Dear All,
Could someone clarify what is the difference between the two commands "shock_decomposition" and "conditional_variance_decomposition"?
Thanks!
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shock_decomposition vs conditional_variance_decomposition
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shock_decomposition vs conditional_variance_decomposition
by ilobayesian » Fri May 17, 2013 9:30 am
- ilobayesian
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Re: shock_decomposition vs conditional_variance_decompositio
by jpfeifer » Fri May 17, 2013 6:04 pm
conditional_variance_decomposition performs a forecast error variance decomposition at the specified horizons, i.e. it tells you for example how much of the variance of output is driven by TFP shocks.
shock_decomposition uses the Kalman smoother to compute the most likely shock realizations that lead to the observed values of the data, e.g. at time t=1, 50% of output deviation from steady state is due to a positive technology shock and 50% due to a monetary policy shock.
shock_decomposition uses the Kalman smoother to compute the most likely shock realizations that lead to the observed values of the data, e.g. at time t=1, 50% of output deviation from steady state is due to a positive technology shock and 50% due to a monetary policy shock.
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