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Semiparametric Learning of Integral Functionals on Submanifolds

Xiaohong Chen, Wayne Yuan Gao

arXiv 16 Jul 2025 · Econometrics

arXiv:2507.12673 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper studies the semiparametric estimation and inference of integral functionals on submanifolds, which arise naturally in a variety of econometric settings. For linear integral functionals on a regular submanifold, we show that the semiparametric plug-in estimator attains the minimax-optimal convergence rate $n^{-\frac{s}{2s+d-m}}$, where $s$ is the H\"{o}lder smoothness order of the underlying nonparametric function, $d$ is the dimension of the first-stage nonparametric estimation, $m$ is the dimension of the submanifold over which the integral is taken. This rate coincides with the standard minimax-optimal rate for a $(d-m)$-dimensional nonparametric estimation problem, illustrating that integration over the $m$-dimensional manifold effectively reduces the problem's dimensionality. We then provide a general asymptotic normality theorem for linear/nonlinear submanifold integrals, along with a consistent variance estimator. We provide simulation evidence in support of our theoretical results.

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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
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2–- and Pouzo, D (2015) Sieve wald and qlr inferences on semi/nonparametric conditional moment models0.92843100%
3–- and Reiss, M (2011) On rate optimality for ill-posed inverse problems in econometrics0.8746367%
4–-, –- and Sun, Y (2014) Sieve inference on possibly misspecified semi-nonparametric time series models0.8558462%
5–- (1993) Optimal rates of convergence of parameter estimators in the binary response model with weak distributional assumptions0.81142100%
6Manski, C. F (1975) Maximum score estimation of the stochastic utility model of choice0.81142100%
7Evans, L. C. and Gariepy, R. F (2015) Measure Theory and Fine Properties of Functions0.7374350%
8–-, Chen, Z. and Gao, W. Y (2025) a)0.73732100%
9Cattaneo, M. D., Titiunik, R. and Yu, R. R (2025) a)0.73732100%
10–- and Liao, Z (2014) Sieve m inference on irregular parameters0.73732100%

Showing the top 10 of 56 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
1Boundary Discontinuity Designs: Theory and Practice0.84333