Institutional Affiliation: Massachusetts Institute of Technology
|Exact P-values for Network Interference|
with , : w21313
We study the calculation of exact p-values for a large class of non-sharp null hypotheses about treatment effects in a setting with data from experiments involving members of a single connected network. The class includes null hypotheses that limit the effect of one unit's treatment status on another according to the distance between units; for example, the hypothesis might specify that the treatment status of immediate neighbors has no effect, or that units more than two edges away have no effect. We also consider hypotheses concerning the validity of sparsification of a network (for example based on the strength of ties) and hypotheses restricting heterogeneity in peer effects (so that, for example, only the number or fraction treated among neighboring units matters). Our general approa...
Published: Susan Athey & Dean Eckles & Guido W. Imbens, 2018. "Exact -Values for Network Interference," Journal of the American Statistical Association, vol 113(521), pages 230-240. citation courtesy of