.checkCubs

Checks the input variables for the procedure <code>cubs</code> for consistency and validity.

internal

The output gap indicates the percentage difference between the actual output of an economy and its potential. Since potential output is a latent process, the estimation of the output gap poses a challenge and numerous filtering techniques have been proposed. 'RGAP' facilitates the estimation of a Cobb-Douglas production function type output gap, as suggested by the European Commission (Havik et al. 2014) <https://ideas.repec.org/p/euf/ecopap/0535.html>. To that end, the non-accelerating wage rate of unemployment (NAWRU) and the trend of total factor productivity (TFP) can be estimated in two bivariate unobserved component models by means of Kalman filtering and smoothing. 'RGAP' features a flexible modeling framework for the appropriate state-space models and offers frequentist as well as Bayesian estimation techniques. Additional functionalities include direct access to the 'AMECO' <https://economy-finance.ec.europa.eu/economic-research-and-databases/economic-databases/ameco-database_en> database and automated model selection procedures. See the paper by Streicher (2022) <http://hdl.handle.net/20.500.11850/552089> for details.

Sina Streicher

RGAP

Production Function Output Gap Estimation

.checkCubs function

<dl><dt>tsCU</dt>
<dd>A multiple time series containing three survey time series, the first
element needs to be capacity utilization in industry, see details. Alternatively, a list
of time series can be supplied.</dd>
<dt>tsVA</dt>
<dd>A multiple time series containing three value added series that correspond to
<code>tsCU</code>. Alternatively, a list of time series can be supplied.</dd>
<dt>lambda</dt>
<dd>The smoothing parameter for the application of the HP filter (see details).
If not supplied, <code>lambda = 6.25</code> is used for yearly data and <code>lambda = 1600</code> 
for quarterly data.</dd>
<dt>frequency</dt>
<dd>The frequency of the computed cubs indicator. Possible entries are
<code>frequency = 1</code> (annual), <code>frequency = 4</code> (quarterly). The default is
<code>frequency = 1</code>.</dd></dl>

Arguments

Checks the input variables for the procedure cubs for consistency and validity. — .checkCubs

<dl>

<dt>tsCU</dt>
<dd>A multiple time series containing three survey time series, the first
element needs to be capacity utilization in industry, see details. Alternatively, a list
of time series can be supplied.</dd>


<dt>tsVA</dt>
<dd>A multiple time series containing three value added series that correspond to
<code>tsCU</code>. Alternatively, a list of time series can be supplied.</dd>


<dt>lambda</dt>
<dd>The smoothing parameter for the application of the HP filter (see details).
If not supplied, <code>lambda = 6.25</code> is used for yearly data and <code>lambda = 1600</code> 
for quarterly data.</dd>


<dt>frequency</dt>
<dd>The frequency of the computed cubs indicator. Possible entries are
<code>frequency = 1</code> (annual), <code>frequency = 4</code> (quarterly). The default is
<code>frequency = 1</code>.</dd>

</dl>

.checkCubs: Checks the input variables for the procedure `cubs` for consistency and validity.

Description

Usage

Arguments