : A Bayesian Evaluation," Department of Economics Working Papers 2015-11, McMaster University.
  • Handle: RePEc:mcm:deptwp:2015-11
    as

    Download full text from publisher

    File URL: http://socserv.mcmaster.ca/econ/rsrch/papers/archive/2015-11.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stephanie Schmitt‐Grohé & Martín Uribe, 2012. "What's News in Business Cycles," Econometrica, Econometric Society, vol. 80(6), pages 2733-2764, November.
    2. Fabio Canova & Filippo Ferroni & Christian Matthes, 2014. "Choosing The Variables To Estimate Singular Dsge Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1099-1117, November.
    3. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    4. Fabio Canova & Filippo Ferroni, 2011. "Multiple filtering devices for the estimation of cyclical DSGE models," Quantitative Economics, Econometric Society, vol. 2(1), pages 73-98, March.
    5. Iskrev, Nikolay, 2010. "Local identification in DSGE models," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 189-202, March.
    6. Johri, Alok & Letendre, Marc-André & Luo, Daqing, 2011. "Organizational capital and the international co-movement of investment," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 511-523.
    7. Jordi Galí & Mark Gertler & J. David López-Salido, 2007. "Markups, Gaps, and the Welfare Costs of Business Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 44-59, November.
    8. Christopher Gunn & Alok Johri, 2011. "News and knowledge capital," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 92-101, January.
    9. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2010. "Investment shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 132-145, March.
    10. Canova, Fabio & Sala, Luca, 2009. "Back to square one: Identification issues in DSGE models," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 431-449, May.
    11. Helbling, Thomas & Huidrom, Raju & Kose, M. Ayhan & Otrok, Christopher, 2011. "Do credit shocks matter? A global perspective," European Economic Review, Elsevier, vol. 55(3), pages 340-353, April.
    12. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2009. "New Keynesian Models: Not Yet Useful for Policy Analysis," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 242-266, January.
    13. Sherwin Rosen, 1972. "Learning by Experience as Joint Production," The Quarterly Journal of Economics, Oxford University Press, vol. 86(3), pages 366-382.
    14. 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.
    15. Cooper, Russell & Johri, Alok, 2002. "Learning-by-doing and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 49(8), pages 1539-1566, November.
    16. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    17. Clarke, Andrew J., 2006. "Learning-by-doing and aggregate fluctuations: Does the form of the accumulation technology matter?," Economics Letters, Elsevier, vol. 92(3), pages 434-439, September.
    18. Andrew Mountford & Harald Uhlig, 2009. "What are the effects of fiscal policy shocks?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 960-992.
    19. Alok Johri, 2009. "Delivering Endogenous Inertia in Prices and Output," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(4), pages 736-754, October.
    20. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Business Cycle Accounting," Econometrica, Econometric Society, vol. 75(3), pages 781-836, May.
    21. Filipa Sá & Tomasz Wieladek, 2015. "Capital Inflows and the U.S. Housing Boom," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 221-256, March.
    22. Johri, Alok & Lahiri, Amartya, 2008. "Persistent real exchange rates," Journal of International Economics, Elsevier, vol. 76(2), pages 223-236, December.
    23. Dedola, Luca & Neri, Stefano, 2007. "What does a technology shock do? A VAR analysis with model-based sign restrictions," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 512-549, March.
    24. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    25. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    26. Marianne Baxter & Robert G. King, 1991. "Productive externalities and business cycles," Discussion Paper / Institute for Empirical Macroeconomics 53, Federal Reserve Bank of Minneapolis.
    27. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    28. 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.
    29. Nir Jaimovich & Sergio Rebelo, 2009. "Can News about the Future Drive the Business Cycle?," American Economic Review, American Economic Association, vol. 99(4), pages 1097-1118, September.
    30. Christiane Baumeister & Gert Peersman, 2013. "Time-Varying Effects of Oil Supply Shocks on the US Economy," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 1-28, October.
    31. Bahk, Byong-Hong & Gort, Michael, 1993. "Decomposing Learning by Doing in New Plants," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 561-583, August.
    32. Pablo A. Guerron-Quintana, 2010. "What you match does matter: the effects of data on DSGE estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 774-804.
    33. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    34. Andrew Atkeson & Patrick J. Kehoe, 2005. "Modeling and Measuring Organization Capital," Journal of Political Economy, University of Chicago Press, vol. 113(5), pages 1026-1053, October.
    35. 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.
    36. Fabio Canova & David Lopez-Salido & Claudio Michelacci, 2010. "The effects of technology shocks on hours and output: a robustness analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 755-773.
    37. Edward P. Herbst & Frank Schorfheide, 2016. "Bayesian Estimation of DSGE Models," Economics Books, Princeton University Press, edition 1, number 10612.
    38. Prescott, Edward C & Visscher, Michael, 1980. "Organization Capital," Journal of Political Economy, University of Chicago Press, vol. 88(3), pages 446-461, June.
    39. Fernald, John G., 2007. "Trend breaks, long-run restrictions, and contractionary technology improvements," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2467-2485, November.
    40. Clarke, Andrew J. & Johri, Alok, 2009. "Procyclical Solow Residuals Without Technology Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 13(3), pages 366-389, June.
    41. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    42. Haroon Mumtaz & Francesco Zanetti, 2012. "Neutral Technology Shocks And The Dynamics Of Labor Input: Results From An Agnostic Identification," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(1), pages 235-254, February.
    43. Dedola, Luca & Neri, Stefano, 2007. "What does a technology shock do? A VAR analysis with model-based sign restrictions," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 512-549, March.
    44. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    45. Boyan Jovanovic & Yaw Nyarko, 1995. "A Bayesian Learning Model Fitted to a Variety of Empirical Learning Curves," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1995 Micr), pages 247-305.
    46. Alok Johri, 2009. "Delivering Endogenous Inertia in Prices and Output," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(4), pages 736-754, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Learning Efficiency Shocks, Knowledge Capital and the Business Cycle: A Bayesian Evaluation
      by Christian Zimmermann in NEP-DGE blog on 2017-01-31 22:40:35

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Görtz, Christoph & Yeromonahos, Mallory, 2022. "Asymmetries in risk premia, macroeconomic uncertainty and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).

    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. Christopher Gunn & Alok Johri, 2011. "News and knowledge capital," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 92-101, January.
    2. Alok Johri, 2009. "Delivering Endogenous Inertia in Prices and Output," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(4), pages 736-754, October.
    3. Johri, Alok & Letendre, Marc-André & Luo, Daqing, 2011. "Organizational capital and the international co-movement of investment," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 511-523.
    4. Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
    5. Alok Johri & Bidyut Kumar Talukdar, 2011. "Organizational Capital and Optimal Ramsey Taxation," Department of Economics Working Papers 2011-09, McMaster University.
    6. Clarke, Andrew J. & Johri, Alok, 2009. "Procyclical Solow Residuals Without Technology Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 13(3), pages 366-389, June.
    7. Talukdar Bidyut, 2014. "Organizational learning and optimal fiscal and monetary policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 14(1), pages 1-31, January.
    8. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    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. 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.
    11. Fuentes-Albero, Cristina & Kryshko, Maxym & Ríos-Rull, José-Víctor & Santaeulàlia-Llopis, Raül & Schorfheide, Frank, 2009. "Methods versus Substance: Measuring the Effects of Technology Shocks on Hours," CEPR Discussion Papers 7474, C.E.P.R. Discussion Papers.
    12. Johri, Alok & Lahiri, Amartya, 2008. "Persistent real exchange rates," Journal of International Economics, Elsevier, vol. 76(2), pages 223-236, December.
    13. Talukdar, Bidyut, 2017. "Learning-by-doing, organizational capital and optimal markup variations," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 39-47.
    14. Nadav Ben Zeev, 2019. "Is There A Single Shock That Drives The Majority Of Business Cycle Fluctuations?," Working Papers 1906, Ben-Gurion University of the Negev, Department of Economics.
    15. Ben Zeev, Nadav, 2018. "What can we learn about news shocks from the late 1990s and early 2000s boom-bust period?," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 94-105.
    16. Inoue, Atsushi & Kuo, Chun-Hung & Rossi, Barbara, 2020. "Identifying the sources of model misspecification," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 1-18.
    17. Kegiang Hou & Alok Johri, 2013. "Intangible Capital and the Excess Volatility of Aggregate Profits," Department of Economics Working Papers 2013-04, McMaster University.
    18. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2010. "Investment shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 132-145, March.
    19. Maik H. Wolters, 2018. "How the baby boomers' retirement wave distorts model‐based output gap estimates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(5), pages 680-689, August.
    20. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.

    More about this item

    Keywords

    business cycles; learning-by-doing; learning efficiency shocks; knowledge capital.;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:mcm:deptwp:2015-11. 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: . General contact details of provider: https://edirc.repec.org/data/demcmca.html .

    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: (email available below). General contact details of provider: https://edirc.repec.org/data/demcmca.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.