IDEAS home Printed from https://ideas.repec.org/r/nbr/nberwo/21282.html
   My bibliography  Save this item

Core Inflation and Trend Inflation

Citations

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. The Fed: From forward guidance to data dependence
    by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2015-12-14 19:45:45

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Andrew Foerster & Andreas Hornstein & Pierre-Daniel Sarte & Mark W. Watson, 2019. "Aggregate Implications of Changing Sectoral Trends," NBER Working Papers 25867, National Bureau of Economic Research, Inc.
  2. Joshua C. C. Chan, 2024. "BVARs and stochastic volatility," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 3, pages 43-67, Edward Elgar Publishing.
  3. Tobias Hartl & Rolf Tschernig & Enzo Weber, 2020. "Fractional trends in unobserved components models," Papers 2005.03988, arXiv.org, revised May 2020.
  4. James M. Nason & Gregor W. Smith, 2021. "Measuring the slowly evolving trend in US inflation with professional forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 1-17, January.
  5. Richard Audoly & Martín Almuzara & Davide Melcangi, 2023. "A Measure of Trend Wage Inflation," Staff Reports 1067, Federal Reserve Bank of New York.
  6. Guglielmo Maria Caporale & Luis Alberiko Gil‐Alana & Tommaso Trani, 2022. "On the persistence of UK inflation: A long‐range dependence approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 439-454, January.
  7. Huw Dixon & Jeremy Franklin & Stephen Millard, 2023. "Sectoral Shocks and Monetary Policy in the United Kingdom," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 805-829, August.
  8. Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2020. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 17-33, March.
  9. Guido Ascari & Paolo Bonomolo & Qazi Haque, 2023. "The Long-Run Phillips Curve is ... a Curve," Working Papers 789, DNB.
  10. Francesca Rondina, 2018. "Estimating Unobservable Inflation Expectations in the New Keynesian Phillips Curve," Econometrics, MDPI, vol. 6(1), pages 1-20, February.
  11. Ha, Jongrim & Kose, M. Ayhan & Ohnsorge, Franziska, 2023. "One-stop source: A global database of inflation," Journal of International Money and Finance, Elsevier, vol. 137(C).
  12. Joseph, Andreas & Potjagailo, Galina & Chakraborty, Chiranjit & Kapetanios, George, 2024. "Forecasting UK inflation bottom up," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1521-1538.
  13. Behera, Harendra Kumar & Patra, Michael Debabrata, 2022. "Measuring trend inflation in India," Journal of Asian Economics, Elsevier, vol. 80(C).
  14. John O’Trakoun, 2023. "An alternative measure of core inflation: the Trimmed Persistence PCE price index," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 58(4), pages 205-223, October.
  15. Jose Luis Nolazco & Pablo Pincheira & Jorge Selaive, 2016. "The evasive predictive ability of core inflation," Working Papers 15/34, BBVA Bank, Economic Research Department.
  16. repec:prg:jnlpep:v:preprint:id:677:p:1-16 is not listed on IDEAS
  17. Aleksandra Hałka & Grzegorz Szafrański, 2018. "What core inflation indicators measure?," NBP Working Papers 294, Narodowy Bank Polski.
  18. Marcelo A. T. Aragão, 2021. "Blurred Crystal Ball: investigating the forecasting challenges after a great exogenous shock," Working Papers Series 549, Central Bank of Brazil, Research Department.
  19. James H. Stock & Mark W. Watson, 2020. "Trend, Seasonal, and Sectorial Inflation in the Euro Area," Central Banking, Analysis, and Economic Policies Book Series, in: Gonzalo Castex & Jordi Galí & Diego Saravia (ed.),Changing Inflation Dynamics,Evolving Monetary Policy, edition 1, volume 27, chapter 9, pages 317-344, Central Bank of Chile.
  20. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
  21. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Nowcasting tail risk to economic activity at a weekly frequency," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 843-866, August.
  22. Manuel Gonzalez-Astudillo, 2017. "GDP Trend-cycle Decompositions Using State-level Data," Finance and Economics Discussion Series 2017-051, Board of Governors of the Federal Reserve System (U.S.).
  23. Nikita D. Fokin & Ekaterina V. Malikova & Andrey V. Polbin, 2024. "Time-varying parameters error correction model for real ruble exchange rate and oil prices: What has changed due to capital control and sanctions?," Russian Journal of Economics, ARPHA Platform, vol. 10(1), pages 20-33, March.
  24. Kapinos, Pavel & Kishor, N. Kundan & Ma, Jun, 2022. "Dynamic comovement among banks, systemic risk, and the macroeconomy," Journal of Banking & Finance, Elsevier, vol. 138(C).
  25. Michele Lenza & Giorgio E. Primiceri, 2022. "How to estimate a vector autoregression after March 2020," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 688-699, June.
  26. Anton I. Votinov & Julia A. Polshchikova & Karen A. Nersisyan, 2025. "Macroeconomic Modeling in Post-pandemic Times," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 62-73, February.
  27. Luis Uzeda, 2022. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 25-53, Emerald Group Publishing Limited.
  28. Fernando Zarzosa Valdivia, 2020. "Inflation Dynamics in the ABC (Argentina, Brazil and Chile) countries," Ensayos de Política Económica, Departamento de Investigación Francisco Valsecchi, Facultad de Ciencias Económicas, Pontificia Universidad Católica Argentina., vol. 3(2), pages 77-99, Octubre.
  29. Pincheira-Brown, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2019. "Forecasting inflation in Latin America with core measures," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1060-1071.
  30. Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021. "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 458-480, April.
  31. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
  32. Kristin Forbes & Lewis Kirkham & Konstantinos Theodoridis, 2021. "A Trendy Approach to UK Inflation Dynamics," Manchester School, University of Manchester, vol. 89(S1), pages 23-75, September.
  33. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.
  34. James Mitchell & Martin Weale, 2023. "Censored density forecasts: Production and evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 714-734, August.
  35. Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding trend inflation through the lens of the goods and services sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 751-766, August.
  36. Andrew T. Foerster & Andreas Hornstein & Pierre-Daniel G. Sarte & Mark W. Watson, 2022. "Aggregate Implications of Changing Sectoral Trends," Journal of Political Economy, University of Chicago Press, vol. 130(12), pages 3286-3333.
  37. Franz Xaver Zobl & Martin Ertl, 2021. "The Condemned Live Longer – New Evidence of the New Keynesian Phillips Curve in Central and Eastern Europe," Open Economies Review, Springer, vol. 32(4), pages 671-699, September.
  38. Philippe Goulet Coulombe & Karin Klieber & Christophe Barrette & Maximilian Goebel, 2024. "Maximally Forward-Looking Core Inflation," Papers 2404.05209, arXiv.org.
  39. Dobrislav Dobrev & Pawel J. Szerszen, 2025. "Missing Data Substitution for Enhanced Robust Filtering and Forecasting in Linear State-Space Models," Finance and Economics Discussion Series 2025-001, Board of Governors of the Federal Reserve System (U.S.).
  40. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
  41. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
  42. Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023. "High-dimensional conditionally Gaussian state space models with missing data," Journal of Econometrics, Elsevier, vol. 236(1).
  43. Gáti, Laura, 2023. "Monetary policy & anchored expectations—An endogenous gain learning model," Journal of Monetary Economics, Elsevier, vol. 140(S), pages 37-47.
  44. Elmar Mertens & James M. Nason, 2020. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," Quantitative Economics, Econometric Society, vol. 11(4), pages 1485-1520, November.
  45. Tallman, Ellis W. & Zaman, Saeed, 2017. "Forecasting inflation: Phillips curve effects on services price measures," International Journal of Forecasting, Elsevier, vol. 33(2), pages 442-457.
  46. Burger, John D. & Warnock, Francis E. & Warnock, Veronica Cacdac, 2022. "A natural level of capital flows," Journal of Monetary Economics, Elsevier, vol. 130(C), pages 1-16.
  47. Gabriel Rodríguez & Luis Surco, 2024. "Modeling the trend, persistence, and volatility of inflation in Pacific Alliance countries: an empirical application using a model with inflation bands," Documentos de Trabajo / Working Papers 2024-533, Departamento de Economía - Pontificia Universidad Católica del Perú.
  48. Viacheslav Kramkov, 2023. "Does CPI disaggregation improve inflation forecast accuracy?," Bank of Russia Working Paper Series wps112, Bank of Russia.
  49. Baxa Jaromír & Plašil Miroslav & Vašíček Bořek, 2017. "Inflation and the steeplechase between economic activity variables: evidence for G7 countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-42, January.
  50. González-Astudillo, Manuel, 2019. "An output gap measure for the euro area: Exploiting country-level and cross-sectional data heterogeneity," European Economic Review, Elsevier, vol. 120(C).
  51. Eliana R. González-Molano & Ramón Hernández-Ortega & Edgar Caicedo-García & Nicolás Martínez-Cortés & Jose Vicente Romero & Anderson Grajales-Olarte, 2020. "Nueva Clasificación del BANREP de la Canasta del IPC y revisión de las medidas de Inflación Básica en Colombia," Borradores de Economia 1122, Banco de la Republica de Colombia.
  52. Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
  53. Ladi R. Bala-Keffi & Donald G. Mbaka & Nuruddeen Usman, 2020. "Alternative Core Inflation Measures in Nigeria: An Examination," Applied Economics and Finance, Redfame publishing, vol. 7(4), pages 112-120, July.
  54. Ferreira, Pedro Costa & Mattos, Daiane Marcolino de & Ardeo, Vagner Laerte, 2017. "Triple-Filter core inflation: a measure of the inflation trajectory," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 71(4), December.
  55. Christian Garciga & Randal J. Verbrugge & Saeed Zaman, 2024. "Improving the Median CPI: Maximal Disaggregation Isn't Necessarily Optimal," Working Papers 24-02R, Federal Reserve Bank of Cleveland, revised 01 Apr 2025.
  56. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
  57. Randal J. Verbrugge, 2021. "Is It Time to Reassess the Focal Role of Core PCE Inflation?," Working Papers 21-10, Federal Reserve Bank of Cleveland.
  58. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza, 2022. "Inflation in the G7 countries: persistence and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 493-506, July.
  59. Hartwig, Benny, 2022. "Bayesian VARs and prior calibration in times of COVID-19," Discussion Papers 52/2022, Deutsche Bundesbank.
  60. Yayi Yan & Jiti Gao & Bin Peng, 2021. "Asymptotics for Time-Varying Vector MA(∞) Processes," Monash Econometrics and Business Statistics Working Papers 22/21, Monash University, Department of Econometrics and Business Statistics.
  61. Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2019. "Inflation in Emerging and Developing Economies," World Bank Publications - Books, The World Bank Group, number 30657, April.
  62. Arabinda Basistha, 2023. "Estimation of short‐run predictive factor for US growth using state employment data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 34-50, January.
  63. Matthew Fontes Baptista & Stéphane Lhuissier & Matteo Mogliani, 2024. "Measuring the underlying component of inflation [Mesurer la composante sous-jacente de l’inflation]," Bulletin de la Banque de France, Banque de France, issue 253.
  64. Mengheng Li & Siem Jan Koopman, 2021. "Unobserved components with stochastic volatility: Simulation‐based estimation and signal extraction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 614-627, August.
  65. Cross, Jamie L. & Hou, Chenghan & Koop, Gary & Poon, Aubrey, 2023. "Large stochastic volatility in mean VARs," Journal of Econometrics, Elsevier, vol. 236(1).
  66. Chan, Joshua C.C., 2023. "Comparing stochastic volatility specifications for large Bayesian VARs," Journal of Econometrics, Elsevier, vol. 235(2), pages 1419-1446.
  67. Pablo Andrés Neumeyer & Martín González-Rozada & Can Soylu, 2024. "Inflation in Ethiopia," Department of Economics Working Papers 2025_05, Universidad Torcuato Di Tella.
  68. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
  69. Chenghan Hou & Bao Nguyen & Bo Zhang, 2023. "Real‐time forecasting of the Australian macroeconomy using flexible Bayesian VARs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 418-451, March.
  70. Blasques, F. & Gorgi, P. & Koopman, S.J., 2019. "Accelerating score-driven time series models," Journal of Econometrics, Elsevier, vol. 212(2), pages 359-376.
  71. Chad Fulton & Kirstin Hubrich, 2021. "Forecasting US Inflation in Real Time," Econometrics, MDPI, vol. 9(4), pages 1-20, October.
  72. Manopimoke, Pym & Limjaroenrat, Vorada, 2017. "Trend inflation estimates for Thailand from disaggregated data," Economic Modelling, Elsevier, vol. 65(C), pages 75-94.
  73. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
  74. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
  75. Gabriel Rodriguez-Rondon, 2024. "Underlying Core Inflation with Multiple Regimes," Papers 2411.12845, arXiv.org.
  76. Alex, Dony, 2021. "Anchoring of inflation expectations in large emerging economies," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
  77. Hauzenberger, Niko & Huber, Florian & Klieber, Karin, 2023. "Real-time inflation forecasting using non-linear dimension reduction techniques," International Journal of Forecasting, Elsevier, vol. 39(2), pages 901-921.
  78. Lake, A., 2020. "Optimal Feasible Expectations in Economics and Finance," Cambridge Working Papers in Economics 20105, Faculty of Economics, University of Cambridge.
  79. Bowen Fu & Ivan Mendieta-Muñoz, 2025. "Trend inflation and structural shocks," Working Paper Series, Department of Economics, University of Utah 2025-01, University of Utah, Department of Economics.
  80. Hie Joo Ahn & Leland E. Farmer, 2024. "Disagreement About the Term Structure of Inflation Expectations," Finance and Economics Discussion Series 2024-084, Board of Governors of the Federal Reserve System (U.S.).
  81. Oguz Atuk & Mustafa Utku Özmen & Cagri Sarikaya, 2018. "A Disaggregated Analysis of the Impact of Output Gap on Inflation and Implications for Monetary Policy," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(6), pages 668-683.
  82. Fu, Bowen & Mendieta-Munoz, Ivan, 2025. "Trend inflation and structural shocks," EconStor Preprints 308793, ZBW - Leibniz Information Centre for Economics.
  83. Matteo Mogliani & Anna Simoni, 2024. "Bayesian Bi-level Sparse Group Regressions for Macroeconomic Density Forecasting," Papers 2404.02671, arXiv.org, revised Nov 2024.
  84. Saeed Zaman, 2019. "Cyclical versus Acyclical Inflation: A Deeper Dive," Economic Commentary, Federal Reserve Bank of Cleveland, issue September.
  85. Zhiyong Fan & Yushan Hu & Penglong Zhang, 2022. "Measuring China's core inflation for forecasting purposes: taking persistence as weight," Empirical Economics, Springer, vol. 63(1), pages 93-111, July.
  86. Mazumder, Sandeep, 2017. "Output gains from accelerating core inflation," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 63-74.
  87. Günes Kamber & Benjamin Wong, 2016. "Testing an Interpretation of Core Inflation Measures in New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2016/06, Reserve Bank of New Zealand.
  88. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
  89. Andreas Hornstein & Francisco J. Ruge-Murcia & Alexander L. Wolman, 2024. "The Relationship Between Inflation and the Distribution of Relative Price Changes," Working Paper 24-15, Federal Reserve Bank of Richmond.
  90. Egorov D.A. (Егоров, Д.А.) & Perevyshina E.A. (Перевышина, Е.А.), 2016. "Modelling of Inflationary Processes in Russia [Моделирование Инфляционных Процессов В России]," Working Papers 2138, Russian Presidential Academy of National Economy and Public Administration.
  91. repec:uta:papers:2023_04 is not listed on IDEAS
  92. Marco Hoeberichts & Jan Willem van den End, 2024. "Detecting turning points in the inflation cycle," Working Papers 808, DNB.
  93. Bruno Feunou & Jean-Sébastien Fontaine, 2021. "Debt-Secular Economic Changes and Bond Yields," Staff Working Papers 21-14, Bank of Canada.
  94. Allayioti, Anastasia & Gόrnicka, Lucyna & Holton, Sarah & Martínez Hernández, Catalina, 2024. "Monetary policy pass-through to consumer prices: evidence from granular price data," Working Paper Series 3003, European Central Bank.
  95. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
  96. Ciccarelli, Matteo & Darracq Pariès, Matthieu & Priftis, Romanos & Angelini, Elena & Bańbura, Marta & Bokan, Nikola & Fagan, Gabriel & Gumiel, José Emilio & Kornprobst, Antoine & Lalik, Magdalena & Mo, 2024. "ECB macroeconometric models for forecasting and policy analysis," Occasional Paper Series 344, European Central Bank.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.