Locally Regular and Efficient Tests in Non-Regular Semiparametric Models

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1. Verfasser: Lee, Adam
Format: Preprint
Veröffentlicht: 2024
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author Lee, Adam
author_facet Lee, Adam
contents This paper considers hypothesis testing in semiparametric models which may be non-regular. I show that C($α$) style tests are locally regular under mild conditions, including in cases where locally regular estimators do not exist, such as models which are (semiparametrically) weakly identified. I characterise the appropriate limit experiment in which to study local (asymptotic) optimality of tests in the non-regular case and generalise classical power bounds to this case. I give conditions under which these power bounds are attained by the proposed C($α$) style tests. The application of the theory to a single index model and an instrumental variables model is worked out in detail.
format Preprint
id arxiv_https___arxiv_org_abs_2403_05999
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Locally Regular and Efficient Tests in Non-Regular Semiparametric Models
Lee, Adam
Econometrics
Statistics Theory
This paper considers hypothesis testing in semiparametric models which may be non-regular. I show that C($α$) style tests are locally regular under mild conditions, including in cases where locally regular estimators do not exist, such as models which are (semiparametrically) weakly identified. I characterise the appropriate limit experiment in which to study local (asymptotic) optimality of tests in the non-regular case and generalise classical power bounds to this case. I give conditions under which these power bounds are attained by the proposed C($α$) style tests. The application of the theory to a single index model and an instrumental variables model is worked out in detail.
title Locally Regular and Efficient Tests in Non-Regular Semiparametric Models
topic Econometrics
Statistics Theory
url https://arxiv.org/abs/2403.05999