Frequency-Dependent Real-Time Effects of Uncertainty in the United States: Evidence from Daily Data
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- Yanele Nyamela & Vasilios Plakandaras & Rangan Gupta, 2020. "Frequency-dependent real-time effects of uncertainty in the United States: evidence from daily data," Applied Economics Letters, Taylor & Francis Journals, vol. 27(19), pages 1562-1566, November.
References listed on IDEAS
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- Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
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More about this item
Keywords
Uncertainty; Frequency-Dependence; Daily Data;All these keywords.
JEL classification:
- 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
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ETS-2018-06-11 (Econometric Time Series)
- NEP-MAC-2018-06-11 (Macroeconomics)
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