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Nearly collinear robust procedures for 2SLS estimation

Young, Alwyn (2024) Nearly collinear robust procedures for 2SLS estimation. Stata Journal, 24 (1). 93 - 112. ISSN 1536-867X

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Identification Number: 10.1177/1536867X241233668

Abstract

Stata’s two-stage least-squares (2SLS) computation procedures are sensitive to near collinearity among regressors, allowing situations in which reported results depend upon factors as irrelevant as the order of the data and variables. This article illustrates this claim with the public-use data of Oreopoulos (2006, American Economic Review 96: 152–175), where the instrumented coefficient estimate can be made to vary between 0.012 and 30.0 in one specification by permuting the order of the variables. Different methods for improving the accuracy of 2SLS estimates are reviewed, and a Stata command for collinearity-robust 2SLS estimation is provided.

Item Type: Article
Official URL: https://journals.sagepub.com/home/STJ
Additional Information: © 2024 StataCorp LLC
Divisions: Economics
Subjects: H Social Sciences > HB Economic Theory
Date Deposited: 28 Mar 2024 12:27
Last Modified: 29 Nov 2024 05:57
URI: http://eprints.lse.ac.uk/id/eprint/122527

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