The great moderation: updated evidence with joint tests for multiple structural changes in variance and persistence
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DOI: 10.1007/s00181-021-02047-x
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- Pierre Perron & Yohei Yamamoto, 2020. "The Great Moderation: Updated Evidence with Joint Tests for Multiple Structural Changes in Variance and Persistence," Boston University - Department of Economics - Working Papers Series WP2020-008, Boston University - Department of Economics.
- Perron, Pierre & Yamamoto, Yohei & 山本, 庸平, 2019. "The Great Moderation: Updated Evidence with Joint Tests for Multiple Structural Changes in Variance and Persistence," Discussion paper series HIAS-E-90, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
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- Mohitosh Kejriwal & Xuewen Yu, 2018. "Bootstrap Procedures for Detecting Multiple Persistance4 Shifts in a heteroskedastic Time Series," Purdue University Economics Working Papers 1308, Purdue University, Department of Economics.
- Mohitosh Kejriwal & Xuewen Yu & Pierre Perron, 2020. "Bootstrap Procedures for Detecting Multiple Persistence Shifts in Heteroskedastic Time Series," Boston University - Department of Economics - Working Papers Series WP2020-009, Boston University - Department of Economics.
- Emilio Congregado & Carmen Díaz-Roldán & Vicente Esteve, 2023.
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- Emilio Congregado & Silviano Carmen Díaz-Roldán & Vicente Esteve, 2023. "Deficit sustainability and the Fiscal Theory of the Price Level: the case of Italy, 1861-2020," Working Papers 2301, Department of Applied Economics II, Universidad de Valencia.
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More about this item
Keywords
The great moderation; The great recession; Multiple structural changes; Joint tests; Structural change; Trend-cycle decomposition;All these keywords.
JEL classification:
- 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
Statistics
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