eignor

Maximum eigenvalue row normalization of a spatial weights matrix.

Spatial model calculation for static and dynamic panel data models, weights matrix creation and Bayesian model comparison.
Bayesian model comparison methods were described by 'LeSage' (2014) <doi:10.1016/j.spasta.2014.02.002>.
The 'Lee'-'Yu' transformation approach is described in 'Yu', 'De Jong' and 'Lee' (2008) <doi:10.1016/j.jeconom.2008.08.002>, 'Lee' and 'Yu' (2010) <doi:10.1016/j.jeconom.2009.08.001> and 'Lee' and 'Yu' (2010) <doi:10.1017/S0266466609100099>.

Rozeta Simonovska

SDPDmod

Spatial Dynamic Panel Data Modeling

eignor function

<dl><dt>W</dt>
<dd>spatial weights matrix</dd></dl>

Arguments

Author

Maximum eigenvalue normalization — eignor

<dl>

<dt>W</dt>
<dd>spatial weights matrix</dd>

</dl>

eignor: Maximum eigenvalue normalization

Description

Usage

Value

Arguments

Author

See Also

Examples