Eric Neumayer, LSE, Department of Geography and Environment
Thomas Plümper, Vienna University of Economics, Department of Socioeconomics
Read our paper Making Spatial Analysis Operational: Ado-files for Generating Spatial Effect Variables in Monadic and Dyadic Data, which is published in Stata Journal, 10 (4), 2010, pp. 585-605 for an overview of the ado-files.
Neumayer and Plümper (2010) explains spatial effects in dyadic data in more detail, while Plümper and Neumayer (2010) and Neumayer and Plümper (2012, 2016) provide general model specification advice.
Monadic data:
spmon
Undirected dyadic data:
spundir
Directed dyadic data:
spagg (aggregate source or target contagion)
spspc (specific source or target contagion)
spdir (directed dyad contagion)
References:
Neumayer, Eric and Thomas Plümper. 2010. Spatial Effects in Dyadic Data, International Organization, 64 (1), pp. 145-166. (pdf)
Neumayer, Eric and Thomas Plümper. 2012. Conditional Spatial Policy Dependence: Theory and Model Specification, Comparative Political Studies, 47 (5), pp. 819-849 (pdf)
Neumayer, Eric and Thomas Plümper. 2016. W. Political Science Research and Methods, 4 (1), pp. 175-193 (pdf)
Plümper, Thomas and Eric Neumayer. 2010. Model Specification in the Analysis of Spatial Dependence, European Journal of Political Research, 49 (3), pp. 418-442 (pdf)