ON THE POWER PROPERTIES OF INFERENCE FOR PARAMETERS WITH INTERVAL IDENTIFIED SETS

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Authors: Federico A. Bugni, Mengsi Gao, Filip Obradović, Amilcar Velez
Cited by: 0
References: 19

Abstract

This article studies the power properties of confidence intervals (CIs) for a partially-identified parameter of interest with an interval identified set. We assume that the researcher has bounds estimators needed to construct the CIs proposed by Imbens and Manski (2004), Stoye (2009), and Stoye (2020), denoted by C I α 1 $CI_{\alpha }^{1}$ upper C upper I Subscript alpha Superscript 1 , C I α 2 $CI_{\alpha }^{2}$ upper C upper I Subscript alpha Superscript 2 , C I α 3 $CI_{\alpha }^{3}$ upper C upper I Subscript alpha Superscript 3 , and C I α 4 $CI_{\alpha }^{4}$ upper C upper I Subscript alpha Superscript 4 . We also assume that these bounds estimators are “ordered”: the lower bound estimator is less than or equal to the upper bound estimator. This setup arises in economic applications involving missing data and treatment effects. Under these conditions, we establish two results. First, we show that C I α 1 $CI_{\alpha }^{1}$ upper C upper I Subscript alpha Superscript 1 and C I α 2 $CI_{\alpha }^{2}$ upper C upper I Subscript alpha Superscript 2 are equally powerful, and both dominate C I

Fields of Study & Subjects

Neural Networks and Applications Statistical and Computational Modeling Control Systems and Identification

Publication details

Journal / source
Econometric Theory
Publisher
Cambridge University Press (CUP)
Pages
1–43
Publication date
3 August 2026
Language
EN