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The Long-Run Phillips Curve and Non-Stationary Inflation

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  • Bill Russell, Anindya Banerjee
Abstract
Modern theories of inflation incorporate a vertical long-run Phillips curve and are usually estimated using techniques that ignore the non-stationary behaviour of inflation. Consequently, the estimates obtained are imprecise and are unable to distinguish between competing models of inflation and test the veracity of a vertical long-run Phillips curve. We estimate a Phillips curve model taking into account the non-stationary properties in inflation and identify a small but significant positive relationship between inflation and unemployment. The results provide some evidence that the trade-off between inflation and the unemployment rate in the short-run worsens as the mean rate of inflation increases.

Suggested Citation

  • Bill Russell, Anindya Banerjee, 2006. "The Long-Run Phillips Curve and Non-Stationary Inflation," Economics Working Papers ECO2006/16, European University Institute.
    • Handle: RePEc:eui:euiwps:eco2006/16
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    1. Russell, Bill, 2011. "Non-stationary inflation and panel estimates of United States short and long-run Phillips curves," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 406-419, September.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. N. Gregory Mankiw, 1985. "Small Menu Costs and Large Business Cycles: A Macroeconomic Model of Monopoly," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(2), pages 529-538.
    4. 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.
    5. repec:bla:econom:v:57:y:1990:i:226:p:201-18 is not listed on IDEAS
    6. Jean-Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 36(4), pages 767-808, November.
    7. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    8. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2006. "Inflation dynamics and the New Keynesian Phillips Curve: An identification robust econometric analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1707-1727.
    9. Jean‐Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(4), pages 767-808, November.
    10. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    11. Svensson, Lars E. O., 2000. "Open-economy inflation targeting," Journal of International Economics, Elsevier, vol. 50(1), pages 155-183, February.
    12. Benabou, Roland & Konieczny, Jerzy D, 1994. "On Inflation and Output with Costly Price Changes: A Simple Unifying Result," American Economic Review, American Economic Association, vol. 84(1), pages 290-297, March.
    13. Peter A. Diamond, 1993. "Search, Sticky Prices, and Inflation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(1), pages 53-68.
    14. Bennett T. McCallum, 2000. "Alternative monetary policy rules : a comparison with historical settings for the United States, the United Kingdom, and Japan," Economic Quarterly, Federal Reserve Bank of Richmond, issue Win, pages 49-79.
    15. Anindya Banerjee, 2001. "Industry structure and the dynamics of price adjustment," Applied Economics, Taylor & Francis Journals, vol. 33(15), pages 1889-1901.
    16. Parkin, Michael, 1986. "The Output-Inflation Trade-off When Prices Are Costly to Change," Journal of Political Economy, University of Chicago Press, vol. 94(1), pages 200-224, February.
    17. Bill Russell & Jonathan Evans & Bruce Preston, "undated". "The Impact Of Inflation and Uncertainty On The Optimum Price Set By Firms," Dundee Discussion Papers in Economics 084, Economic Studies, University of Dundee.
    18. Pesaran, M. H., 1981. "Identification of rational expectations models," Journal of Econometrics, Elsevier, vol. 16(3), pages 375-398, August.
    19. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    20. Gali, Jordi & Gertler, Mark & Lopez-Salido, J. David, 2001. "European inflation dynamics," European Economic Review, Elsevier, vol. 45(7), pages 1237-1270.
    21. Bill Russell, 1998. "A Rules Based Model Of Disequilibrium Price Adjustment With Missing Information," Dundee Discussion Papers in Economics 091, Economic Studies, University of Dundee.
    22. 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.
    23. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    24. Anindya Banerjee & Lynne Cockerell & Bill Russell, 2001. "An I(2) analysis of inflation and the markup," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 221-240.
    25. Mavroeidis, Sophocles, 2005. "Identification Issues in Forward-Looking Models Estimated by GMM, with an Application to the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 421-448, June.
    26. Bill Russell, 2006. "Non-Stationary Inflation and the Markup: an Overview of the Research and some Implications for Policy," Dundee Discussion Papers in Economics 191, Economic Studies, University of Dundee.
    27. Batini, Nicoletta & Jackson, Brian & Nickell, Stephen, 2005. "An open-economy new Keynesian Phillips curve for the U.K," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1061-1071, September.
    28. Danziger, Leif, 1988. "Costs of Price Adjustment and the Welfare Economics of Inflation and Disinflation," American Economic Review, American Economic Association, vol. 78(4), pages 633-646, September.
    29. Benabou, Roland, 1992. "Inflation and markups : Theories and evidence from the retail trade sector," European Economic Review, Elsevier, vol. 36(2-3), pages 566-574, April.
    30. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    31. Banerjee, Anindya & Russell, Bill, 2005. "Inflation and measures of the markup," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 289-306, June.
    32. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    33. Yu-Fu CHEN & Bill RUSSELL, 2002. "An Optimising Model of Price Adjustment with Missing Information," Economics Working Papers ECO2002/03, European University Institute.
    34. Timur Kuran, 1986. "Price Adjustment Costs, Anticipated Inflation, and Output," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(2), pages 407-418.
    35. James H. Stock & Jonathan Wright, 2000. "GMM with Weak Identification," Econometrica, Econometric Society, vol. 68(5), pages 1055-1096, September.
    36. Friedman, Milton, 1977. "Nobel Lecture: Inflation and Unemployment," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 451-472, June.
    37. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    38. Sophocles Mavroeidis, 2004. "Weak Identification of Forward‐looking Models in Monetary Economics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(s1), pages 609-635, September.
    39. Rotemberg, Julio J, 1983. "Aggregate Consequences of Fixed Costs of Price Adjustment [Sticky Prices and Disequilibrium Adjustment in a Rational Model of the Inflationary Process]," American Economic Review, American Economic Association, vol. 73(3), pages 433-436, June.
    40. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    41. Banerjee, Anindya & Russell, Bill, 2004. "A reinvestigation of the markup and the business cycle," Economic Modelling, Elsevier, vol. 21(2), pages 267-284, March.
    42. repec:bla:econom:v:53:y:1986:i:210:p:219-30 is not listed on IDEAS
    43. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    44. S. G. B Henry & A. R. Pagan, 2004. "The Econometrics of the New Keynesian Policy Model: Introduction," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(s1), pages 581-607, September.
    45. Roland Benabou, 1988. "Search, Price Setting and Inflation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(3), pages 353-376.
    46. 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.
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    Cited by:

    1. Shahbaz, Muhammad & Islam , Faridul & Shabbir, Muhammad Shahbaz, 2012. "Phillips Curve in a Small Open Economy: A Time Series Exploration of North Cyprus," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(4), pages 113-130, December.
    2. Jang, Tae-Seok & Sacht, Stephen, 2012. "Identification of animal spirits in a bounded rationality model: An application to the euro area," Economics Working Papers 2012-12, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Tae-Seok Jang & Stephen Sacht, 2016. "Animal Spirits and the Business Cycle: Empirical Evidence from Moment Matching," Metroeconomica, Wiley Blackwell, vol. 67(1), pages 76-113, February.
    4. Bill Russell & Anindya Banerjee & Issam Malki & Natalia Ponomareva, 2010. "A Multiple Break Panel Approach To Estimating United States Phillips Curves," Dundee Discussion Papers in Economics 232, Economic Studies, University of Dundee.
    5. Rao, B. Bhaskara & Paradiso, Antonio & Esposito, Piero, 2011. "Non-stationary inflation and panel estimates of the n ew Keynesian Phillips curve for Australia," MPRA Paper 29242, University Library of Munich, Germany.
    6. Ahrens, Steffen & Snower, Dennis J., 2014. "Envy, guilt, and the Phillips curve," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 69-84.
    7. Tiwari, Aviral Kumar & Oros, Cornel & Albulescu, Claudiu Tiberiu, 2014. "Revisiting the inflation–output gap relationship for France using a wavelet transform approach," Economic Modelling, Elsevier, vol. 37(C), pages 464-475.
    8. Yhlas SOVBETOV, 2019. "Phillips Curve Estimation During Tranquil and Recessionary Periods: Evidence From Panel Analysis," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 69(1), pages 23-41, June.
    9. Juan De Dios Tena & Jorge Dresdner & Iván Araya, 2012. "A Multimarket Approach For Estimating A New Keynesian Phillips Curve," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 20(1), pages 49-68, Spring.
    10. John Komlos, 2019. "The Real U.S. Unemployment Rate Is Twice the Official Rate, and the Phillips Curve," CESifo Working Paper Series 7859, CESifo.
    11. Donadelli, Michael & Paradiso, Antonio, 2014. "Is there heterogeneity in financial integration dynamics? Evidence from country and industry emerging market equity indexes," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 184-218.
    12. Luca Agnello & Vítor Castro & Ricardo M. Sousa, 2023. "Interest rate gaps in an uncertain global context: why “too” low (high) for “so” long?," Empirical Economics, Springer, vol. 64(2), pages 539-565, February.
    13. Seip, Knut L. & McNown, Robert, 2013. "Monetary policy and stability during six periods in US economic history: 1959–2008: a novel, nonlinear monetary policy rule," Journal of Policy Modeling, Elsevier, vol. 35(2), pages 307-325.
    14. Arize, Augustine C. & Malindretos, John, 2012. "Nonstationarity and nonlinearity in inflation rate: Some further evidence," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 224-234.
    15. Russell, Bill, 2011. "Non-stationary inflation and panel estimates of United States short and long-run Phillips curves," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 406-419, September.
    16. Yhlas SOVBETOV & Muhittin KAPLAN, 2019. "Empirical examination of the stability of expectations – Augmented Phillips Curve for developing and developed countries," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(619), S), pages 63-78, Summer.
    17. Guizhou Wang & Kjell Hausken, 2023. "Modeling which Factors Impact Interest Rates," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 12(2), pages 211-237.
    18. Girardi, Riccardo & Paruolo, Paolo, 2013. "Wages and prices in Europe before and after the onset of the Monetary Union," Economic Modelling, Elsevier, vol. 35(C), pages 643-653.
    19. Mihaela Simionescu, 2014. "Testing The Existence And Stability Of Phillips Curve In Romania," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 10(1), pages 67-74.
    20. Agnieszka Leszczynska & Katarzyna Hertel, 2013. "Inflation persistence – a disaggregated approach," EcoMod2013 5692, EcoMod.
    21. Christian A. Conrad, 2023. "Testing the Phillips Curve: Inflation or Unemployment? Evidence from a Behavioral Experiment," Applied Economics and Finance, Redfame publishing, vol. 10(2), pages 18-22, May.

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    More about this item

    Keywords

    Inflation; unemployment; long-run Phillips curve; business cycle; GMM;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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