list2derivs

Transforms a list of matrices d0, d1, d2, d3, d4 to a <code>derivs</code> object.

Framework to fit distributional stochastic frontier models. Casts the stochastic frontier model into the flexible framework of distributional regression or otherwise known as General Additive Models of Location, Scale and Shape (GAMLSS). Allows for linear, non-linear, random and spatial effects on all the parameters of the distribution of the output, e.g. effects on the production or cost function, heterogeneity of the noise and inefficiency. Available distributions are the normal-halfnormal and normal-exponential distribution. Estimation via the fast and reliable routines of the 'mgcv' package. For more details see <doi:10.1016/j.csda.2023.107796>.

Rouven Schmidt

dsfa

Distributional Stochastic Frontier Analysis

list2derivs function

<dl><dt>f</dt>
<dd>list of matrices; d0, d1, d2, d3, d4</dd>
<dt>deriv_order</dt>
<dd>integer; maximum order of derivative. Available are <code>0</code>,<code>2</code> and <code>4</code>.</dd></dl>

Arguments

list2derivs — list2derivs

<dl>

<dt>f</dt>
<dd>list of matrices; d0, d1, d2, d3, d4</dd>


<dt>deriv_order</dt>
<dd>integer; maximum order of derivative. Available are <code>0</code>,<code>2</code> and <code>4</code>.</dd>

</dl>

list2derivs: list2derivs

Description

Usage

Value

Arguments

See Also

Examples