Showing 1 - 7 of 7
Published as article in: Journal of Economic Dynamics and Control (2008), 32(May), pp. 1466-1488.
Persistent link: https://www.econbiz.de/10009651089
This paper uses a structural approach based on the indirect inference principle to estimate a standard version of the new Keynesian monetary (NKM) model augmented with term structure using both revised and real-time data. The estimation results show that the term spread and policy inertia are...
Persistent link: https://www.econbiz.de/10008480361
Published as an article in: Spanish Economic Review, 2008, vol. 10, issue 4, pages 251-277.
Persistent link: https://www.econbiz.de/10004972643
This paper estimates a standard version of the New Keynesian monetary (NKM) model under alternative specifications of the monetary policy rule using U.S. and Eurozone data. The estimation procedure implemented is a classical method based on the indirect inference principle. An unrestricted VAR...
Persistent link: https://www.econbiz.de/10004972692
Revisions of US macroeconomic data are not white-noise. They are persistent, correlated with real-time data, and with high variability (around 80% of volatility observed in US real-time data). Their business cycle effects are examined in an estimated DSGE model extended with both real-time and...
Persistent link: https://www.econbiz.de/10011158373
This paper proposes an extended version of the basic New Keynesian monetary (NKM) model which contemplates revision processes of output and inflation data in order to assess the importance of data revisions on the estimated monetary policy rule parameters and the transmission of policy shocks....
Persistent link: https://www.econbiz.de/10011158384
Wage stickiness is incorporated to a New-Keynesian model with variable capital to drive endogenous unemployment uctuations de ned as the log di¤erence between aggregate labor supply and aggregate labor demand. We estimated such model using Bayesian econometric techniques and quarterly U.S....
Persistent link: https://www.econbiz.de/10011158386