Identifying high-frequency shocks with Bayesian mixed-frequency VARs
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Abstract
Suggested Citation
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Other versions of this item:
- Alessia Paccagnini & Fabio Parla, 2021. "Identifying High-Frequency Shockswith Bayesian Mixed-Frequency VARs," Bank of Lithuania Working Paper Series 97, Bank of Lithuania.
Citations
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Cited by:
- Alain Hecq & Marie Ternes & Ines Wilms, 2023. "Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions," Papers 2301.10592, arXiv.org, revised Nov 2024.
- Alessandri, Piergiorgio & Gazzani, Andrea & Vicondoa, Alejandro, 2023.
"Are the effects of uncertainty shocks big or small?,"
European Economic Review, Elsevier, vol. 158(C).
- Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2023. "Are the Effects of Uncertainty Shocks Big or Small?," Documentos de Trabajo 569, Instituto de Economia. Pontificia Universidad Católica de Chile..
- Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2023. "Are the Effects of Uncertainty Shocks Big or Small?," Working Papers 244, Red Nacional de Investigadores en Economía (RedNIE).
More about this item
Keywords
Bayesian mixed-frequency VAR; MIDAS; uncertainty shocks; macro-financial linkages;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
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- 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-ECM-2021-03-22 (Econometrics)
- NEP-ETS-2021-03-22 (Econometric Time Series)
- NEP-MAC-2021-03-22 (Macroeconomics)
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