IDEAS home Printed from https://ideas.repec.org/a/fip/fednci/y2011ijunenv.17no.3.html
   My bibliography  Save this article

How does slack influence inflation?

Author

Listed:
  • Anna Cororaton
  • Richard Peach
  • Robert W. Rich

Abstract

Economists have long studied the relationship between resource utilization and inflation. Theory suggests that when firms use labor and capital very intensively, production costs tend to rise and firms have more scope to pass those cost increases along in the form of higher product prices. In contrast, when that level of intensity is relatively low?that is, when the economy is operating with slack?production costs tend to rise more slowly (or even fall) and firms have less scope for raising prices. Empirical evidence, however, has varied concerning the exact nature of the relationship between resource utilization and inflation. In this study, the authors reexamine this relationship by evaluating the presence of ?threshold effects.? They find that the level of intensity of resource utilization must be below or above certain critical values before it can help to forecast movements in inflation.

Suggested Citation

  • Anna Cororaton & Richard Peach & Robert W. Rich, 2011. "How does slack influence inflation?," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 17(June).
  • Handle: RePEc:fip:fednci:y:2011:i:june:n:v.17no.3
    as

    Download full text from publisher

    File URL: https://www.newyorkfed.org/medialibrary/media/research/current_issues/ci17-3.html
    Download Restriction: no

    File URL: https://www.newyorkfed.org/medialibrary/media/research/current_issues/ci17-3.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Michelle L. Barnes & Giovanni P. Olivei, 2003. "Inside and outside bounds: threshold estimates of the Phillips curve," New England Economic Review, Federal Reserve Bank of Boston, pages 3-18.
    2. Zheng Liu & Glenn D. Rudebusch, 2010. "Inflation: mind the gap," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue jan19.
    3. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
    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. Fontanari, Claudia & Palumbo, Antonella & Salvatori, Chiara, 2020. "Potential Output in Theory and Practice: A Revision and Update of Okun's Original Method," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 247-266.
    2. Kapur, Muneesh, 2013. "Revisiting the Phillips curve for India and inflation forecasting," Journal of Asian Economics, Elsevier, vol. 25(C), pages 17-27.
    3. Fröhling, Annette & Lommatzsch, Kirsten, 2011. "Output sensitivity of inflation in the euro area: Indirect evidence from disaggregated consumer prices," Discussion Paper Series 1: Economic Studies 2011,25, Deutsche Bundesbank.
    4. Liu, Yuelin & Morley, James, 2014. "Structural evolution of the postwar U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 42(C), pages 50-68.
    5. Jun Il Kim, 2014. "Comments on James Morley's paper," BIS Papers chapters, in: Bank for International Settlements (ed.),Globalisation, inflation and monetary policy in Asia and the Pacific, volume 77, pages 51-54, Bank for International Settlements.
    6. Guilloux-Nefussi, Sophie, 2020. "Globalization, market structure and inflation dynamics," Journal of International Economics, Elsevier, vol. 123(C).
    7. Renaud St-Cyr, 2018. "Non-linéarité de la courbe de Phillips : un survol de la littérature," Staff Analytical Notes 2018-3, Bank of Canada.
    8. Albuquerque, Bruno & Baumann, Ursel, 2017. "Will US inflation awake from the dead? The role of slack and non-linearities in the Phillips curve," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 247-271.
    9. Kanellopoulos, Nikolaos C. & Koutroulis, Aristotelis G., 2016. "Non-linearities in euro area inflation persistence," Economic Modelling, Elsevier, vol. 59(C), pages 116-123.
    10. Lars Osberg, 2011. "Why Did Unemployment Disappear from Official Macro-Economic Policy Discourse in Canada?," New Directions for Intelligent Government in Canada: Papers in Honour of Ian Stewart, in: Fred Gorbet & Andrew Sharpe (ed.),New Directions for Intelligent Government in Canada: Papers in Honour of Ian Stewart, pages 127-162, Centre for the Study of Living Standards.
    11. Peter Hooper & Frederic S. Mishkin & Amir Sufi, 2019. "Prospects for Inflation in a High Pressure Economy: Is the Phillips Curve Dead or is It Just Hibernating?," NBER Working Papers 25792, National Bureau of Economic Research, Inc.
    12. Marlene Amstad & Simon M. Potter & Robert W. Rich, 2014. "The FRBNY staff underlying inflation gauge: UIG," Staff Reports 672, Federal Reserve Bank of New York.
    13. Hooper, Peter & Mishkin, Frederic S. & Sufi, Amir, 2020. "Prospects for inflation in a high pressure economy: Is the Phillips curve dead or is it just hibernating?," Research in Economics, Elsevier, vol. 74(1), pages 26-62.
    14. Richard A. Ashley & Randall J. Verbrugge., 2006. "Mis-Specification in Phillips Curve Regressions: Quantifying Frequency Dependence in This Relationship While Allowing for Feedback," Working Papers e06-11, Virginia Polytechnic Institute and State University, Department of Economics.
    15. Lars Osberg, 2018. "Full Employment in Canada in the early 21st Century," Working Papers daleconwp2018-02, Dalhousie University, Department of Economics.

    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. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.),Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    2. Kumar, Anil & M. Orrenius, Pia, 2016. "A closer look at the Phillips curve using state-level data," Journal of Macroeconomics, Elsevier, vol. 47(PA), pages 84-102.
    3. Phiri, Andrew, 2015. "Examining asymmetric effects in the South African Philips curve: Evidence from logistic smooth transition regression (LSTR) models," MPRA Paper 64487, University Library of Munich, Germany.
    4. Richard A. Ashley & Randall J. Verbrugge., 2006. "Mis-Specification in Phillips Curve Regressions: Quantifying Frequency Dependence in This Relationship While Allowing for Feedback," Working Papers e06-11, Virginia Polytechnic Institute and State University, Department of Economics.
    5. James H. Stock & Mark W. Watson, 2010. "Modeling inflation after the crisis," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 173-220.
    6. Oleg KITOV & Ivan KITOV, 2012. "Inflation And Unemployment In Switzerland: From 1970 To 2050," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(2(20)/ Su), pages 141-156.
    7. Oguz Atuk & Cem Aysoy & Mustafa Utku Ozmen & Cagri Sarikaya, 2014. "Turkiye�de Enflasyonun Is Cevrimlerine Duyarliligi : Cikti Acigina Duyarli TUFE Alt Gruplarinin Saptanmasi," Working Papers 1437, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    8. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2013. "Should Macroeconomic Forecasters Use Daily Financial Data and How?," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 240-251, April.
    9. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
    10. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    11. Ayse Kabukcuoglu & Enrique Martínez-García, 2016. "What Helps Forecast U.S. Inflation?—Mind the Gap!," Koç University-TUSIAD Economic Research Forum Working Papers 1615, Koc University-TUSIAD Economic Research Forum.
    12. Jing Tian & Heather M. Anderson, 2011. "Forecasting Under Strucural Break Uncertainty," Monash Econometrics and Business Statistics Working Papers 8/11, Monash University, Department of Econometrics and Business Statistics.
    13. Jonas D. M. Fisher & Chin Te Liu & Ruilin Zhou, 2002. "When can we forecast inflation?," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 26(Q I), pages 32-44.
    14. Gary Koop & Dimitris Korobilis, 2012. "Forecasting Inflation Using Dynamic Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 867-886, August.
    15. Salisu, Afees A. & Ademuyiwa, Idris & Isah, Kazeem O., 2018. "Revisiting the forecasting accuracy of Phillips curve: The role of oil price," Energy Economics, Elsevier, vol. 70(C), pages 334-356.
    16. De Santis, Roberto A. & Favero, Carlo A. & Roffia, Barbara, 2013. "Euro area money demand and international portfolio allocation: A contribution to assessing risks to price stability," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 377-404.
    17. Amstad, Marlene & Fischer, Andreas M, 2004. "Sequential Information Flow and Real-Time Diagnosis of Swiss Inflation: Intra-Monthly DCF Estimates for a Low-Inflation Environment," CEPR Discussion Papers 4627, C.E.P.R. Discussion Papers.
    18. Bedri Kamil Onur Taş, 2016. "Does the Federal Reserve have Private Information about its Future Actions?," Economica, London School of Economics and Political Science, vol. 83(331), pages 498-517, July.
    19. José Valentim Machado Vicente & Flávia Mourão Graminho, 2014. "Decompondo a Inflação Implícita," Working Papers Series 359, Central Bank of Brazil, Research Department.
    20. Fabio Busetti & Pietro Cova & Antonio Maria Conti & Filippo Scoccianti & Libero Monteforte & Giordano Zevi & Valentina Aprigliano & Andrea Gerali & Alberto Locarno & Alessandro Notarpietro & Massimili, 2014. "The effects of the crisis on production potential and household spending in Italy," Workshop and Conferences 18, Bank of Italy, Economic Research and International Relations Area.

    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:fednci:y:2011:i:june:n:v.17no.3. 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: http://edirc.repec.org/data/frbnyus.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 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.

    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.