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MIXED‐FREQUENCY STRUCTURAL MODELS: IDENTIFICATION, ESTIMATION, AND POLICY ANALYSIS
11 references·6 citing·46 second hop
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this work references cited by second hop

References

  • 2000Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory*4,631 cited
  • 2007Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach4,628 cited
  • 2010Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach1,507 cited
  • 1995Some Empirical Evidence on the Effects of Shocks to Monetary Policy on Exchange Rates1,127 cited
  • 2015Monetary policy, inflation and the business cycle454 cited
  • 1999Some Consequences of Temporal Aggregation in Empirical Analysis271 cited
  • 2004Estimating the Euler equation for output195 cited
  • 1984Systematic sampling and temporal aggregation in time series models170 cited
  • 2009A Coincident Index, Common Factors, and Monthly Real GDP*164 cited
  • 1987Forecasting Aggregated Vector ARMA Processes161 cited
  • 1986Temporal Aggregation and Structural Inference in Macroeconomics149 cited

Cited by

  • 2018Economic Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model30 cited
  • 2016Exploiting the monthly data flow in structural forecasting25 cited
  • 2016Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs23 cited
  • 2023

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A Mixed Frequency BVAR for the Euro Area Labour Market*
20 cited
  • 2016The estimation of continuous time models with mixed frequency data19 cited
  • 2015Mixed Frequency Structural Vector Auto-Regressive Models18 cited