Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Local Approach to Causal Inference under Network Interference   We propose a new nonparametric modeling framework for causal inference when
outcomes depend on how agents are linked in a social or economic network. Such
network interference describes a large literature on treatment spillovers,
social interactions, social learning, information diffusion, disease and
financial contagion, social capital formation, and more. Our approach works by
first characterizing how an agent is linked in the network using the
configuration of other agents and connections nearby as measured by path
distance. The impact of a policy or treatment assignment is then learned by
pooling outcome data across similarly configured agents. We demonstrate the
approach by proposing an asymptotically valid test for the hypothesis of policy
irrelevance/no treatment effects and bounding the mean-squared error of a
k-nearest-neighbor estimator for the average or distributional policy
effect/treatment response.

8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn