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Empirical Process Results for Exchangeable Arrays

Laurent Davezies, Xavier D'Haultfoeuille, Yannick Guyonvarch

arXiv 24 Jun 2019 · Mathematics — Statistics Theory · publishedThe Annals of Statistics (2021) · 7 citations (OpenAlex)

arXiv:1906.11293 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Exchangeable arrays are natural tools to model common forms of dependence between units of a sample. Jointly exchangeable arrays are well suited to dyadic data, where observed random variables are indexed by two units from the same population. Examples include trade flows between countries or relationships in a network. Separately exchangeable arrays are well suited to multiway clustering, where units sharing the same cluster (e.g. geographical areas or sectors of activity when considering individual wages) may be dependent in an unrestricted way. We prove uniform laws of large numbers and central limit theorems for such exchangeable arrays. We obtain these results under the same moment restrictions and conditions on the class of functions as those typically assumed with i.i.d. data. We also show the convergence of bootstrap processes adapted to such arrays.

Citation extraction

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Menzel (2019) Bootstrap with cluster-dependence in two or more dimensions1.00063100%
2van der Vaart (2000) Asymptotics Statistics, Cambridge University Press1.00053100%
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4Santos Silva \ Tenreyro (2006) `The log of gravity', The Review of Economics and statistics 88(4), 641–6580.87492100%
5Giné \ Nickl (2015) Mathematical Foundations of Infinite-Dimensional Statistical Models, Cambridge Series in Statistical and Probabilistic Mathemati…0.8434375%
6McCullagh (2000) `Resampling and exchangeable arrays', Bernoulli 6(2), 285–3010.84333100%
7Owen (2007) `The pigeonhole bootstrap', The Annals of Applied Statistics 1(2), 386–4110.84333100%
8de la Peña \ Giné (1999) Decoupling0.7373367%
9Aldous (1981) `Representations for partially exchangeable arrays of random variables', Journal of Multivariate Analysis 11(4), pp0.64422100%
10Eagleson \ Weber (1978) `Limit theorems for weakly exchangeable arrays', Mathematical Proceedings of the Cambridge Philosophical Society 84(1), 123–1300.64422100%

Showing the top 10 of 44 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Standard Errors for Two-Way Clustering with Serially Correlated Time Effects1.00063
2On Using The Two-Way Cluster-Robust Standard Errors1.00063
3A New Bayesian Bootstrap for Quantitative Trade and Spatial Models0.971125
4Network Data0.87462
5Gaussian Approximation for Maximum Score and Non-Smooth M-Estimators with Multiway Dependence0.84344
6Dyadic Regression0.84333
7Sparse network asymptotics for logistic regression0.84333
8Inference for high-dimensional exchangeable arrays0.776154
9Estimation and Inference for Causal Functions with Multiway Clustered Data0.73743
10Algorithmic Subsampling under Multiway Clustering0.64452