results_state

Computes MCMC summary statistics for each state.

internal

Determining potential output and the output gap - two inherently unobservable variables - is a major challenge for macroeconomists. 'sectorgap' features a flexible modeling and estimation framework for a multivariate Bayesian state space model identifying economic output fluctuations consistent with subsectors of the economy. The proposed model is able to capture various correlations between output and a set of aggregate as well as subsector indicators. Estimation of the latent states and parameters is achieved using a simple Gibbs sampling procedure and various plotting options facilitate the assessment of the results. For details on the methodology and an illustrative example, see Streicher (2024) <https://www.research-collection.ethz.ch/handle/20.500.11850/653682>.

Sina Streicher

sectorgap

Consistent Economic Trend Cycle Decomposition

results_state function

<dl><dt>model</dt>
<dd>The return object of the function <code>fitSSM</code> from the package <code>KFAS</code></dd>
<dt>HPDIprob</dt>
<dd>probability of highest posterior density interval, the
default is <code>HPDIprob = 0.68</code></dd>
<dt>state</dt>
<dd>An array with the smoothed state</dd></dl>

Arguments

MCMC summary statistics for states — results_state

<dl>

<dt>model</dt>
<dd>The return object of the function <code>fitSSM</code> from the package <code>KFAS</code></dd>


<dt>HPDIprob</dt>
<dd>probability of highest posterior density interval, the
default is <code>HPDIprob = 0.68</code></dd>


<dt>state</dt>
<dd>An array with the smoothed state</dd>

</dl>

results_state: MCMC summary statistics for states

Description

Usage

Value

Arguments