print.ss_model

Prints the model specifications of an object of class
<code>ss_model</code>.

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

print.ss_model function

<dl><dt>x</dt>
<dd>object of class <code>ss_model</code></dd>
<dt>call</dt>
<dd>logical, if <code>TRUE</code>, the call will be printed</dd>
<dt>check</dt>
<dd>logical, if <code>TRUE</code>, the model class will be checked</dd>
<dt>...</dt>
<dd>ignored.</dd></dl>

Arguments

Print ss_model object — print.ss_model

<dl>

<dt>x</dt>
<dd>object of class <code>ss_model</code></dd>


<dt>call</dt>
<dd>logical, if <code>TRUE</code>, the call will be printed</dd>


<dt>check</dt>
<dd>logical, if <code>TRUE</code>, the model class will be checked</dd>


<dt>...</dt>
<dd>ignored.</dd>

</dl>

print.ss_model: Print `ss_model` object

Description

Usage

Value

Arguments