← Search

Review of Financial Studies Vol. 31 No. 4 2018

Getting the Incentives Right: Backfilling and Biases in Executive Compensation Data

Stuart L. Gillan; Jay C. Hartzell; Andrew Koch; Laura T. Starks

Abstract

We document that backfilling in the ExecuComp database introduces a data-conditioning bias that can affect inferences and make replicating previous work difficult. Although backfilling can be advantageous due to greater data coverage, if not addressed, the oversampling of firms with strong managerial incentives and higher subsequent returns leads to a significant upward bias in abnormal compensation, pay-for-performance sensitivity, and the magnitudes of several previously established relations. The bias also can lead to one misinterpreting the appropriate functional form of a relation and whether the data support one compensation theory over another. We offer methods to address this issue.

Volume
31
Issue
4
Pages
1460-1498
Sources
bibtex:phds-export.bib

Cite