Estimating US Monetary Policy Shocks Using a Factor-Augmented Vector Autoregression: An EM Algorithm Approach
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- Bork, Lasse, 2009. "Estimating US Monetary Policy Shocks Using a Factor-Augmented Vector Autoregression: An EM Algorithm Approach," Finance Research Group Working Papers F-2009-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
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More about this item
Keywords
Monetary policy; large cross-sections; factor-augmented vector autoregression; EM algorithm; state space;All these keywords.
JEL classification:
- E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
- E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
- E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2009-03-22 (Central Banking)
- NEP-MAC-2009-03-22 (Macroeconomics)
Statistics
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