Common and Idiosyncratic Inflation
Author
Abstract
Suggested Citation
DOI: 10.1002/jae.70023
Download full text from publisher
References listed on IDEAS
- repec:bla:revinw:v:48:y:2002:i:2:p:217-33 is not listed on IDEAS
- 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.
- Cristadoro, Riccardo & Forni, Mario & Reichlin, Lucrezia & Veronese, Giovanni, 2005.
"A Core Inflation Indicator for the Euro Area,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 539-560, June.
- Riccardo Cristadoro & Mario Forni & Lucrezia Reichlin & Giovanni Veronese, 2005. "A core inflation indicator for the Euro area," ULB Institutional Repository 2013/10131, ULB -- Universite Libre de Bruxelles.
- Matteo Barigozzi & Matteo Luciani, 2023. "Measuring the Output Gap using Large Datasets," The Review of Economics and Statistics, MIT Press, vol. 105(6), pages 1500-1514, November.
- Martín Almuzara & Argia M. Sbordone, 2022. "Inflation Persistence: How Much Is There and Where Is It Coming From?," Liberty Street Economics 20220420, Federal Reserve Bank of New York.
- Ricardo Reis & Mark W. Watson, 2010.
"Relative Goods' Prices, Pure Inflation, and the Phillips Correlation,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 128-157, July.
- Ricardo Reis & Mark W. Watson, 2007. "Relative Goods' Prices, Pure Inflation, and the Phillips Correlation," NBER Working Papers 13615, National Bureau of Economic Research, Inc.
- Alan J. Auerbach & Yuriy Gorodnichenko, 2013.
"Corrigendum: Measuring the Output Responses to Fiscal Policy,"
American Economic Journal: Economic Policy, American Economic Association, vol. 5(3), pages 320-322, August.
- Alan J. Auerbach & Yuriy Gorodnichenko, 2010. "Measuring the Output Responses to Fiscal Policy," NBER Chapters, in: Fiscal Policy (Trans-Atlantic Public Economics Seminar, TAPES), pages 1-27, National Bureau of Economic Research, Inc.
- Alan J. Auerbach & Yuriy Gorodnichenko, 2012. "Measuring the Output Responses to Fiscal Policy," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 1-27, May.
- Alan J. Auerbach & Yuriy Gorodnichenko, 2010. "Measuring the Output Responses to Fiscal Policy," NBER Working Papers 16311, National Bureau of Economic Research, Inc.
- 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.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2020. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Staff Working Papers 20-45, Bank of Canada.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Discussion Paper Series 2301, Institute of Economic Research, Korea University.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2022. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," CAMA Working Papers 2022-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Jean Boivin & Marc P. Giannoni & Ilian Mihov, 2009.
"Sticky Prices and Monetary Policy: Evidence from Disaggregated US Data,"
American Economic Review, American Economic Association, vol. 99(1), pages 350-384, March.
- Boivin, Jean & Giannoni, Marc P. & Mihov, Ilian, 2006. "Sticky prices and monetary policy: Evidence from disaggregated US data," CFS Working Paper Series 2007/14, Center for Financial Studies (CFS).
- Giannoni, Marc & Mihov, Ilian & Boivin, Jean, 2007. "Sticky Prices and Monetary Policy: Evidence from Disaggregated US Data," CEPR Discussion Papers 6101, Centre for Economic Policy Research.
- Jean Boivin & Marc Giannoni & Ilian Mihov, 2007. "Sticky Prices and Monetary Policy: Evidence from Disaggregated U.S. Data," NBER Working Papers 12824, National Bureau of Economic Research, Inc.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Tom Doan, 2025. "DMARIANO: RATS procedure to compute Diebold-Mariano Forecast Comparison Test," Statistical Software Components RTS00055, Boston College Department of Economics.
- Matteo Barigozzi & Matteo Luciani, 2019.
"Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm,"
Papers
1910.03821, arXiv.org, revised Sep 2024.
- Matteo Barigozzi & Matteo Luciani, 2024. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Finance and Economics Discussion Series 2024-086, Board of Governors of the Federal Reserve System (U.S.).
- Karl Whelan, 2002. "A Guide To U.S. Chain Aggregated Nipa Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(2), pages 217-233, June.
- Raffaella Giacomini & Halbert White, 2006.
"Tests of Conditional Predictive Ability,"
Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
- Giacomini, Raffaella & White, Halbert, 2003. "Tests of Conditional Predictive Ability," University of California at San Diego, Economics Working Paper Series qt5jk0j5jh, Department of Economics, UC San Diego.
- Raffaella Giacomini & Halbert White, 2003. "Tests of Conditional Predictive Ability," Econometrics 0308001, University Library of Munich, Germany.
- Raffaella Giacomini & Halbert White, 2003. "Tests of conditional predictive ability," Boston College Working Papers in Economics 572, Boston College Department of Economics.
- Luciani, Matteo, 2014.
"Forecasting with approximate dynamic factor models: The role of non-pervasive shocks,"
International Journal of Forecasting, Elsevier, vol. 30(1), pages 20-29.
- Matteo Luciani, 2011. "Forecasting with Approximate Dynamic Factor Models: the Role of Non-Pervasive Shocks," Working Papers ECARES ECARES 2011‐022, ULB -- Universite Libre de Bruxelles.
- James H. Stock & Mark W. Watson, 2007.
"Erratum to "Why Has U.S. Inflation Become Harder to Forecast?","
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
- James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
- James H. Stock & Mark W. Watson, 2006. "Why Has U.S. Inflation Become Harder to Forecast?," NBER Working Papers 12324, National Bureau of Economic Research, Inc.
- Claudio Borio & Piti Disyatat & Dora Xia & Egon Zakrajšek, 2021. "Monetary policy, relative prices and inflation control: flexibility born out of success," BIS Quarterly Review, Bank for International Settlements, September.
- Kim, Chang-Jin & Kim, Jaeho, 2022. "Trend-Cycle Decompositions Of Real Gdp Revisited: Classical And Bayesian Perspectives On An Unsolved Puzzle," Macroeconomic Dynamics, Cambridge University Press, vol. 26(2), pages 394-418, March.
- Boivin, Jean & Ng, Serena, 2006.
"Are more data always better for factor analysis?,"
Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
- Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
- James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
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.- Bae, Juhee, 2024. "Factor-augmented forecasting in big data," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1660-1688.
- Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
- 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.
- Andreas Joseph & Eleni Kalamara & George Kapetanios & Galina Potjagailo & Chiranjit Chakraborty, 2021. "Forecasting UK inflation bottom up," Bank of England working papers 915, Bank of England.
- Matei Demetrescu & Christoph Hanck & Robinson Kruse‐Becher, 2022. "Robust inference under time‐varying volatility: A real‐time evaluation of professional forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1010-1030, August.
- Nonejad, Nima, 2022. "Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study," International Review of Financial Analysis, Elsevier, vol. 83(C).
- Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
- Gibbs, Christopher G. & Vasnev, Andrey L., 2024.
"Conditionally optimal weights and forward-looking approaches to combining forecasts,"
International Journal of Forecasting, Elsevier, vol. 40(4), pages 1734-1751.
- Christopher G. Gibbs & Andrey L. Vasnev, 2017. "Conditionally Optimal Weights and Forward-Looking Approaches to Combining Forecasts," Discussion Papers 2017-10, School of Economics, The University of New South Wales.
- Hervé Le Bihan & Danilo Leiva-León & Matías Pacce, 2023.
"Underlying inflation and asymetric risks,"
Working Papers
2319, Banco de España.
- Le Bihan, Hervé & Leiva-Leon, Danilo & Pacce, Matías, 2023. "Underlying inflation and asymmetric risks," Working Paper Series 2848, European Central Bank.
- Marlene Amstad & Simon M. Potter & Robert W. Rich, 2017. "The New York Fed Staff Underlying Inflation Gauge (UIG)," Economic Policy Review, Federal Reserve Bank of New York, issue 23-2, pages 1-32.
- Philippe Goulet Coulombe, 2024.
"The macroeconomy as a random forest,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 401-421, April.
- Philippe Goulet Coulombe, 2020. "The Macroeconomy as a Random Forest," Papers 2006.12724, arXiv.org, revised Mar 2021.
- Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
- Duc Do, Nguyen, 2024. "Money/asset ratio as a predictor of inflation," The Quarterly Review of Economics and Finance, Elsevier, vol. 97(C).
- Ibarra, Raul, 2012. "Do disaggregated CPI data improve the accuracy of inflation forecasts?," Economic Modelling, Elsevier, vol. 29(4), pages 1305-1313.
- Alessandro Girardi & Roberto Golinelli & Carmine Pappalardo, 2017.
"The role of indicator selection in nowcasting euro-area GDP in pseudo-real time,"
Empirical Economics, Springer, vol. 53(1), pages 79-99, August.
- A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
- Aydin Yakut, Dilan, 2025. "Beyond Aggregates: A Dual Lens on Eurozone Trend Inflation," Research Technical Papers 3/RT/25, Central Bank of Ireland.
- Nathan Goldstein & Ben‐Zion Zilberfarb, 2023. "The closer we get, the better we are?," Economic Inquiry, Western Economic Association International, vol. 61(2), pages 364-376, April.
- Cepni, Oguzhan & Clements, Michael P., 2024.
"How local is the local inflation factor? Evidence from emerging European countries,"
International Journal of Forecasting, Elsevier, vol. 40(1), pages 160-183.
- Cepni, Oguzhan & Clements, Michael P., 2021. "How Local is the Local Inflation Factor? Evidence from Emerging European Countries," Working Papers 8-2021, Copenhagen Business School, Department of Economics.
- Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
- Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
- Alessandro Barbarino & Travis J. Berge & Andrea Stella, 2024. "The stability and economic relevance of output gap estimates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1065-1081, September.
- Dur, Ayşe & Martínez García, Enrique, 2020.
"Mind the gap!—A monetarist view of the open-economy Phillips curve,"
Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
- Ayse Dur & Enrique Martínez García, 2020. "Mind the Gap!—A Monetarist View of the Open-Economy Phillips Curve," Globalization Institute Working Papers 392, Federal Reserve Bank of Dallas.
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:wly:japmet:v:41:y:2026:i:2:p:156-168. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/wly/japmet/v41y2026i2p156-168.html