Making Spatial Analysis Operational: Commands for Generating Spatial Effect Variables in Monadic and Dyadic Data

Stata Journal, Vol. 10, No. 4, pp. 585-605, 2010

32 Pages Posted: 8 Apr 2010 Last revised: 2 Aug 2012

See all articles by Eric Neumayer

Eric Neumayer

London School of Economics and Political Science (LSE)

Thomas Plumper

affiliation not provided to SSRN

Date Written: March 1, 2010

Abstract

Spatial dependence exists whenever the expected utility of one unit of analysis is affected by the decisions or behavior made by other units of analysis. If so, spatial dependence is ubiquitous in social relations and interactions. Yet, there are surprisingly few social science studies accounting for spatial dependence. This holds true for settings in which researchers use monadic data, where the unit of analysis is the individual unit, agent or actor, and even more so for dyadic data settings, where the unit of analysis is the pair or dyad representing an interaction or a relation between two individual units, agents or actors. Dyadic data offer more complex ways of modeling spatial effect variables than monadic data. The ado-files described in this article facilitate spatial analysis by providing an easy tool for generating, with one command line, spatial effect variables for monadic contagion as well as for all possible forms of contagion in dyadic data.

Suggested Citation

Neumayer, Eric and Plumper, Thomas, Making Spatial Analysis Operational: Commands for Generating Spatial Effect Variables in Monadic and Dyadic Data (March 1, 2010). Stata Journal, Vol. 10, No. 4, pp. 585-605, 2010. Available at SSRN: https://ssrn.com/abstract=1585403

Eric Neumayer (Contact Author)

London School of Economics and Political Science (LSE) ( email )

Houghton Street
London, WC2A 2AE
United Kingdom
+44 207 955 7598 (Phone)
+44 207 955 7412 (Fax)

HOME PAGE: http://personal.lse.ac.uk/neumayer

Thomas Plumper

affiliation not provided to SSRN

No Address Available

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