Accepted by Ken Klassen. Lillian F. Mills appreciates funding provided by the Stevie Eller Accounting Research Fellowship. We thank Thomas Dyckman, Don Goldman, Sanjay Gupta, Michelle Hanlon, Shane Heitzman, Ed Outslay, Kathy Petroni, Karen Pincus, Mort Pincus, Sonja Rego, William Schwartz, Terry Warfield, Connie Weaver, and workshop participants at Arizona State University, University of Arkansas, University of Cincinnati, Michigan State University, and University of Wisconsin for their thoughtful suggestions. The authors acknowledge the contribution of the Institutional Brokers Estimate System (I/B/E/S), a service of Thomson Financial, for providing the earnings per share forecast data. These data have been provided as part of a broad program to encourage earnings expectation research. The Internal Revenue Service (IRS) provided confidential tax information to one of the authors pursuant to provisions of the Internal Revenue Code that allow disclosure of information to a contractor to the extent necessary to perform a research contract for the IRS. None of the confidential tax information received from the IRS is disclosed in this paper. Statistical aggregates were used so that a specific taxpayer cannot be identified from information supplied by the IRS.
Last-Chance Earnings Management: Using the Tax Expense to Meet Analysts' Forecasts*
Article first published online: 15 JAN 2010
2004 Canadian Academic Accounting Association
Contemporary Accounting Research
Volume 21, Issue 2, pages 431–459, Summer 2004
How to Cite
DHALIWAL, D. S., GLEASON, C. A. and MILLS, L. F. (2004), Last-Chance Earnings Management: Using the Tax Expense to Meet Analysts' Forecasts. Contemporary Accounting Research, 21: 431–459. doi: 10.1506/TFVV-UYT1-NNYT-1YFH
- Issue published online: 15 JAN 2010
- Article first published online: 15 JAN 2010
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