Has the Volatility of U.S. Inflation Changed and How?
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- Grassi Stefano & Proietti Tommaso, 2010. "Has the Volatility of U.S. Inflation Changed and How?," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-22, September.
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Citations
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Cited by:
- 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.
- James M. Nason & Gregor W. Smith, 2013. "Measuring The Slowly Evolving Trend In Us Inflation With Professional Forecasts," Working Paper 1316, Economics Department, Queen's University.
- James M. Nason & Gregor W. Smith, 2014. "Measuring the Slowly Evolving Trend in US Inflation with Professional Forecasts," CAMA Working Papers 2014-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Robert C. M. Beyer & Lazar Milivojevic, 2023.
"Dynamics and synchronization of global equilibrium interest rates,"
Applied Economics, Taylor & Francis Journals, vol. 55(28), pages 3195-3214, June.
- Beyer,Robert Carl Michael & Milivojevic,Lazar, 2020. "Dynamics and Synchronization of Global Equilibrium Interest Rates," Policy Research Working Paper Series 9489, The World Bank.
- Beyer, Robert & Milivojevic, Lazar, 2021. "Dynamics and synchronization of global equilibrium interest rates," IMFS Working Paper Series 146, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Stefano Grassi & Nima Nonejad & Paolo Santucci De Magistris, 2017.
"Forecasting With the Standardized Self‐Perturbed Kalman Filter,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 318-341, March.
- Stefano Grassi & Nima Nonejad & Paolo Santucci de Magistris, 2014. "Forecasting with the Standardized Self-Perturbed Kalman Filter," Studies in Economics 1405, School of Economics, University of Kent.
- Stefano Grassi & Nima Nonejad & Paolo Santucci de Magistris, 2014. "Forecasting with the Standardized Self-Perturbed Kalman Filter," CREATES Research Papers 2014-12, Department of Economics and Business Economics, Aarhus University.
- 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.
- Elmar Mertens & James M Nason, 2015. "Inflation and Professional Forecast Dynamics: An Evaluation of Stickiness, Persistence, and Volatility," CAMA Working Papers 2015-06, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Elmar Mertens & James M. Nason, 2018. "Inflation and professional forecast dynamics: an evaluation of stickiness, persistence, and volatility," BIS Working Papers 713, Bank for International Settlements.
- Elmar Mertens & James M. Nason, 2017. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," CAMA Working Papers 2017-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Christine Garnier & Elmar Mertens & Edward Nelson, 2015.
"Trend Inflation in Advanced Economies,"
International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 65-136, September.
- Christine Garnier & Elmar Mertens & Edward Nelson, 2013. "Trend inflation in advanced economies," Finance and Economics Discussion Series 2013-74, Board of Governors of the Federal Reserve System (U.S.).
- Nonejad, Nima, 2014. "Particle Markov Chain Monte Carlo Techniques of Unobserved Component Time Series Models Using Ox," MPRA Paper 55662, University Library of Munich, Germany.
- Eric Eisenstat & Rodney W. Strachan, 2016.
"Modelling Inflation Volatility,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(5), pages 805-820, August.
- Eric Eisenstat & Rodney W. Strachan, 2014. "Modelling Inflation Volatility," CAMA Working Papers 2014-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Eric Eisenstat & Rodney Strachan, 2014. "Modelling Inflation Volatility," Working Paper series 43_14, Rimini Centre for Economic Analysis.
- Eric Eisenstat & Rodney W. Strachan, 2014. "Modelling Inflation Volatility," CAMA Working Papers 2014-68, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Nima Nonejad, 2013. "Particle Markov Chain Monte Carlo Techniques of Unobserved Component Time Series Models Using Ox," CREATES Research Papers 2013-27, Department of Economics and Business Economics, Aarhus University.
- Nonejad, Nima, 2015. "Flexible model comparison of unobserved components models using particle Gibbs with ancestor sampling," Economics Letters, Elsevier, vol. 133(C), pages 35-39.
- Bouakez, Hafedh & Essid, Badye & Normandin, Michel, 2013.
"Stock returns and monetary policy: Are there any ties?,"
Journal of Macroeconomics, Elsevier, vol. 36(C), pages 33-50.
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More about this item
Keywords
Marginal Likelihood; Bayesian Model Comparison; Stochastic Volatility; Great Moderation; Inflation Persistence;All these keywords.
JEL classification:
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2008-11-11 (Central Banking)
- NEP-ECM-2008-11-11 (Econometrics)
- NEP-MAC-2008-11-11 (Macroeconomics)
- NEP-MON-2008-11-11 (Monetary Economics)
Statistics
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