Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unifying Design-based Inference: On Bounding and Estimating the Variance
  of any Linear Estimator in any Experimental Design   This paper provides a design-based framework for variance (bound) estimation
in experimental analysis. Results are applicable to virtually any combination
of experimental design, linear estimator (e.g., difference-in-means, OLS, WLS)
and variance bound, allowing for unified treatment and a basis for systematic
study and comparison of designs using matrix spectral analysis. A proposed
variance estimator reproduces Eicker-Huber-White (aka. "robust",
"heteroskedastic consistent", "sandwich", "White", "Huber-White", "HC", etc.)
standard errors and "cluster-robust" standard errors as special cases. While
past work has shown algebraic equivalences between design-based and the
so-called "robust" standard errors under some designs, this paper motivates
them for a wide array of design-estimator-bound triplets. In so doing, it
provides a clearer and more general motivation for variance estimators.

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The categories of this paper are: quant-ph
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The categories of this paper are: adap-org
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The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
1
The categories of this paper are: cs
2
The categories of this paper are: math
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The categories of this paper are: chem-ph
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The categories of this paper are: funct-an
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
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The categories of this paper are: hep-lat
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The categories of this paper are: alg-geom
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The categories of this paper are: math-ph