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Addressing unobserved selection bias in accounting studies: the bias minimization method

Peel, Michael John 2018. Addressing unobserved selection bias in accounting studies: the bias minimization method. European Accounting Review 27 (1) , pp. 173-183. 10.1080/09638180.2016.1220322

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Abstract

This note explains the minimum-biased estimator (MBE), which accounting researchers can use to analyze the robustness of regression or propensity score-matched treatment estimates to unobserved selection (endogeneity) bias. Based on the principles of the Heckman treatment model, the MBE entails estimating matched treatment effects within a range of propensity scores that minimizes unobserved selection bias. A major advantage of the MBE is that an instrumental variable is not required. The potential utility of the MBE in accounting studies is highlighted, and a familiar empirical illustration is provided.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: Taylor & Francis (Routledge): SSH Titles
ISSN: 0963-8180
Date of First Compliant Deposit: 5 September 2016
Date of Acceptance: 28 July 2016
Last Modified: 07 Mar 2019 11:57
URI: http://orca.cf.ac.uk/id/eprint/93579

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