©2012 Dustri-Verlag Dr. K. Feistle ISSN 0946-1965 DOI 10.5414/CPP50085 e-pub: December 28, 2011

Abstract The global average treatment effect (GATE) is a primary quantity of interest in the study causal inference under network interference. With correctly specified exposure model interference, Horvitz–Thompson (HT) and Hájek estimators GATE are unbiased consistent, respectively, yet known to exhibit extreme variance many designs settings interest. fixed clustering interference graph, graph...

Two of the major assumptions that statistical tests make (random sampling, distribution of the data) are not tenable for most typological data. We suggest to use randomization tests, which avoid these assumptions. Randomization is applicable to frequency data, rank data, scalar measurements and ratings, so most typological data can be analyzed with the same tools. We provided a free computer pr...