Peel, Michael J. ORCID: https://orcid.org/0000-0002-7444-390X 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 |
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Date Type: | Publication |
Status: | Published |
Schools: | Business (Including Economics) |
Publisher: | Taylor & Francis |
ISSN: | 0963-8180 |
Date of First Compliant Deposit: | 5 September 2016 |
Date of Acceptance: | 28 July 2016 |
Last Modified: | 07 Nov 2023 00:48 |
URI: | https://orca.cardiff.ac.uk/id/eprint/93579 |
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