Time-Varying Persistence of Inflation: Evidence from a Wavelet-Based Approach
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- Boubaker Heni & Canarella Giorgio & Gupta Rangan & Miller Stephen M., 2017. "Time-varying persistence of inflation: evidence from a wavelet-based approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
- Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2016. "Time-Varying Persistence of Inflation: Evidence from a Wavelet-based Approach," Working papers 2016-09, University of Connecticut, Department of Economics.
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- Giorgio Canarella & Luis A. Gil-Alana & Rangan Gupta & Stephen M. Miller, 2020. "Modeling US historical time-series prices and inflation using alternative long-memory approaches," Empirical Economics, Springer, vol. 58(4), pages 1491-1511, April.
- Boubaker Heni & Canarella Giorgio & Gupta Rangan & Miller Stephen M., 2021.
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Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(5), pages 289-310, December.
- Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2018. "Long-Memory Modeling and Forecasting: Evidence from the U.S. Historical Series of Inflation," Working Papers 201869, University of Pretoria, Department of Economics.
- Giorgio Canarella & Luis A. Gil-Alana & Rangan Gupta & Stephen M. Miller, 2016.
"Modeling U.S. Historical Time-Series Prices and Inflation Using Various Linear and Nonlinear Long-Memory Approaches,"
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- Giorgio Canarella & Luis A. Gil-Alaña & Rangan Gupta & Stephen M. Miller, 2017. "Modeling U.S. Historical Time-Series Prices and Inflation Using Various Linear and Nonlinear Long-Memory Approaches," Working papers 2017-13, University of Connecticut, Department of Economics.
- Živkov, Dejan & Balaban, Suzana & Simić, Milica, 2024. "Hedging gas in a multi-frequency semiparametric CVaR portfolio," Research in International Business and Finance, Elsevier, vol. 67(PA).
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More about this item
Keywords
Time-varying long-memory; LSTAR model; MODWT algorithm; ILSE estimator;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2016-07-02 (Central Banking)
- NEP-ECM-2016-07-02 (Econometrics)
- NEP-ETS-2016-07-02 (Econometric Time Series)
- NEP-MAC-2016-07-02 (Macroeconomics)
- NEP-MON-2016-07-02 (Monetary Economics)
Statistics
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