Paper Detail

Bounds for Standard Errors in Combined Data

Jooyoung Cha, Yuya Sasaki, Nelson Matthew P. Tan

arxiv Score 5.2

Published 2026-06-23 · First seen 2026-06-24

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Abstract

We propose methods for constructing lower bounds on the standard errors of parameters estimated from moment conditions obtained across different samples. Sharp explicit bounds are derived by exploiting geometric inequalities when no information about correlations across samples is available. Furthermore, we develop computationally tractable sharp bounds for more general settings with no or partial correlation information, which can be obtained by solving a simple semidefinite program. Finally, we illustrate the practical usefulness of our method through three empirical cases: two macroeconomics examples involving menu cost and Heterogeneous Agent New-Keynesian models; and a two sample instrumental variable microeconomic study.

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BibTeX

@article{cha2026bounds,
  title = {Bounds for Standard Errors in Combined Data},
  author = {Jooyoung Cha and Yuya Sasaki and Nelson Matthew P. Tan},
  year = {2026},
  abstract = {We propose methods for constructing lower bounds on the standard errors of parameters estimated from moment conditions obtained across different samples. Sharp explicit bounds are derived by exploiting geometric inequalities when no information about correlations across samples is available. Furthermore, we develop computationally tractable sharp bounds for more general settings with no or partial correlation information, which can be obtained by solving a simple semidefinite program. Finally, w},
  url = {https://arxiv.org/abs/2606.24867},
  keywords = {econ.EM},
  eprint = {2606.24867},
  archiveprefix = {arXiv},
}

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