Impact estimates for static spatial panel data models in <Emphasis FontCategory="SansSerif">R

In the present note we demonstrate how to implement the Lee and Yu (J Econom 154:165–185, <CitationRef CitationID="CR8">2010</CitationRef>) procedure for fixed effects spatial panel data models available from the <Emphasis FontCategory="SansSerif">R (R Development Core Team, <ExternalRef> <RefSource>http://www.R-project.org/</RefSource> <RefTarget Address="http://www.R-project.org/" TargetType="URL"/> </ExternalRef>, <CitationRef CitationID="CR16">2012</CitationRef>) package <Emphasis Type="Bold">splm  (Millo and Piras, J Stat Soft 47(1):1–38, <CitationRef CitationID="CR11">2012</CitationRef>). Additionally, we also show how to compute the impact estimates (Kelejian et al. Open Econ Rev 17(4–5):423–441, <CitationRef CitationID="CR7">2006</CitationRef>; LeSage and Pace, Introduction to Spatial Econometrics. CRC Press, Boca Raton, <CitationRef CitationID="CR9">2009</CitationRef>). Unlike <Emphasis FontCategory="SansSerif">Matlab  (MATLAB version 7.13, <CitationRef CitationID="CR15">2011</CitationRef>), there was no <Emphasis FontCategory="SansSerif">R function specific to static panel data models for the calculation of the impact measures. After receiving numerous requests from the users of <Emphasis Type="Bold">splm, we decided to extend the cross sectional functions available from <Emphasis Type="Bold">spdep  (Bivand, <Emphasis FontCategory="SansSerif">R package version 0.5-56, <CitationRef CitationID="CR3">2013</CitationRef>) to spatial panel data models. Copyright Springer-Verlag Berlin Heidelberg 2014