gapHP

Computes a HP filtered output gap.

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

gapHP function

<dl><dt>x</dt>
<dd>A time series object containing gdp.</dd>
<dt>lambda</dt>
<dd>The smoothing parameter for the application of the HP filter. If not supplied,
<code>lambda = 6.25</code> for yearly data, <code>lambda = 1600</code> for quarterly data, and <code>lambda = 129600</code>
for monthly data.</dd>
<dt>end</dt>
<dd>(optional) A two element vector containing a year and a period specifying the end point for the
filter application.</dd>
<dt>start</dt>
<dd>(optional) A two element vector containing a year and a period specifying the start point for the
filter application.</dd></dl>

Arguments

HP-filter output gap — gapHP

<dl>

<dt>x</dt>
<dd>A time series object containing gdp.</dd>


<dt>lambda</dt>
<dd>The smoothing parameter for the application of the HP filter. If not supplied,
<code>lambda = 6.25</code> for yearly data, <code>lambda = 1600</code> for quarterly data, and <code>lambda = 129600</code>
for monthly data.</dd>


<dt>end</dt>
<dd>(optional) A two element vector containing a year and a period specifying the end point for the
filter application.</dd>


<dt>start</dt>
<dd>(optional) A two element vector containing a year and a period specifying the start point for the
filter application.</dd>

</dl>

gapHP: HP-filter output gap

Description

Usage

Value

Arguments