IDEAS home Printed from https://ideas.repec.org/p/fip/fedfwp/2013-32.html
   My bibliography  Save this paper

Shocks and Adjustments

Author

Listed:
  • Mary C. Daly
  • John G. Fernald
  • Òscar Jordà
  • Fernanda Nechio

Abstract

We develop a multisector model in which capital and labor are free to move across firms within each sector, but cannot move across sectors. To isolate the role of sectoral specificity, we compare our model with otherwise identical multisector economies with either economy-wide factor markets (as in Chari et al. 2000) or firm-specific factor markets (as in Woodford 2005). Sectoral specificity induces within-sector strategic substitutability and across-sector strategic complementarity in price setting. Our model can produce either more or less monetary non-neutrality than those other two models, depending on the distribution of price rigidity across sectors. Under the empirical distribution for the U.S., our model behaves similarly to an economy with firm-specific factors in the short-run, and later on approaches the dynamics of the model with economy-wide factor markets. This is consistent with the idea that factor price equalization might take place gradually over time, so that firm-specificity might be a reasonable short-run approximation, whereas economy-wide markets might be a better description of how factors of production are allocated in the longer run.

Suggested Citation

  • Mary C. Daly & John G. Fernald & Òscar Jordà & Fernanda Nechio, 2013. "Shocks and Adjustments," Working Paper Series 2013-32, Federal Reserve Bank of San Francisco.
  • Handle: RePEc:fip:fedfwp:2013-32
    DOI: 10.24148/wp2013-32
    as

    Download full text from publisher

    File URL: http://www.frbsf.org/economic-research/files/wp2013-32.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.24148/wp2013-32?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jordi Galí & Thijs van Rens, 2021. "The Vanishing Procyclicality of Labour Productivity [Why have business cycle fluctuations become less volatile?]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 302-326.
    2. Ryan Greenaway-McGrevy, 2011. "Is GDP or GDI a better measure of output? A statistical approach," BEA Working Papers 0076, Bureau of Economic Analysis.
    3. Daniel Aaronson & Daniel G. Sullivan, 2002. "Growth in worker quality," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Feb.
    4. Luca Gambetti & Jordi Galí, 2009. "On the Sources of the Great Moderation," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 26-57, January.
    5. Prachowny, Martin F J, 1993. "Okun's Law: Theoretical Foundations and Revised Estimates," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 331-336, May.
    6. Hamilton, James D., 2011. "Nonlinearities And The Macroeconomic Effects Of Oil Prices," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 364-378, November.
    7. Kevin J. Stiroh, 2009. "Volatility Accounting: A Production Perspective on Increased Economic Stability," Journal of the European Economic Association, MIT Press, vol. 7(4), pages 671-696, June.
    8. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    9. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    10. Charles R. Hulten & Edwin R. Dean & Michael J. Harper, 2001. "New Developments in Productivity Analysis," NBER Books, National Bureau of Economic Research, Inc, number hult01-1, March.
    11. S. Boragan Aruoba & Francis X. Diebold & Jeremy J. Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP measurement: a forecast combination perspective," Working Papers 11-41, Federal Reserve Bank of Philadelphia.
    12. Ramey, Valerie A. & Shapiro, Matthew D., 1998. "Costly capital reallocation and the effects of government spending," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 48(1), pages 145-194, June.
    13. Susanto Basu & John Fernald, 2001. "Why Is Productivity Procyclical? Why Do We Care?," NBER Chapters, in: New Developments in Productivity Analysis, pages 225-302, National Bureau of Economic Research, Inc.
    14. Laurence M. Ball & Daniel Leigh & Prakash Loungani, 2013. "Okun's Law: Fit at Fifty?," NBER Working Papers 18668, National Bureau of Economic Research, Inc.
    15. Barnichon, Regis, 2010. "Productivity and unemployment over the business cycle," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 1013-1025, November.
    16. Valerie A. Ramey, 2011. "Identifying Government Spending Shocks: It's all in the Timing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 1-50.
    17. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
    18. Lewis, Richard & Reinsel, Gregory C., 1985. "Prediction of multivariate time series by autoregressive model fitting," Journal of Multivariate Analysis, Elsevier, vol. 16(3), pages 393-411, June.
    19. Hamilton, James D & Herrera, Ana Maria, 2004. "Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy: Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 265-286, April.
    20. Robert J. Gordon, 1998. "Foundations of the Goldilocks Economy: Supply Shocks and the Time-Varying NAIRU," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(2), pages 297-346.
    21. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    22. Plosser, Charles I. & Schwert, G. William, 1979. "Potential GNP: Its measurement and significance : A dissenting opinion," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 10(1), pages 179-186, January.
    23. Pao-Li Chang & Shinichi Sakata, 2007. "Estimation of impulse response functions using long autoregression," Econometrics Journal, Royal Economic Society, vol. 10(2), pages 453-469, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Mendieta-Muñoz, Ivan, 2017. "On The Interaction Between Economic Growth And Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 21(4), pages 982-1022, June.
    2. John G. Fernald & Robert E. Hall & James H. Stock & Mark W. Watson, 2017. "The Disappointing Recovery of Output after 2009," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 1-81.
    3. Mary C. Daly & John G. Fernald & Òscar Jordà & Fernanda Nechio, 2014. "Labour Markets in the Global Financial Crisis: The Good, the Bad and the Ugly," National Institute Economic Review, National Institute of Economic and Social Research, vol. 228(1), pages 58-64, May.
    4. Elva Bova & Christina Kolerus & Sampawende Tapsoba, 2015. "A fiscal job? An analysis of fiscal policy and the labor market," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-17, December.
    5. Foroni, Claudia & Furlanetto, Francesco, 2022. "Explaining Deviations from Okun's Law," CEPR Discussion Papers 17369, C.E.P.R. Discussion Papers.
    6. Robert Anderton & Boele Bonthuis, 2015. "Downward Wage Rigidities in the Euro Area," Discussion Papers 2015-09, University of Nottingham, GEP.

    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. J. Christina Wang, 2014. "Vanishing procyclicality of productivity?: industry evidence," Working Papers 14-15, Federal Reserve Bank of Boston.
    2. John G. Fernald & J. Christina Wang, 2016. "Why Has the Cyclicality of Productivity Changed? What Does It Mean?," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 465-496, October.
    3. 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.
    4. Andrew E. Evans, 2020. "Average labour productivity dynamics over the business cycle," Empirical Economics, Springer, vol. 59(4), pages 1833-1863, October.
    5. Molnárová, Zuzana & Reiter, Michael, 2022. "Technology, demand, and productivity: What an industry model tells us about business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    6. Maarten Dossche & Andrea Gavazzi & Vivien Lewis, 2023. "Labor Adjustment and Productivity in the OECD," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 47, pages 111-130, January.
    7. Jinghua Wang & Geoffrey Ngene, 2018. "Symmetric and asymmetric nonlinear causalities between oil prices and the U.S. economic sectors," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 199-218, July.
    8. Joshua Brault & Hashmat Khan, 2021. "Large Firms and the Cyclicality of US Labour Productivity," Carleton Economic Papers 21-02, Carleton University, Department of Economics, revised 27 May 2021.
    9. Maarten Dossche & Andrea Gavazzi & Vivien Lewis, 2023. "Labor Adjustment and Productivity in the OECD," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 47, pages 111-130, January.
    10. Nucci, Francesco & Riggi, Marianna, 2013. "Performance pay and changes in U.S. labor market dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2796-2813.
    11. Lutz Kilian & Robert J. Vigfusson, 2017. "The Role of Oil Price Shocks in Causing U.S. Recessions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(8), pages 1747-1776, December.
    12. Gordon, Robert J. & Sayed, Hassan, 2019. "Prospects for a revival in U. S. productivity growth," Journal of Policy Modeling, Elsevier, vol. 41(3), pages 444-458.
    13. Cantore, Cristiano & Ferroni, Filippo & León-Ledesma, Miguel A., 2017. "The dynamics of hours worked and technology," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 67-82.
    14. Francesco Nucci & Marianna Riggi, 2011. "Performance pay and shifts in macroeconomic correlations," Temi di discussione (Economic working papers) 800, Bank of Italy, Economic Research and International Relations Area.
    15. Stamegna, Marco, 2022. "Induced innovation, the distributive cycle, and the changing pattern of labour productivity cyclicality: a SVAR analysis for the US economy," MPRA Paper 113855, University Library of Munich, Germany.
    16. Danilo Cascaldi-Garcia & Marija Vukotic, 2022. "Patent-Based News Shocks," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 51-66, March.
    17. Wu, Shue-Jen, 2023. "The role of the past long-run oil price changes in stock market," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 274-291.
    18. Sylvain Leduc & Daniel Wilson, 2013. "Roads to Prosperity or Bridges to Nowhere? Theory and Evidence on the Impact of Public Infrastructure Investment," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 89-142.
    19. Oscar Jorda & Alan Taylor & Sanjay Singh, 2019. "The Long-Run Effects of Monetary Policy," 2019 Meeting Papers 1307, Society for Economic Dynamics.
    20. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2012. "Oil prices, exchange rates and emerging stock markets," Energy Economics, Elsevier, vol. 34(1), pages 227-240.

    More about this item

    JEL classification:

    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • 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
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

    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:fip:fedfwp:2013-32. 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: Federal Reserve Bank of San Francisco Research Library (email available below). General contact details of provider: https://edirc.repec.org/data/frbsfus.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.