IDEAS home Printed from https://ideas.repec.org/p/ecm/nasm04/418.html
   My bibliography  Save this paper

The New Keynesian Phillips Curve: An empirical assessment

Author

Listed:
  • Florian PELGRIN
  • Alain GUAY
  • Richard LUGER

Abstract

The recent works of Gali and Gertler (1999) and Gali, Gertler and Lopez-Salido (2001) provide evidence supporting the New Keynesian Phillips curve (NKPC). This model posits the dynamics of inflation as being forward-looking and related to real marginal costs. In this paper, we examine the empirical relevance of their results for the United States. Our approach addresses several important econometric issues with the standard approaches typically used for estimation and inference in NKPC models. Using the continously-updated GMM estimator proposed by Hansen, Heaton and Yaron (1996) and the 3-step GMM estimator developed by Bonnal and Renault (2003), the empirical evidence of the NKPC is rather mixed. Specifically, results are sensitive to the instruments sets, normalisation, estimators, the sample period and revisions of data

Suggested Citation

  • Florian PELGRIN & Alain GUAY & Richard LUGER, 2004. "The New Keynesian Phillips Curve: An empirical assessment," Econometric Society 2004 North American Summer Meetings 418, Econometric Society.
  • Handle: RePEc:ecm:nasm04:418
    as

    Download full text from publisher

    File URL: http://repec.org/esNASM04/up.27251.1075496817.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. McAleer, Michael & McKenzie, C R, 1991. "Keynesian and New Classical Models of Unemployment Revisited," Economic Journal, Royal Economic Society, vol. 101(406), pages 359-381, May.
    2. Mcleer, M. & Mckenzie, C.R., 1989. "When Are Two Step Estimators Efficient?," Papers 179, Australian National University - Department of Economics.
    3. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    4. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    5. Adrian Pagan, 1986. "Two Stage and Related Estimators and Their Applications," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(4), pages 517-538.
    6. Taylor, John B, 1980. "Aggregate Dynamics and Staggered Contracts," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 1-23, February.
    7. Whitney K. Newey & Richard J. Smith, 2004. "Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators," Econometrica, Econometric Society, vol. 72(1), pages 219-255, January.
    8. Rudd, Jeremy & Whelan, Karl, 2005. "New tests of the new-Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1167-1181, September.
    9. Eric JONDEAU & Hervé LE BIHAN, 2003. "ML vs GMM Estimates of Hybrid Macroeconomic Models (With an Application to the "New Phillips Curve")," Econometrics 0303004, University Library of Munich, Germany.
    10. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    11. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    12. Gali, Jordi & Gertler, Mark & Lopez-Salido, J. David, 2001. "European inflation dynamics," European Economic Review, Elsevier, vol. 45(7), pages 1237-1270.
    13. Ravi Balakrishnan & J David Lopez-Salido, 2002. "Understanding UK inflation: the role of openness," Bank of England working papers 164, Bank of England.
    14. Alastair R. Hall & Fernanda P. M. Peixe, 2003. "A Consistent Method for the Selection of Relevant Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 22(3), pages 269-287, January.
    15. Sharon Kozicki & Peter A. Tinsley, 2002. "Alternative sources of the lag dynamics of inflation," Research Working Paper RWP 02-12, Federal Reserve Bank of Kansas City.
    16. Gali, Jordi & Gertler, Mark & David Lopez-Salido, J., 2005. "Robustness of the estimates of the hybrid New Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1107-1118, September.
    17. Michael Dotsey, 2002. "Pitfalls in interpreting tests of backward-looking pricing in New Keynesian models," Economic Quarterly, Federal Reserve Bank of Richmond, issue Win, pages 37-50.
    18. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    19. Hall, Alastair R. & Inoue, Atsushi, 2003. "The large sample behaviour of the generalized method of moments estimator in misspecified models," Journal of Econometrics, Elsevier, vol. 114(2), pages 361-394, June.
    20. Jean-Marie Dufour, 1997. "Some Impossibility Theorems in Econometrics with Applications to Structural and Dynamic Models," Econometrica, Econometric Society, vol. 65(6), pages 1365-1388, November.
    21. Nicoletta Batini & Brian Jackson & Stephen Nickell, 2000. "Inflation Dynamics and the Labour Share in the UK," Discussion Papers 02, Monetary Policy Committee Unit, Bank of England.
    22. Sbordone, Argia M., 2002. "Prices and unit labor costs: a new test of price stickiness," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 265-292, March.
    23. Jordi Gali & Tommaso Monacelli, 1999. "Optimal Monetary Policy and Exchange Rate Volatility in a Small Open Economy," Boston College Working Papers in Economics 438, Boston College Department of Economics, revised 15 Nov 1999.
    24. Alastair R. Hall, 2000. "Covariance Matrix Estimation and the Power of the Overidentifying Restrictions Test," Econometrica, Econometric Society, vol. 68(6), pages 1517-1528, November.
    25. Benigno, Pierpaolo & Lopez-Salido, J. David, 2006. "Inflation Persistence and Optimal Monetary Policy in the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(3), pages 587-614, April.
    26. Khan, Hashmat & Zhu, Zhenhua, 2006. "Estimates of the Sticky-Information Phillips Curve for the United States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(1), pages 195-207, February.
    27. Eric Heyer & Florian Pelgrin & Arnaud Sylvain, 2004. "Translog ou Cobb-Douglas? Le rôle des durées d'utilisation des facteurs," Staff Working Papers 04-19, Bank of Canada.
    28. Linde, Jesper, 2005. "Estimating New-Keynesian Phillips curves: A full information maximum likelihood approach," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1135-1149, September.
    29. Padula, Mario & Backé, Peter, 2003. "Inflation dynamics and subjective expectations in the United States," Working Paper Series 222, European Central Bank.
    30. Hansen, Lars Peter & Heaton, John & Yaron, Amir, 1996. "Finite-Sample Properties of Some Alternative GMM Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 262-280, July.
    31. Edith Gagnon & Hashmat Khan, 2001. "New Phillips Curve with Alternative Marginal Cost Measures forCanada, the United States, and the Euro Area," Staff Working Papers 01-25, Bank of Canada.
    32. Steve Ambler & Alain Guay & Louis Phaneuf, 1999. "Wage Contracts and Labor Adjustment Costs as Endogenous Propagation Mechanisms," Cahiers de recherche CREFE / CREFE Working Papers 69, CREFE, Université du Québec à Montréal.
    33. Jondeau, E. & Le Bihan, H., 2001. "Testing for a Forward-Looking Phillips Curve. Additional Evidence from European and US Data," Working papers 86, Banque de France.
    34. Back, Kerry & Brown, David P, 1993. "Implied Probabilities in GMM Estimators," Econometrica, Econometric Society, vol. 61(4), pages 971-975, July.
    35. Rotemberg, Julio J. & Woodford, Michael, 1999. "The cyclical behavior of prices and costs," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 16, pages 1051-1135, Elsevier.
    36. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    37. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    38. Hashmat Khan & Zhenhua Zhu, 2002. "Estimates of the Sticky-Information Phillips Curve for the United States, Canada, and the United Kingdom," Staff Working Papers 02-19, Bank of Canada.
    39. Ma, Adrian, 2002. "GMM estimation of the new Phillips curve," Economics Letters, Elsevier, vol. 76(3), pages 411-417, August.
    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. Choi, Yoonseok, 2021. "Inflation dynamics, the role of inflation at different horizons and inflation uncertainty," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 649-662.
    2. Thorvardur Tjörvi Ólafsson, 2006. "The New Keynesian Phillips Curve: In Search of Improvements and Adaptation to the Open Economy," Economics wp31_tjorvi, Department of Economics, Central bank of Iceland.
    3. Fabio Rumler, 2007. "Estimates of the Open Economy New Keynesian Phillips Curve for Euro Area Countries," Open Economies Review, Springer, vol. 18(4), pages 427-451, September.
    4. Agénor, Pierre-Richard & Bayraktar, Nihal, 2010. "Contracting models of the Phillips curve empirical estimates for middle-income countries," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 555-570, June.
    5. Fabio Rumler, 2007. "Estimates of the Open Economy New Keynesian Phillips Curve for Euro Area Countries," Open Economies Review, Springer, vol. 18(4), pages 427-451, September.
    6. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    7. Jean Imbs & Eric Jondeau & Florian Pelgrin, 2006. "Aggregating Phillips curves," 2006 Meeting Papers 640, Society for Economic Dynamics.
    8. Janko Gorter, 2005. "Subjective Expectations and New Keynesian Phillips Curves in Europe," DNB Working Papers 049, Netherlands Central Bank, Research Department.
    9. Gbaguidi, David, 2012. "La courbe de Phillips : temps d’arbitrage et/ou arbitrage de temps," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 87-119, mars.
    10. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org.
    11. Faith Christian Cacnio, 2013. "Analysing inflation dynamics in the Philippines using the new Keynesian Phililips curve," Philippine Review of Economics, University of the Philippines School of Economics and Philippine Economic Society, vol. 50(2), pages 53-82, December.
    12. Frode Brevik & Manfred Gärtner, 2005. "Partisan Theory and the New Keynesian and Sticky-Information Phillips Curves," University of St. Gallen Department of Economics working paper series 2005 2005-25, Department of Economics, University of St. Gallen.
    13. Mohamed Boutahar & David Gbaguidi, 2009. "Which Econometric Specification to Characterize the U.S. Inflation Rate Process?," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 145-172, September.
    14. Fructuoso Borrallo Egea & Pedro del Río López, 2021. "Monetary policy strategy and inflation in Japan," Occasional Papers 2116, Banco de España.

    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. Ieva Rubene & Paolo Guarda, 2004. "The new Keynesian Phillips curve: empirical results for Luxembourg," BCL working papers 11, Central Bank of Luxembourg.
    2. Alain Guay & Florian Pelgrin, 2007. "Using Implied Probabilities to Improve Estimation with Unconditional Moment Restrictions," Cahiers de recherche 0747, CIRPEE.
    3. repec:zbw:bofism:2005_032 is not listed on IDEAS
    4. Jondeau, Eric & Le Bihan, Herve, 2005. "Testing for the New Keynesian Phillips Curve. Additional international evidence," Economic Modelling, Elsevier, vol. 22(3), pages 521-550, May.
    5. Paloviita, Maritta, 2005. "The role of expectations in euro area inflation dynamics," Scientific Monographs, Bank of Finland, number 2005_032.
    6. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    7. repec:zbw:bofism:2008_040 is not listed on IDEAS
    8. Paloviita, Maritta, 2008. "Dynamics of inflation expectations in the euro area," Scientific Monographs, Bank of Finland, number 40/2008.
    9. Bakhshi, Hasan & Khan, Hashmat & Rudolf, Barbara, 2007. "The Phillips curve under state-dependent pricing," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2321-2345, November.
    10. Paloviita, Maritta & Mayes, David, 2005. "The use of real-time information in Phillips-curve relationships for the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 415-434, December.
    11. Eric JONDEAU & Herve LE BIHAN, 2003. "ML vs GMM Estimates of Hybrid Macroeconomic Models (With an Application to the "New Phillips Curve")," Econometrics 0303006, University Library of Munich, Germany.
    12. Abbas, Syed Kanwar & Sgro, Pasquale M., 2011. "New Keynesian Phillips Curve and inflation dynamics in Australia," Economic Modelling, Elsevier, vol. 28(4), pages 2022-2033, July.
    13. Scheufele, Rolf, 2010. "Evaluating the German (New Keynesian) Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 145-164, August.
    14. Thorvardur Tjörvi Ólafsson, 2006. "The New Keynesian Phillips Curve: In Search of Improvements and Adaptation to the Open Economy," Economics wp31_tjorvi, Department of Economics, Central bank of Iceland.
    15. Abbas, Syed K. & Bhattacharya, Prasad Sankar & Sgro, Pasquale, 2016. "The new Keynesian Phillips curve: An update on recent empirical advances," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 378-403.
    16. James M. Nason & Gregor W. Smith, 2008. "The New Keynesian Phillips curve : lessons from single-equation econometric estimation," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Fall), pages 361-395.
    17. Campbell Leith & Jim Malley, 2007. "A Sectoral Analysis of Price-Setting Behavior in U.S. Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 335-342, May.
    18. Martin S. Eichenbaum & Jonas D. M. Fisher, 2003. "Evaluating the Calvo model of sticky prices," Working Paper Series WP-03-23, Federal Reserve Bank of Chicago.
    19. Borek Vašícek, 2011. "Inflation Dynamics and the New Keynesian Phillips Curve in Four Central European Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(5), pages 71-100, September.
    20. Argia M. Sbordone, 2006. "U.S. Wage and Price Dynamics: A Limited-Information Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 2(3), September.
    21. Peter Tillmann, 2009. "The New Keynesian Phillips curve in Europe: does it fit or does it fail?," Empirical Economics, Springer, vol. 37(3), pages 463-473, December.
    22. Jan Marc Berk & Job Swank, 2007. "Regional real exchange rates and Phillips curves in monetary unions - Evidence from the US and EMU," DNB Working Papers 147, Netherlands Central Bank, Research Department.

    More about this item

    Keywords

    GMM; Phillips Curve; Inflation dynamics;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    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:ecm:nasm04:418. 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.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.