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The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Asymmetric Least Squares Estimation and Testing

Newey, Whitney K., Powell, James L.·1987·Econometrica

Abstract

This paper considers estimation and testing using location measures for regression m odels that are based on an asymmetric least-squares criterion functio n. These estimators have properties that are analogous to regression quantiles, but are easier to calculate, as are the corresponding test statistics. Asymmetric least-squares tests of homoskedasticity and s ymmetry compare quite favorably with other tests of these hypotheses in terms of asymptotic relative efficiency. Consequently, asymmetric least-squares estimation provides a convenient and relatively efficie nt method of characterizing the conditional distributi on of a dependent variable given some regressors. Copyright 1987 by The Econometric Society.

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Metadata

Authors
Newey, W. K., & Powell, J. L.
Venue
Econometrica
Publisher
JSTOR
Published
1987-07
Volume
55
Issue
4
Pages
819
ISSN
0012-9682 (ISSN-L)
OpenAlex
W2042590947
Cited by
1,048
References
17
FWCI
2.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Asymmetric Least Squares Estimation and Testing. https://app.cochat.ai/papers/10.2307/1911031
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Newey, W. K., & Powell, J. L. (1987). Asymmetric Least Squares Estimation and Testing. Econometrica. https://doi.org/10.2307/1911031

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