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Measuring US core inflation: A common trends approach

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  • Bagliano, Fabio C.
  • Morana, Claudio

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  • Bagliano, Fabio C. & Morana, Claudio, 2003. "Measuring US core inflation: A common trends approach," Journal of Macroeconomics, Elsevier, vol. 25(2), pages 197-212, June.
    • Handle: RePEc:eee:jmacro:v:25:y:2003:i:2:p:197-212
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    3. Gert Wehinger, 2000. "Causes of Inflation in Europe, the United States and Japan: Some Lessons for Maintaining Price Stability in the EMU from a Structural VAR Approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(1), pages 83-107, March.
    4. Michael F. Bryan & Stephen G. Cecchetti, 1994. "Measuring Core Inflation," NBER Chapters, in: Monetary Policy, pages 195-219, National Bureau of Economic Research, Inc.
    5. Quah, Danny, 1992. "The Relative Importance of Permanent and Transitory Components: Identification and Some Theoretical Bounds," Econometrica, Econometric Society, vol. 60(1), pages 107-118, January.
    6. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    7. Freeman, Donald G., 1998. "Do core inflation measures help forecast inflation?," Economics Letters, Elsevier, vol. 58(2), pages 143-147, February.
    8. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    9. Quah, Danny & Vahey, Shaun P, 1995. "Measuring Core Inflation?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1130-1144, September.
    10. Timothy Cogley & Thomas J. Sargent, 2002. "Evolving Post-World War II US Inflation Dynamics," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 331-388, National Bureau of Economic Research, Inc.
    11. Warne, A., 1993. "A Common Trends Model: Identification, Estimation and Inference," Papers 555, Stockholm - International Economic Studies.
    12. Hallman, Jeffrey J & Porter, Richard D & Small, David H, 1991. "Is the Price Level Tied to the M2 Monetary Aggregate in the Long Run?," American Economic Review, American Economic Association, vol. 81(4), pages 841-858, September.
    13. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    14. Stephen G. Cecchetti, 1997. "Measuring short-run inflation for central bankers," Review, Federal Reserve Bank of St. Louis, issue May, pages 143-155.
    15. Mellander, Erik & Vredin, A & Warne, A, 1992. "Stochastic Trends and Economic Fluctuations in a Small Open Economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(4), pages 369-394, Oct.-Dec..
    16. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    17. Mark A. Wynne, 2008. "Core inflation: a review of some conceptual issues," Review, Federal Reserve Bank of St. Louis, vol. 90(May), pages 205-228.
    18. Quah, Danny, 1995. "Misinterpreting the dynamic effects of aggregate demand and supply disturbances," Economics Letters, Elsevier, vol. 49(3), pages 247-250, September.
    19. Le Bihan, Herve & Sedillot, Franck, 2000. "Do core inflation measures help forecast inflation?: Out-of-sample evidence from French data," Economics Letters, Elsevier, vol. 69(3), pages 261-266, December.
    20. Crowder, William J., 1995. "The dynamic effects of aggregate demand and supply disturbances: Another look," Economics Letters, Elsevier, vol. 49(3), pages 231-237, September.
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    Cited by:

    1. Peter Claeys, 2007. "Estimating the effects of fiscal policy under the budget constraint," IREA Working Papers 200715, University of Barcelona, Research Institute of Applied Economics, revised Jul 2007.
    2. Carlo Di Giorgio & Massimo Giannini, 2012. "A comparison of the Beveridge curve dynamics in Italy and USA," Empirical Economics, Springer, vol. 43(3), pages 945-983, December.
    3. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "La tasa de cambio real de equilibrio en Colombia y su desalineamiento: estimación a través de un modelo SVEC," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 26(57), pages 282-319, December.
    4. Abdul Aleem & Amine Lahiani, 2011. "Estimation and evaluation of core inflation measures," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3619-3629.
    5. Edward N. Gamber & Julie K. Smith, 2016. "Time-series measures of core inflation," Working Papers 2016-008, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    6. Bhatt, Vipul & Kishor, N. Kundan, 2015. "Are all movements in food and energy prices transitory? Evidence from India," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 92-106.
    7. Alan K. Detmeister, 2011. "The usefulness of core PCE inflation measures," Finance and Economics Discussion Series 2011-56, Board of Governors of the Federal Reserve System (U.S.).
    8. Durai, S. Raja Sethu & Ramachandran, M., 2007. "Core inflation for India," Journal of Asian Economics, Elsevier, vol. 18(2), pages 365-383, April.
    9. Baillie, Richard T. & Morana, Claudio, 2012. "Adaptive ARFIMA models with applications to inflation," Economic Modelling, Elsevier, vol. 29(6), pages 2451-2459.
    10. Sartaj Rasool Rather & S. Raja Sethu Durai & M. Ramachandran, 2016. "On the Methodology of Measuring Core Inflation," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 45(2), pages 271-282, July.

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