Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robust and Efficient Estimation of Potential Outcome Means under Random
  Assignment   We study efficiency improvements in estimating a vector of potential outcome
means using linear regression adjustment when there are more than two treatment
levels. We show that using separate regression adjustments for each assignment
level is never worse, asymptotically, than using the subsample averages. We
also show that separate regression adjustment improves over pooled regression
adjustment except in the obvious case where slope parameters in the linear
projections are identical across the different assignment levels. We also
characterize the class of nonlinear regression adjustment methods that preserve
consistency of the potential outcome means despite arbitrary misspecification
of the conditional mean functions. Finally, we apply this general potential
outcomes framework to a contingent valuation study for estimating lower bound
mean willingness to pay for an oil spill prevention program in California.

30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math
9
The categories of this paper are: nlin
1
The categories of this paper are: cs
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom