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Revisiting the inflation–output gap relationship for France using a wavelet transform approach

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  • Tiwari, Aviral Kumar
  • Oros, Cornel
  • Albulescu, Claudiu Tiberiu

Abstract

The purpose of the paper is to revisit the inflation–output gap relationship using a new approach known as the wavelet transform. This approach combines the classical time series analysis with frequency domain analysis and presents the advantages of assessing the co-movement of the two series in the context of both time and frequencies. Using discrete and continuous wavelet methodologies for the study of the inflation–output gap nexus in the case of France, we determine that the output gap is able to predict the inflation dynamics in the short- and medium-runs, and these results have important implications to the Phillips curve theory. More precisely, we discovered that in a discrete wavelet framework, the short- and medium-term fluctuations of both variables are more closely correlated, whereas the continuous wavelet analysis states that the output gap leads inflation in short- and medium-runs.

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  • 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.
  • Handle: RePEc:eee:ecmode:v:37:y:2014:i:c:p:464-475 DOI: 10.1016/j.econmod.2013.11.039
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    as
    1. Marco Gallegati & Mauro Gallegati & James Bernard Ramsey & Willi Semmler, 2011. "The US Wage Phillips Curve across Frequencies and over Time," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(4), pages 489-508, August.
    2. Baghli, Mustapha & Cahn, Christophe & Fraisse, Henri, 2007. "Is the inflation-output Nexus asymmetric in the Euro area?," Economics Letters, Elsevier, vol. 94(1), pages 1-6, January.
    3. Francis In & Sangbae Kim, 2006. "The Hedge Ratio and the Empirical Relationship between the Stock and Futures Markets: A New Approach Using Wavelet Analysis," The Journal of Business, University of Chicago Press, vol. 79(2), pages 799-820, March.
    4. 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.
    5. Russell, Bill & Banerjee, Anindya, 2008. "The long-run Phillips curve and non-stationary inflation," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1792-1815, December.
    6. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    7. Tiwari, Aviral Kumar & Dar, Arif Billah & Bhanja, Niyati, 2013. "Oil price and exchange rates: A wavelet based analysis for India," Economic Modelling, Elsevier, vol. 31(C), pages 414-422.
    8. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Money growth, output gaps and inflation at low and high frequency: Spectral estimates for Switzerland," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 411-435, February.
    9. Stephane Dees & M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2009. "Identification of New Keynesian Phillips Curves from a Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(7), pages 1481-1502, October.
    10. Katrin Assenmacher-Wesche & Stefan Gerlach, 2007. "Money at Low Frequencies," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 534-542, 04-05.
    11. Joseph P. Byrne & Alexandros Kontonikas & Alberto Montagnoli, 2013. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 913-932, August.
    12. Gali, Jordi & Gertler, Mark & Lopez-Salido, J. David, 2001. "European inflation dynamics," European Economic Review, Elsevier, vol. 45(7), pages 1237-1270.
    13. Luís Aguiar-Conraria & Maria Soares, 2011. "Oil and the macroeconomy: using wavelets to analyze old issues," Empirical Economics, Springer, vol. 40(3), pages 645-655, May.
    14. Iris Claus, 2000. "Is the output gap a useful indicator of inflation?," Reserve Bank of New Zealand Discussion Paper Series DP2000/05, Reserve Bank of New Zealand.
    15. Paul, Biru Paksha, 2009. "In search of the Phillips curve for India," Journal of Asian Economics, Elsevier, vol. 20(4), pages 479-488, September.
    16. Eric JONDEAU & Florian PELGRIN, "undated". "Aggregating Rational Expectations Models in the Presence of Unobserved Micro Heterogeneity," Swiss Finance Institute Research Paper Series 09-30, Swiss Finance Institute.
    17. Alexander Mihailov & Fabio Rumler & Johann Scharler, 2011. "The Small Open-Economy New Keynesian Phillips Curve: Empirical Evidence and Implied Inflation Dynamics," Open Economies Review, Springer, vol. 22(2), pages 317-337, April.
    18. Komlan, Fiodendji, 2013. "The asymmetric reaction of monetary policy to inflation and the output gap: Evidence from Canada," Economic Modelling, Elsevier, vol. 30(C), pages 911-923.
    19. Shahbaz, Muhammad & Tiwari, Aviral Kumar & Tahir, Mohammad Iqbal, 2012. "Does CPI Granger-cause WPI? New extensions from frequency domain approach in Pakistan," Economic Modelling, Elsevier, vol. 29(5), pages 1592-1597.
    20. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    21. Boug, Pål & Cappelen, Adne & Swensen, Anders Rygh, 2010. "The new Keynesian Phillips curve revisited," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 858-874, May.
    22. Benhmad, François, 2012. "Modeling nonlinear Granger causality between the oil price and U.S. dollar: A wavelet based approach," Economic Modelling, Elsevier, vol. 29(4), pages 1505-1514.
    23. Roberts, John M, 1995. "New Keynesian Economics and the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 975-984, November.
    24. 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.
    25. Naccache, Théo, 2011. "Oil price cycles and wavelets," Energy Economics, Elsevier, vol. 33(2), pages 338-352, March.
    26. Aguiar-Conraria, LuI´s & Joana Soares, Maria, 2011. "Business cycle synchronization and the Euro: A wavelet analysis," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 477-489, September.
    27. Arturo Estrella & Jeffrey C. Fuhrer, 2002. "Dynamic Inconsistencies: Counterfactual Implications of a Class of Rational-Expectations Models," American Economic Review, American Economic Association, vol. 92(4), pages 1013-1028, September.
    28. GERLACH, Stefan & Peng, Wensheng, 2006. "Output gaps and inflation in Mainland China," China Economic Review, Elsevier, vol. 17(2), pages 210-225.
    29. Rua, António, 2010. "Measuring comovement in the time-frequency space," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 685-691, June.
    30. Peter Tillmann, 2009. "The New Keynesian Phillips curve in Europe: does it fit or does it fail?," Empirical Economics, Springer, pages 463-473.
    31. Laxton, Douglas & Rose, David & Tambakis, Demosthenes, 1999. "The U.S. Phillips curve: The case for asymmetry," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1459-1485, September.
    32. Imbs, Jean & Jondeau, Eric & Pelgrin, Florian, 2011. "Sectoral Phillips curves and the aggregate Phillips curve," Journal of Monetary Economics, Elsevier, pages 328-344.
    33. Tiwari, Aviral Kumar, 2012. "An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain," Economic Modelling, Elsevier, vol. 29(5), pages 1571-1578.
    34. Zhang, Chengsi & Murasawa, Yasutomo, 2011. "Output gap measurement and the New Keynesian Phillips curve for China," Economic Modelling, Elsevier, vol. 28(6), pages 2462-2468.
    35. Richard A. Ashley. & Randall J. Verbrugge., 2006. "Mis-Specification and Frequency Dependence in a New Keynesian Phillips Curve," Working Papers e06-12, Virginia Polytechnic Institute and State University, Department of Economics.
    36. repec:mcb:jmoncb:v:45:y:2013:i::p:913-932 is not listed on IDEAS
    37. Campbell Leith & Jim Malley, 2007. "Estimated Open Economy New Keynesian Phillips Curves for the G7," Open Economies Review, Springer, vol. 18(4), pages 405-426, September.
    38. W. Bolt & P.J.A. van Els, 1998. "Output gap and inflation in the EU," WO Research Memoranda (discontinued) 550, Netherlands Central Bank, Research Department.
    39. Tiwari, Aviral Kumar, 2013. "Oil prices and the macroeconomy reconsideration for Germany: Using continuous wavelet," Economic Modelling, Elsevier, vol. 30(C), pages 636-642.
    40. Alfred A. Haug & William G. Dewald, 2012. "Money, Output, And Inflation In The Longer Term: Major Industrial Countries, 1880–2001," Economic Inquiry, Western Economic Association International, vol. 50(3), pages 773-787, July.
    41. Aguiar-Conraria, Luís & Azevedo, Nuno & Soares, Maria Joana, 2008. "Using wavelets to decompose the time–frequency effects of monetary policy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2863-2878.
    42. Tiwari, Aviral Kumar & Mutascu, Mihai & Andries, Alin Marius, 2013. "Decomposing time-frequency relationship between producer price and consumer price indices in Romania through wavelet analysis," Economic Modelling, Elsevier, vol. 31(C), pages 151-159.
    43. Trezzi, Riccardo, 2013. "A wavelet analysis of international risk-sharing," Economics Letters, Elsevier, vol. 118(2), pages 330-333.
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    13. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu, 2016. "Oil price and exchange rate in India: Fresh evidence from continuous wavelet approach and asymmetric, multi-horizon Granger-causality tests," Applied Energy, Elsevier, pages 272-283.
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    More about this item

    Keywords

    Phillips curve; Output gap; Inflation co-movement; Wavelet framework; France;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General

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