Spillover (experiment)

Spillover effects can occur in a variety of different ways. Common applications include the analysis of social network spillovers and geographic spillovers. Examples include the following:

In such examples, treatment in a randomized-control trial can have a direct effect on those who receive the intervention and also a spillover effect on those who were not directly treated.

One important caveat is that this procedure excludes all units whose probability of exposure is zero (ex. a unit that is not connected to any other units), since these numbers end up in the denominator of the IPW regression.

This figure displays a network that illustrates the need for inverse probability weights. Sub-figure A displays a network of 25 nodes, 6 of which are eligible for treatment. Sub-figure B displays each unit's probability of spillover assignment given that 3 units are treated.